Yanhan Li

624 citations
21 papers · 435 · h-index 9

Impact in

Papers in

Yanhan Li

21 papers receiving 431 citations

Peers

Yanhan Li
Comparison fields: 5 of 88
  • Infectious Diseases 229
  • Animal Science and Zoology 68
  • Immunology 56
  • Molecular Biology 145
  • Clinical Biochemistry 12
Replace Danhua Zhao with:
Danhua Zhao China
Lindsay G. A. McKay United States
Andrey B. Komissarov Russia
Stephanie S. Chen United States
Saborni Chakraborty United States
Mami Yoshii Japan
Carola Berger Germany
P Orsolini Italy
Eirini D. Tseligka Switzerland
Héctor Cuello Argentina
Yanhan Li relative to Danhua Zhao China Danhua Zhao's profile →
Citations per field
00.5×10×15×21.3×
Danhua Zhao · 1×
Citations per year

Countries citing papers authored by Yanhan Li

Since Specialization
Citations

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

Fields of papers citing papers by Yanhan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004180
2 201586
3 202135
4 201921
5 200316
6 202215
7 202111
8 201510
9 20199
10 20148
11 20188
12 20187
13 20197
14 20096
15 20195
16 20224
17 20252
18
[Potent neutralization antibody elicited in mice by SARS-associated coronavirus spike protein S1 domain].
20042
19 20191
20 20251

About Yanhan Li

Yanhan Li is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Genetics and Pathology and Forensic Medicine, having authored 21 papers that have together received 435 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (2 papers), Kidney Stones and Urolithiasis Treatments (2 papers), Immune Cell Function and Interaction (2 papers), Viral Infections and Vectors (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Immunotherapy and Immune Responses (2 papers), Virus-based gene therapy research (2 papers) and Biomedical Research and Pathophysiology (1 paper). The work is most often cited by research in Infectious Diseases (229 citations), Animal Science and Zoology (68 citations), Immunology (56 citations), Molecular Biology (145 citations) and Clinical Biochemistry (12 citations). Yanhan Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhongchao Han, Michael J. Moore, Michael Farzan, Hyeryun Choe, Wenhui Li, Swee Kee Wong, Thomas C. Greenough, James A. Coderre, Natalya Vasilieva and Jens H. Kuhn. Their work appears in journals such as PLoS ONE, Scientific Reports, Industrial Crops and Products, Archives of Virology and Human Vaccines & Immunotherapeutics.

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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