Author

M. Böhm

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 3 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 3 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell signaling & trafficking· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Approach:machine learning (classical)· 1 Organism:multiple species· 1

Frequent Co-Authors

A. Dudziak· 1 shared B. Painter· 1 shared C. Clements· 1 shared C. Gray· 1 shared D. G. Chapple· 1 shared E. Sanchez-Garcia· 1 shared E. Taylor· 1 shared G. H. de Oliveira Caetano· 1 shared

Activity by Year

2021-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 9 mutual co-author links

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1 shared paperCell Biology

A. Dudziak

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Quantifying the IUCN Red List: Using historical assessments to calculate future extinction risk

R. Bates, E. Taylor, Y. Sun, R. Gumbs, M. Böhm, C. Gray, J. Rosindell

This paper calculates continuous extinction risk from historical IUCN Red List data, revealing that species attributes like taxonomy, body size, and habitat specialism influence risk beyond the current categorical assessments.

bioRxiv · Feb 4, 2024 · PreprintEcology

Past, present, and future of the Living Planet Index

S. E. H. Ledger, L. McRae, M. Böhm, R. Almond, M. Grooten, C. Clements, J. Currie, T. Galewski, M. Jenkins, B. Painter, L. Young, J. Loh, S. Deinet, V. Marconi, K. Scott-Gatty, , R. Freeman

The paper reviews the evolution of the Living Planet Index, its role in biodiversity monitoring, and its findings of a 68% global vertebrate population decline between 1970 and 2016.

bioRxiv · Jun 20, 2022Ecology

Automated assessment reveals extinction risk of reptiles is widely underestimated across space and phylogeny

G. H. de Oliveira Caetano, D. G. Chapple, R. Grenyer, T. Raz, J. Rosenblatt, R. Tingley, M. Böhm, S. Meiri, U. Roll

This paper presents an automated machine learning method to assess extinction risk for unassessed reptiles, finding that unassessed species are more likely to be threatened and that assessor bias affects outcomes.

bioRxiv · Jan 19, 2022 · PreprintEcology

Differentially accessible Cdc4 phospho-degrons regulate Ctf19CCAN kinetochore subunit stability in mitosis

S. Westermann, M. Böhm, K. Killinger, A. Dudziak, P. Pant, K. Jänen, S. Hohoff, K. Mechtler, M. Örd, M. Loog, E. Sanchez-Garcia

The paper shows that phosphorylation of Cdc4 phospho-degrons on Ame1CENP-U regulates its stability during mitosis by targeting it for degradation, with the Mtw1 complex protecting it from degradation.

bioRxiv · Feb 12, 2021Cell Biology