Yahui Li

597 citations
38 papers · 441 · h-index 11

Impact in

Papers in

Yahui Li

36 papers receiving 427 citations

Peers

Yahui Li
Comparison fields: 5 of 101
  • Biochemistry 119
  • Biological Psychiatry 20
  • Food Science 124
  • Physiology 25
  • Reproductive Medicine 43
Replace Hyungwoo Kim with:
Hyungwoo Kim South Korea
Chandra Sekhar Yadavalli United States
Borka Kušić Croatia
Lanjie He China
Giovanni Monastra Italy
Xiaxia Du China
Hyun‐Ji Oh South Korea
Rajes Qvist Malaysia
Wanyue Huang China
Yeunhwa Gu Japan
Yahui Li relative to Hyungwoo Kim South Korea Hyungwoo Kim's profile →
Citations per field
00.5×5.4×
Hyungwoo Kim · 1×
Citations per year

Countries citing papers authored by Yahui Li

Since Specialization
Citations

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

Fields of papers citing papers by Yahui Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018119
2 201947
3 200737
4 202026
5 201226
6 202120
7 202017
8 202117
9 201215
10 201614
11 201110
12 201510
13 20229
14 20238
15 20188
16 20246
17 20245
18 20225
19 20225
20 20234

About Yahui Li

Yahui Li is a scholar working on Epidemiology, Reproductive Medicine, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 38 papers that have together received 441 indexed citations. Recurring topics across this work include Sperm and Testicular Function (5 papers), Reproductive Biology and Fertility (4 papers), Phytochemicals and Antioxidant Activities (3 papers), Long-Term Effects of COVID-19 (2 papers), Reproductive biology and impacts on aquatic species (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Thyroid Disorders and Treatments (2 papers) and Acute Ischemic Stroke Management (2 papers). The work is most often cited by research in Biochemistry (119 citations), Biological Psychiatry (20 citations), Food Science (124 citations), Physiology (25 citations) and Reproductive Medicine (43 citations). Yahui Li has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Linlin Fan, Lixia Zhang, Ying Wāng, Jianzhong Zhou, Pujun Xie, Xiangyun Chen, Xilong Li, Yu Yang, Jinqiang Zhang and Chenghong Xiao. Their work appears in journals such as PLoS ONE, Clinical & Translational Oncology, Scientific Reports, Comparative Biochemistry and Physiology Part D Genomics and Proteomics and Nutrition & Metabolism.

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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