Longfei Ding

1.5k citations
31 papers · 1.2k · h-index 14

Impact in

Papers in

Longfei Ding

27 papers receiving 1.2k citations

Peers

Longfei Ding
Comparison fields: 5 of 75
  • Infectious Diseases 838
  • Immunology 60
  • Electronic, Optical and Magnetic Materials 46
  • Biomedical Engineering 102
  • Molecular Biology 132
Replace Siti Naqiah Amrun with:
Siti Naqiah Amrun Singapore
Krupakar Parthasarathy India
Zhiping Sun China
Jackelyn Murray United States
Keith Walcott United States
Bastian Joehnk United States
Mengmeng Cui China
Zhennan Zhao China
Promod K. Mehta India
Longfei Ding relative to Siti Naqiah Amrun Singapore Siti Naqiah Amrun's profile →
Citations per field
00.5×2×3×4.3×
Siti Naqiah Amrun · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020366
2 2020224
3 2020128
4 2022113
5 202156
6 202145
7 202140
8 202128
9 202027
10 202027
11 202127
12 202221
13 202019
14 201915
15 20129
16 20217
17 20224
18 20234
19 20212
20 20242

About Longfei Ding

Longfei Ding is a scholar working on Infectious Diseases, Epidemiology, Anesthesiology and Pain Medicine, Immunology and Critical Care and Intensive Care Medicine, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (12 papers), Influenza Virus Research Studies (6 papers), COVID-19 Clinical Research Studies (2 papers), Anesthesia and Pain Management (2 papers), interferon and immune responses (2 papers), Sleep and related disorders (1 paper), Nausea and vomiting management (1 paper) and Airway Management and Intubation Techniques (1 paper). The work is most often cited by research in Infectious Diseases (838 citations), Immunology (60 citations), Electronic, Optical and Magnetic Materials (46 citations), Biomedical Engineering (102 citations) and Molecular Biology (132 citations). Longfei Ding has collaborated with scholars based in China. Frequent co-authors include Jianqing Xu, Yaguang Zhang, Chunyan Yi, Zhiyang Ling, Zhuo Yang, Xiaoyu Sun, Bing Sun, Wangpeng Gu, Xiaoxia Lü and Aidong Qu. Their work appears in journals such as Emerging Microbes & Infections, Vaccine, Cell Reports, The Journal of Infectious Diseases and Genome Medicine.

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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