Sen Li

192 papers receiving 5.2k citations

Hit Papers

Endocrine and metabolic factors and the risk of idiopathic pulmonary fibrosis: a Mendelian randomization study 2024 · 38 citations
3819902026200220142505007501000

Peers

Sen Li
Comparison fields: 5 of 169
  • Endocrinology, Diabetes and Metabolism 854
  • Developmental Neuroscience 201
  • Molecular Biology 2.1k
  • Cancer Research 451
  • Genetics 834
Replace H. Kato with:
H. Kato Japan
Rodrigo Franco United States
Kyung‐Chul Choi South Korea
Jun Kanno Japan
Wensheng Liu China
Ren‐Shan Ge China
Rui Zhang China
Mikael Rydén Sweden
Ming Hong China
Cynthia J. Meininger United States
Sen Li relative to H. Kato Japan H. Kato's profile →
Citations per field
00.5×4.3×
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-authorship network

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
#Work
1 20250
2 20250
3 20251
4
Endocrine and metabolic factors and the risk of idiopathic pulmonary fibrosis: a Mendelian randomization study
Hit paper breakdown →
202438
5 20241
6 20243
7 20239
8 20238
9 20236
10 20236
11 20239
12 20233
13 20236
14 202124
15 202184
16 201324
17
Antioxidant Activity of Resveratrol in vitro
20122
18 200828
19
Binary Logistic Regression Analysis on the Influence Factors to Physical Fitness of Jiangsu Preschool Children
20081
20 20048

About Sen Li

Sen Li is a scholar working on Biological Psychiatry, Developmental Neuroscience, Molecular Biology, Orthopedics and Sports Medicine and Pharmacology, having authored 209 papers that have together received 5.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (11 papers), Tendon Structure and Treatment (9 papers), Cardiac electrophysiology and arrhythmias (9 papers), Genetic Associations and Epidemiology (8 papers), Neuroscience and Neural Engineering (7 papers), Gastric Cancer Management and Outcomes (7 papers), Gut microbiota and health (7 papers) and Inflammatory Biomarkers in Disease Prognosis (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (854 citations), Developmental Neuroscience (201 citations), Molecular Biology (2.1k citations), Cancer Research (451 citations) and Genetics (834 citations). Sen Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include E. Bryan Crenshaw, Donna M. Simmons, Michael G. Rosenfeld, Larry W. Swanson, Yingwei Xue, Xiuwen Lan, Shubin Song, Mattias Jakobsson, Chunfeng Li and Jiaxin Wang. Their work appears in journals such as Frontiers in Endocrinology, Medicine, Frontiers in Pharmacology, PLoS ONE 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026