Dan-di Li

651 citations
36 papers · 436 · h-index 13

Impact in

Papers in

Dan-di Li

33 papers receiving 429 citations

Peers

Dan-di Li
Comparison fields: 5 of 45
  • Infectious Diseases 315
  • Animal Science and Zoology 108
  • Cardiology and Cardiovascular Medicine 195
  • Hepatology 40
  • Epidemiology 132
Replace Pooja R. Patil with:
Pooja R. Patil India
Setsuko Kitaoka Japan
Gerrit Koen Netherlands
Ilana Silberstein Israel
Jen-Shiou Lin Taiwan
Takeshi Tsugawa Japan
Sigrun Roesel Philippines
Natthawan Chaimongkol Japan
Ilona Mihály Hungary
C Jayavasu Thailand
Dan-di Li relative to Pooja R. Patil India Pooja R. Patil's profile →
Citations per field
00.5×2×3.1×
Pooja R. Patil · 1×
Citations per year

Countries citing papers authored by Dan-di Li

Since Specialization
Citations

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

Fields of papers citing papers by Dan-di Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan-di 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 Dan-di Li Line = papers co-authored together Dan-di 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 200853
2 201148
3 201544
4 200842
5 201534
6 200731
7 201526
8 201723
9 201516
10 200914
11 201813
12 201813
13 201513
14 201911
15 20178
16 20245
17
[Molecular epidemiology of rotavirus among children under 5 years old hospitalized for diarrhea in China].
20095
18
[Detection of bovine rotavirus G10P[11] in a diary farm in Daqing, China].
20105
19
[Molecular and epidemiological study on among children under 5 years old in Nanjing].
20124
20
[Study on the epidemiological of rotavirus diarrhea in Lulong in 2008-2009].
20103

About Dan-di Li

Dan-di Li is a scholar working on Infectious Diseases, Epidemiology, Cardiology and Cardiovascular Medicine, Animal Science and Zoology and Genetics, having authored 36 papers that have together received 436 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (18 papers), Respiratory viral infections research (10 papers), Viral Infections and Immunology Research (7 papers), Animal Virus Infections Studies (6 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Immune Cell Function and Interaction (2 papers), Virus-based gene therapy research (2 papers) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Infectious Diseases (315 citations), Animal Science and Zoology (108 citations), Cardiology and Cardiovascular Medicine (195 citations), Hepatology (40 citations) and Epidemiology (132 citations). Dan-di Li has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Weixia Cheng, Na Liu, Zhao‐yin Fang, Ziqian Xu, Lili Pang, Jie‐mei Yu, Qing Zhang, Yu Jin, Miao Jin and Xiaoman Sun. Their work appears in journals such as Virology Journal, Journal of Clinical Virology, Journal of Virology, Journal of Clinical Microbiology and Biochemical and Biophysical Research Communications.

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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