Shumin Li

2.5k citations
62 papers · 1.7k · 2 hit papers · h-index 21

Impact in

Papers in

    • Genomics and Phylogenetic Studies 5
    • Machine Learning in Bioinformatics 4
    • RNA and protein synthesis mechanisms 3

Shumin Li

59 papers receiving 1.6k citations

Shumin Li's Hit Papers

Symphonizing pileup and full-alignment for deep learning-based long-read variant calling 2022 · 168 citations
1680+4+8Years since publication100200300

Peers

Shumin Li
Comparison fields: 5 of 123
  • Reproductive Medicine 261
  • Molecular Medicine 130
  • Aging 38
  • Molecular Biology 678
  • Endocrinology 45
Replace Antonio J. Pérez‐Pulido with:
Antonio J. Pérez‐Pulido Spain
Kanneganti Murthy United States
Chao Zhao China
Yo Suzuki United States
Ruiying Wang China
Laurence A. Marchat Mexico
Yutaka Kato Japan
Shan Lü China
Simon Horvat Slovenia
Shumin Li relative to Antonio J. Pérez‐Pulido Spain Antonio J. Pérez‐Pulido's profile →
Citations per field
00.5×9.7×
Antonio J. Pérez‐Pulido · 1×
Citations per year

Countries citing papers authored by Shumin Li

Since Specialization
Citations

This map shows the geographic impact of Shumin Li'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 Shumin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shumin Li more than expected).

Fields of papers citing papers by Shumin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shumin Li. 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 Shumin Li. The network helps show where Shumin Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Shumin Li, 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 Shumin Li Line = papers co-authored together Shumin Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prevalence of polycystic ovary syndrome in women in China: a large community-based study
Hit paper breakdown →
2013313
2
Symphonizing pileup and full-alignment for deep learning-based long-read variant calling
Hit paper breakdown →
2022168
3 2014157
4 2017110
5 200781
6 201672
7 201862
8 201750
9 202049
10 201738
11 201838
12 201132
13 201932
14 201832
15 201032
16 202031
17 201431
18 202424
19 200924
20 201824

About Shumin Li

Shumin Li is a scholar working on Molecular Biology, Epidemiology, Genetics, Infectious Diseases and Cancer Research, having authored 62 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Machine Learning in Bioinformatics (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Antibiotic Resistance in Bacteria (3 papers), Plant Pathogenic Bacteria Studies (3 papers), Animal Virus Infections Studies (3 papers), Ferroptosis and cancer prognosis (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Reproductive Medicine (261 citations), Molecular Medicine (130 citations), Aging (38 citations), Molecular Biology (678 citations) and Endocrinology (45 citations). Shumin Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bin Liu, Ruibang Luo, Junhao Su, Tak‐Wah Lam, Amy Wing-Sze Leung, Zhenxian Zheng, Junjie Chen, Henry F. Epstein, Daopeng Yang and Sheng-Feng Lu. Their work appears in journals such as Frontiers in Microbiology, Frontiers in Cell and Developmental Biology, Bioinformatics, Journal of Cell Science and eLife.

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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