Longfei Ding

1.6k citations
22 papers · 759 · h-index 9

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • Animal Virus Infections Studies

Papers in

    • SARS-CoV-2 and COVID-19 Research 6
    • Viral gastroenteritis research and epidemiology 2
    • COVID-19 Clinical Research Studies 2
    • Influenza Virus Research Studies 6
    • Respiratory viral infections research 3

Longfei Ding

18 papers receiving 752 citations

Peers

Longfei Ding
Comparison fields: 5 of 97
  • Infectious Diseases 523
  • Animal Science and Zoology 58
  • Biomedical Engineering 192
  • Molecular Biology 288
  • Computational Theory and Mathematics 59
Replace Hongliang He with:
Hongliang He China
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Suhua He China
Rory Henderson United States
Xiaoyan Pan China
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Longfei Ding relative to Hongliang He China Hongliang He's profile →
Citations per field
00.5×1.5×2.3×
Hongliang He · 1×
Citations per year

Countries citing papers authored by Longfei Ding

Since Specialization
Citations

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

Fields of papers citing papers by Longfei Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020332
2 2020216
3 202147
4 202142
5 202136
6 202123
7 202023
8 201914
9 20129
10 20224
11 20134
12 20233
13 20211
14 20241
15 20241
16 20241
17 20251
18 20151
19 20250
20 20250

About Longfei Ding

Longfei Ding is a scholar working on Infectious Diseases, Epidemiology, Immunology, Surgery and Molecular Biology, having authored 22 papers that have together received 759 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Respiratory viral infections research (3 papers), interferon and immune responses (2 papers), Viral gastroenteritis research and epidemiology (2 papers), COVID-19 Clinical Research Studies (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Infectious Diseases (523 citations), Animal Science and Zoology (58 citations), Biomedical Engineering (192 citations), Molecular Biology (288 citations) and Computational Theory and Mathematics (59 citations). Longfei Ding has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Jianqing Xu, Chen Zhao, Bing Sun, Zhiyang Ling, Xiaoyu Sun, Wangpeng Gu, Yaguang Zhang, Chunyan Yi, Zhuo Yang and Aidong Qu. Their work appears in journals such as Polymers for Advanced Technologies, Journal of Virology, Nature and Science of Sleep, Acta Pharmaceutica Sinica B and Frontiers in Immunology.

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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