Shuli He

1.0k citations
32 papers · 685 · h-index 13

Impact in

Papers in

    • Adipose Tissue and Metabolism 7
    • Telomeres, Telomerase, and Senescence 6
    • Liver Disease Diagnosis and Treatment 7

Shuli He

29 papers receiving 676 citations

Peers

Shuli He
Comparison fields: 5 of 84
  • Orthopedics and Sports Medicine 147
  • Aging 22
  • Nephrology 76
  • Endocrinology, Diabetes and Metabolism 154
  • Clinical Biochemistry 40
Replace Neşe Ersöz Gülçelik with:
Neşe Ersöz Gülçelik Türkiye
J. C. Smith United Kingdom
Pauli Suominen Finland
Songbo Fu China
Rattana Leelawattana Thailand
Udayan Ray Australia
Anna Bohdanowicz-Pawlak Poland
Ryohei Sekimoto Japan
Mansi Dalal United States
Yu Tsushima Japan
Shuli He relative to Neşe Ersöz Gülçelik Türkiye Neşe Ersöz Gülçelik's profile →
Citations per field
00.5×5.1×
Neşe Ersöz Gülçelik · 1×
Citations per year

Countries citing papers authored by Shuli He

Since Specialization
Citations

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

Fields of papers citing papers by Shuli He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011158
2 201686
3 202086
4 201560
5 201955
6 202128
7 201224
8 201622
9 202018
10 201418
11 201916
12 202014
13 202012
14 202012
15 201912
16 20229
17 20208
18 20188
19 20137
20 20206

About Shuli He

Shuli He is a scholar working on Physiology, Epidemiology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry, having authored 32 papers that have together received 685 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Telomeres, Telomerase, and Senescence (6 papers), Bone health and osteoporosis research (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Nutritional Studies and Diet (4 papers), Diet, Metabolism, and Disease (3 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (147 citations), Aging (22 citations), Nephrology (76 citations), Endocrinology, Diabetes and Metabolism (154 citations) and Clinical Biochemistry (40 citations). Shuli He has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Wei Li, Yuxiu Li, Fan Ping, Weibo Xia, Yan Jiang, Ou Wang, Yue Sun, Xiaoping Xing, Huabing Zhang and Mei Li. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, Lipids in Health and Disease, PLoS ONE, Gerontology and Frontiers in Pediatrics.

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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