Author

Feng Jin

First Hospital of ShijiazhuangORCID 0000-0003-1756-1106Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Feng Jin5 papers · Baylor College of Medicine

Biology Disciplines

Click to filter author papers

Genetics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Bin CongiD· 1 shared Bingxin LiuiD· 1 shared Chaolong Lu· 1 shared Chunyan WangiD· 1 shared Guangping FuiD· 1 shared Jie TongiD· 1 shared Jing LiiD· 1 shared Junyan WangiD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperGenetics

Bin CongORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

MicrobiologyVeterinary ResearchPeer-reviewedMar 22, 2025

Dynamic interplay between RNA N6-methyladenosine modification and porcine reproductive and respiratory syndrome virus infection

Zihan Wang, Jing Li, Sai-Ya Ma…·Jie Tong

This study identifies m6A modifications in PRRSV genome and shows their role in viral replication and host immune response, suggesting potential therapeutic targets.

4 citations

non-human primateexperimental assay

𝕏 PostBluesky

GeneticsbioRxivPreprintNov 10, 2020

Circular RNA as a potential biomarker for forensic age prediction using multiple machine learning models: A preliminary study

Junyan Wang, Chunyan Wang, Lihong Fu…·Shujin Li

This study explores circRNAs as age prediction biomarkers using machine learning models in forensic contexts, identifying 7 circRNAs with high predictive accuracy.

6 citations

𝕏 PostBluesky