Author

Song Zhang

Nanjing University

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

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Biology Disciplines

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Ecology· 3

Signature Assays, Organisms & Methods

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Assay:metagenomics· 3 Research Focus:benchmarking· 2 Approach:statistical model· 2 Research Focus:database / resource· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1

Frequent Co-Authors

Alejandra Goldenberg‐VilariD· 2 shared Alexia María González-FerrerasiD· 2 shared Aron D. KatziD· 2 shared Camille P. AlbouyiD· 2 shared Chelsea I. Hatzenbuhler· 2 shared Courtney E. LarsoniD· 2 shared Deirdre Bridget GleesoniD· 2 shared Emma R. Stevens· 2 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersEcology

Alejandra Goldenberg‐VilarORCID

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Author profile →

3 papers

Recent·Most cited

The overall and sequence-specific degradation of soil extracellular DNA fragments: rates and influential factors

Ting Li, Song Zhang, Zelin Wang, Wei Huang, Zejin Zhang, Fang Wang, Dong Liu, Xiaoyong Cui, Rongxiao Che

The paper measures overall and sequence-specific degradation rates of extracellular DNA fragments in soil and identifies factors influencing these rates.

bioRxiv · Jun 5, 2026 · PreprintEcology

Integrated reanalysis of global riverine fish eDNA datasets shows robustness and congruence of biodiversity conclusions

Yan Zhang, Heng Zhang, Hiroshi D. Akashi, Camille P. Albouy, Kara J. Andres, José Barquín, Jeanine Brantschen, Richard E. Connon, Joseph M. Craine, Deirdre Bridget Gleeson, Alejandra Goldenberg‐Vilar, Alexia María González-Ferreras, Chelsea I. Hatzenbuhler, Kamil Hupało, Josephine Hyde, , Florian Altermatt

This study reanalyzes global riverine fish eDNA datasets to show that biodiversity conclusions are robust despite varying bioinformatic workflows and reference databases.

Molecular Ecology · Apr 1, 2026Peer-reviewedEcology

Globally unified analysis of riverine eDNA reveals common associations of fish biodiversity with drainage characteristics

This study uses global eDNA data to show how riverine fish biodiversity relates to drainage characteristics, revealing climate and human activity effects vary by biodiversity facet and catchment size.

bioRxiv · Sep 24, 2025 · PreprintEcology