Lu Ding

2.2k citations
55 papers · 1.8k · h-index 25

Impact in

  • Virology top 1%
    • HIV Research and Treatment
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

Lu Ding

55 papers receiving 1.7k citations

Peers

Lu Ding
Comparison fields: 5 of 114
  • Virology 581
  • Immunology 438
  • Cancer Research 260
  • Infectious Diseases 299
  • Microbiology 76
Replace Nicole Israël with:
Nicole Israël France
Barbara Maschera United Kingdom
Maria Isaguliants Sweden
Ping An United States
Dumith Chequer Bou‐Habib Brazil
Yufei Wang China
Kiyoko S. Akagawa Japan
Olaf Kutsch United States
Julien van Grevenynghe Canada
John Stambas Australia
Lu Ding relative to Nicole Israël France Nicole Israël's profile →
Citations per field
00.5×3.3×
Nicole Israël · 1×
Citations per year

Countries citing papers authored by Lu Ding

Since Specialization
Citations

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

Fields of papers citing papers by Lu Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020130
2 2002118
3 1998115
4 2020110
5 200393
6 200185
7 200179
8 199878
9 201475
10 200158
11 201657
12 199854
13 202054
14 200451
15 202049
16 200847
17 201845
18 200838
19 200432
20 202032

About Lu Ding

Lu Ding is a scholar working on Molecular Biology, Virology, Cancer Research, Epidemiology and Immunology, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (17 papers), Cancer-related molecular mechanisms research (10 papers), Herpesvirus Infections and Treatments (6 papers), HIV/AIDS Research and Interventions (5 papers), Immune Cell Function and Interaction (5 papers), RNA modifications and cancer (5 papers), Circular RNAs in diseases (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Virology (581 citations), Immunology (438 citations), Cancer Research (260 citations), Infectious Diseases (299 citations) and Microbiology (76 citations). Lu Ding has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Christopher J. Miller, Michael B. McChesney, Tracy Rourke, Kristina Abel, Marta L. Marthas, Peter J. Dailey, J Torten, Kristen Bost, Linda Fritts and Fuling Zhou. Their work appears in journals such as Journal of Virology, Frontiers in Oncology, Frontiers in Pharmacology, AIDS Research and Human Retroviruses and The Journal of 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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