Sen Li

7.7k citations
214 papers · 5.7k · 1 hit paper · h-index 34

Impact in

Papers in

    • Pluripotent Stem Cells Research 10
    • Gut microbiota and health 6
    • Inflammatory Biomarkers in Disease Prognosis 6

Sen Li

197 papers receiving 5.6k citations

Sen Li's Hit Papers

Dwarf locus mutants lacking three pituitary cell types result from mutations in the POU-domain gene pit-1 1990 · 1.1k citations
1.1k0+12+24Years since publication2505007501000

Peers

Sen Li
Comparison fields: 5 of 172
  • Endocrinology, Diabetes and Metabolism 864
  • Developmental Neuroscience 196
  • Aging 53
  • Genetics 814
  • Molecular Biology 2.0k
Replace H. Kato with:
H. Kato Japan
Mikael Rydén Sweden
Jun Kanno Japan
Ming Hong China
Masatoshi Nomura Japan
Joan J. Guinovart Spain
Ryoichi Takayanagi Japan
Keiichiro Suzuki Japan
Rui Zhang China
Sen Li relative to H. Kato Japan H. Kato's profile →
Citations per field
00.5×2×3×4.5×
H. Kato · 1×
Citations per year

Countries citing papers authored by Sen Li

Since Specialization
Citations

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

Fields of papers citing papers by Sen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 214 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Dwarf locus mutants lacking three pituitary cell types result from mutations in the POU-domain gene pit-1
Hit paper breakdown →
19901082
2 2019227
3 2015194
4 2019191
5 2011130
6 2014122
7 2017109
8 2011106
9 201098
10 202189
11 202087
12 201486
13 201783
14 201779
15 201774
16 201771
17 201566
18 201363
19 200860
20 201953

About Sen Li

Sen Li is a scholar working on Molecular Biology, Oncology, Genetics, Surgery and Cardiology and Cardiovascular Medicine, having authored 214 papers that have together received 5.7k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (10 papers), Tendon Structure and Treatment (9 papers), Genetic Associations and Epidemiology (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Gut microbiota and health (6 papers), Inflammatory Biomarkers in Disease Prognosis (6 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (864 citations), Developmental Neuroscience (196 citations), Aging (53 citations), Genetics (814 citations) and Molecular Biology (2.0k citations). Sen Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Larry W. Swanson, Donna M. Simmons, E. Bryan Crenshaw, Michael G. Rosenfeld, Yingwei Xue, Xiuwen Lan, Shubin Song, Mattias Jakobsson, Jiaxin Wang and Chunfeng Li. Their work appears in journals such as Frontiers in Endocrinology, Medicine, PLoS ONE, Frontiers in Pharmacology and International Immunopharmacology.

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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