Lu Ding

2.2k citations
56 papers · 1.9k · h-index 25

Impact in

  • Virology top 1%
    • HIV Research and Treatment
    • Cancer, Lipids, and Metabolism
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • HIV Research and Treatment 16
    • Multiple Myeloma Research and Treatments 3
    • Acute Myeloid Leukemia Research 2

Lu Ding

55 papers receiving 1.8k citations

Peers

Lu Ding
Comparison fields: 5 of 99
  • Virology 633
  • Cancer Research 232
  • Immunology 150
  • Drug Discovery 2
  • Pharmaceutical Science 43
Replace Xin Tan with:
Xin Tan China
Subhash Dhawan United States
Maria G. Isaguliants Russia
Bo Peng China
John E. Sagartz United States
Weihua Li China
David Marchant Canada
John Stambas Australia
Masashi Fukasawa Japan
Eng‐Shang Huang United States
Lu Ding relative to Xin Tan China Xin Tan's profile →
Citations per field
00.5×1.5×2×2.4×
Xin Tan · 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 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020138
2 2002119
3 1998117
4 2020114
5 200397
6 200185
7 200180
8 199878
9 201477
10 200159
11 201658
12 199855
13 202055
14 200452
15 202051
16 200850
17 201848
18 200839
19 202035
20 201934

About Lu Ding

Lu Ding is a scholar working on Virology, Hematology, Cancer Research, Molecular Biology and Hepatology, having authored 56 papers that have together received 1.9k indexed citations. Recurring topics across this work include HIV Research and Treatment (16 papers), Cancer-related molecular mechanisms research (5 papers), Multiple Myeloma Research and Treatments (3 papers), Acute Myeloid Leukemia Research (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), TGF-β signaling in diseases (2 papers), MicroRNA in disease regulation (2 papers) and Selenium in Biological Systems (2 papers). The work is most often cited by research in Virology (633 citations), Cancer Research (232 citations), Immunology (150 citations), Drug Discovery (2 citations) and Pharmaceutical Science (43 citations). Lu Ding has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Christopher J. Miller, Michael B. McChesney, Tracy Rourke, Kristina Abel, Marta L. Marthas, Peter J. Dailey, JUDITH TORTEN, Kristen Bost, Fuling Zhou and Linda Fritts. Their work appears in journals such as Journal of Virology, Frontiers in Pharmacology, Frontiers in Oncology, 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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