Wei Shen

6.7k citations
67 papers · 3.6k indexed · 3 hit papers · h-index 24

Impact in

Papers in

Wei Shen

64 papers receiving 3.6k citations

Hit Papers

SeqKit2: A Swiss army knife for sequence and alignment processing 2024 · 98 citations
98201620262019202250010001.5k

Peers

Wei Shen
Comparison fields: 5 of 148
  • Microbiology 268
  • Endocrinology 212
  • Molecular Medicine 205
  • Ecology 1.0k
  • Molecular Biology 2.0k
Replace Yi Geng with:
Yi Geng China
Reindert Nijland Netherlands
Li Song China
Fuquan Hu China
Max Käller Sweden
Jian Ye China
Måns Magnusson Sweden
Gary Xie United States
Ramana Madupu United States
Wei Shen relative to Yi Geng China Yi Geng's profile →
Citations per field
00.5×3.2×
Yi Geng · 1×
Citations per year

Countries citing papers authored by Wei Shen

Since Specialization
Citations

This map shows the geographic impact of Wei Shen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wei Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Shen more than expected).

Fields of papers citing papers by Wei Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei Shen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wei Shen. The network helps show where Wei Shen may publish in the future.

Co-authors

The 25 scholars most cited alongside Wei Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wei Shen Line = papers co-authored together Wei Shen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 202414
3 20241
4
SeqKit2: A Swiss army knife for sequence and alignment processing
Hit paper breakdown →
202498
5 20235
6 20234
7 202228
8 20214
9 202014
10 20207
11 201613
12 201646
13 201613
14
SeqKit: A Cross-Platform and Ultrafast Toolkit for FASTA/Q File Manipulation
Hit paper breakdown →
20161693
15 2007224
16 200680
17 20021
18 199526
19 199466
20
Reactive Observation of Inactivated Epidemic Hemorrhagic Fever Vaccine in Human Test
19901

About Wei Shen

Wei Shen is a scholar working on Molecular Medicine, Microbiology, Ecology, Endocrinology and Molecular Biology, having authored 67 papers that have together received 3.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (19 papers), Bacteriophages and microbial interactions (19 papers), Antibiotic Resistance in Bacteria (9 papers), Gut microbiota and health (7 papers), RNA and protein synthesis mechanisms (7 papers), Microbial infections and disease research (6 papers), Bacterial biofilms and quorum sensing (5 papers) and Bacterial Genetics and Biotechnology (5 papers). The work is most often cited by research in Microbiology (268 citations), Endocrinology (212 citations), Molecular Medicine (205 citations), Ecology (1.0k citations) and Molecular Biology (2.0k citations). Wei Shen has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Shuai Le, Fuquan Hu, Yan Li, Hong Ren, Yong Li, Johnny Huard, Yuhui Yang, Jinhong Zhu, Mengyu Shen and Xia Zhao. Their work appears in journals such as Frontiers in Microbiology, Scientific Reports, PLoS ONE, Bioinformatics and Current Microbiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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