Xiaomu Li

1.1k citations
51 papers · 616 · h-index 17

Impact in

Papers in

    • Hormonal Regulation and Hypertension 6
    • Pituitary Gland Disorders and Treatments 5
    • Diabetes, Cardiovascular Risks, and Lipoproteins 5
    • Diabetes Management and Research 4
    • Pancreatic function and diabetes 10
    • Adrenal and Paraganglionic Tumors 5

Xiaomu Li

45 papers receiving 607 citations

Peers

Xiaomu Li
Comparison fields: 5 of 98
  • Developmental Neuroscience 45
  • Endocrinology, Diabetes and Metabolism 166
  • Neurology 55
  • Endocrine and Autonomic Systems 35
  • Cancer Research 66
Replace Masahiro Okouchi with:
Masahiro Okouchi Japan
Hongjiao Xu China
Josiane Coulaud France
Margarita Jiménez-Palomares Spain
Djordje Radak Serbia
Toshitaka Nakagawa Japan
Kroekkiat Chinda Thailand
Yutao Zhan China
Eiji Sugaru Japan
Xiaomu Li relative to Masahiro Okouchi Japan Masahiro Okouchi's profile →
Citations per field
00.5×6.8×
Masahiro Okouchi · 1×
Citations per year

Countries citing papers authored by Xiaomu Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201649
2 202048
3 202446
4 201143
5 201241
6 201235
7 201027
8 201125
9 201121
10 201820
11 202020
12 202120
13 201819
14 201519
15 201319
16 202019
17 202217
18 202115
19 202114
20 202211

About Xiaomu Li

Xiaomu Li is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Epidemiology and Physiology, having authored 51 papers that have together received 616 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), Metabolism, Diabetes, and Cancer (6 papers), Hormonal Regulation and Hypertension (6 papers), Pituitary Gland Disorders and Treatments (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Adrenal and Paraganglionic Tumors (5 papers), Diabetes Management and Research (4 papers) and Diabetes and associated disorders (4 papers). The work is most often cited by research in Developmental Neuroscience (45 citations), Endocrinology, Diabetes and Metabolism (166 citations), Neurology (55 citations), Endocrine and Autonomic Systems (35 citations) and Cancer Research (66 citations). Xiaomu Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xin Gao, Yan Ling, Aimin Xu, Rong Xie, Kenneth K.Y. Cheng, Chao Shen, Baile Wang, Qian Gu, Daru Lu and Chao Lin. Their work appears in journals such as Nature Communications, BMC Endocrine Disorders, Oxidative Medicine and Cellular Longevity, Journal of Diabetes and Proceedings of the National Academy of Sciences.

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