Ying He

2.4k citations
89 papers · 1.6k · h-index 26

Impact in

  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders
  • Physiology top 5%
    • Pain Mechanisms and Treatments
    • Alzheimer's disease research and treatments

Papers in

Ying He

88 papers receiving 1.6k citations

Peers

Ying He
Comparison fields: 5 of 120
  • Genetics 150
  • Physiology 349
  • Immunology 232
  • Pharmacology 71
  • Cellular and Molecular Neuroscience 143
Replace Iku Utsunomiya with:
Iku Utsunomiya Japan
Min Xiu China
Elisabetta Ferraro Italy
Ewa Kontny Poland
Liqun Yang China
Bruno D’Agostino Italy
Fred C. Lam United States
Nicola Schiavone Italy
Yasumasa Nishito Japan
Ying He relative to Iku Utsunomiya Japan Iku Utsunomiya's profile →
Citations per field
00.5×10×12.5×
Iku Utsunomiya · 1×
Citations per year

Countries citing papers authored by Ying He

Since Specialization
Citations

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

Fields of papers citing papers by Ying He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201964
2 201263
3 201762
4 201055
5 202053
6 200752
7 201750
8 200949
9 200744
10 201542
11 201838
12 201536
13 201335
14 201834
15 202234
16 201832
17 201932
18 201531
19 201131
20 201130

About Ying He

Ying He is a scholar working on Molecular Biology, Physiology, Oncology, Genetics and Immunology, having authored 89 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (12 papers), Drug Transport and Resistance Mechanisms (10 papers), Immune Cell Function and Interaction (10 papers), Pain Mechanisms and Treatments (8 papers), Alzheimer's disease research and treatments (6 papers), Cannabis and Cannabinoid Research (5 papers), Pharmacological Effects and Toxicity Studies (5 papers) and Iron Metabolism and Disorders (4 papers). The work is most often cited by research in Genetics (150 citations), Physiology (349 citations), Immunology (232 citations), Pharmacology (71 citations) and Cellular and Molecular Neuroscience (143 citations). Ying He has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zaijie Jim Wang, Su Zeng, Diana J. Wilkie, Robert E. Molokie, Chyung‐Ru Wang, Woojin S. Kim, Glenda M. Halliday, Huixiang Yang, Yingwei Yao and Lijian Tao. Their work appears in journals such as Pharmacogenomics, Infection and Immunity, PLoS ONE, Chirality and Experimental Hematology.

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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