Xiaomu Li

1.2k citations
54 papers · 697 · 1 hit paper · h-index 17

Impact in

Papers in

Xiaomu Li

50 papers receiving 683 citations

Xiaomu Li's Hit Papers

MDM2 induces pro-inflammatory and glycolytic responses in M1 macrophages by integrating iNOS-nitric oxide and HIF-1α pathways in mice 2024 · 73 citations
730+1Years since publication204060

Peers

Xiaomu Li
Comparison fields: 5 of 96
  • Developmental Neuroscience 46
  • Endocrinology, Diabetes and Metabolism 127
  • Neurology 51
  • Endocrine and Autonomic Systems 38
  • Cancer Research 63
Replace Kyle H. Flippo with:
Kyle H. Flippo United States
Hongjiao Xu China
Josiane Coulaud France
Jiamei Jiang China
Danijela Savić Serbia
Amanda W. Wyatt United Kingdom
Bing Zhao China
Shan‐Feng Ma China
Ahmed Alhusban Jordan
Xiaomu Li relative to Kyle H. Flippo United States Kyle H. Flippo's profile →
Citations per field
00.5×2.6×
Kyle H. Flippo · 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 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MDM2 induces pro-inflammatory and glycolytic responses in M1 macrophages by integrating iNOS-nitric oxide and HIF-1α pathways in mice
Hit paper breakdown →
202473
2 201651
3 202049
4 201149
5 201242
6 201239
7 201028
8 201127
9 202023
10 201322
11 201122
12 202121
13 201821
14 202019
15 201819
16 201519
17 202218
18 202116
19 202115
20 202211

About Xiaomu Li

Xiaomu Li is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Epidemiology and Physiology, having authored 54 papers that have together received 697 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), Metabolism, Diabetes, and Cancer (3 papers), Adipose Tissue and Metabolism (3 papers), Hormonal Regulation and Hypertension (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Adrenal and Paraganglionic Tumors (3 papers), MicroRNA in disease regulation (3 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Developmental Neuroscience (46 citations), Endocrinology, Diabetes and Metabolism (127 citations), Neurology (51 citations), Endocrine and Autonomic Systems (38 citations) and Cancer Research (63 citations). Xiaomu Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xin Gao, Yan Ling, Kenneth K.Y. Cheng, Aimin Xu, Rong Xie, Chao Shen, Baile Wang, Qian Gu, Daru Lu and Mayur Madhavan. Their work appears in journals such as BMC Endocrine Disorders, Nature Communications, Brain Research, Oxidative Medicine and Cellular Longevity and Journal of Diabetes.

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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