Runcheng Li

509 citations
36 papers · 356 · h-index 12

Impact in

Papers in

Runcheng Li

33 papers receiving 351 citations

Peers

Runcheng Li
Comparison fields: 5 of 62
  • Animal Science and Zoology 154
  • Infectious Diseases 124
  • Agronomy and Crop Science 59
  • Parasitology 36
  • Cardiology and Cardiovascular Medicine 107
Replace V. Psychas with:
V. Psychas Greece
Karin Ullman Sweden
Markus Freick Germany
Kerlei Cristina Médici Brazil
Vittorio Larocca Italy
Elisabete Takiuchi Brazil
M. Parthiban India
Elis Lorenzetti Brazil
Shanyuan Zhu China
Mélanie J. Boileau United States
Runcheng Li relative to V. Psychas Greece V. Psychas's profile →
Citations per field
00.5×4.6×
V. Psychas · 1×
Citations per year

Countries citing papers authored by Runcheng Li

Since Specialization
Citations

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

Fields of papers citing papers by Runcheng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201945
2 201335
3 201631
4 201819
5 202519
6 201318
7 201716
8 201216
9 201215
10 201413
11 201813
12 201911
13 201111
14 201910
15 201710
16 201710
17 20138
18 20118
19 20178
20 20147

About Runcheng Li

Runcheng Li is a scholar working on Animal Science and Zoology, Infectious Diseases, Cardiology and Cardiovascular Medicine, Epidemiology and Agronomy and Crop Science, having authored 36 papers that have together received 356 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (15 papers), Viral Infections and Immunology Research (10 papers), Viral gastroenteritis research and epidemiology (8 papers), Herpesvirus Infections and Treatments (6 papers), Parasitic Infections and Diagnostics (4 papers), Animal Disease Management and Epidemiology (4 papers), Virus-based gene therapy research (4 papers) and Microbial infections and disease research (3 papers). The work is most often cited by research in Animal Science and Zoology (154 citations), Infectious Diseases (124 citations), Agronomy and Crop Science (59 citations), Parasitology (36 citations) and Cardiology and Cardiovascular Medicine (107 citations). Runcheng Li has collaborated with scholars based in China, India and Australia. Frequent co-authors include Xinglong Yu, Meng Ge, Guo‐Hua Liu, Chao‐Ting Xiao, Yunfei Hu, Wenjie Gong, Changchun Tu, Taotao Yang, Zhang Luo and Rong Wei. Their work appears in journals such as Archives of Virology, Optics Letters, Tropical Animal Health and Production, Journal of General Virology and Virus Research.

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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