James M. Ding

1.2k citations
27 papers · 813 · h-index 16

Impact in

    • Genetics and Neurodevelopmental Disorders
    • Genetic and Kidney Cyst Diseases
    • DNA Repair Mechanisms
    • Genomics and Chromatin Dynamics
    • CRISPR and Genetic Engineering
    • RNA and protein synthesis mechanisms
    • Epigenetics and DNA Methylation

Papers in

James M. Ding

26 papers receiving 799 citations

Peers

James M. Ding
Comparison fields: 5 of 98
  • Genetics 161
  • Molecular Biology 393
  • Cell Biology 80
  • Cancer Research 67
  • Emergency Medical Services 31
Replace Seema Thakur with:
Seema Thakur India
Kathleen M. Shields United States
Edward J. Richer United States
Ryoichi Hosokawa United States
Annick Roméas France
Sue J. Hong United States
Lætitia Gressin France
Lucinda Williams United States
Dmitri I. Dozortsev United States
Justin Engelbert United Kingdom
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Citations per field
00.5×1.5×2×2.3×
Seema Thakur · 1×
Citations per year

Countries citing papers authored by James M. Ding

Since Specialization
Citations

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

Fields of papers citing papers by James M. Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015182
2 2014145
3 201987
4 201540
5 201934
6 202230
7 202128
8 202028
9 200827
10 202423
11 201723
12 202022
13 202122
14 201721
15 201921
16 201919
17 201911
18 202010
19 20159
20 20148

About James M. Ding

James M. Ding is a scholar working on Immunology, Cancer Research, Molecular Biology, Genetics and Oncology, having authored 27 papers that have together received 813 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), T-cell and B-cell Immunology (3 papers), Cancer-related molecular mechanisms research (2 papers), Viral-associated cancers and disorders (2 papers), RNA modifications and cancer (2 papers), DNA Repair Mechanisms (2 papers), Opioid Use Disorder Treatment (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Genetics (161 citations), Molecular Biology (393 citations), Cell Biology (80 citations), Cancer Research (67 citations) and Emergency Medical Services (31 citations). James M. Ding has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Martin S. Taylor, Martin A.M. Reijns, Andrew P. Jackson, Daniel J. Lee, Thomas J. Guzzo, Harriet I. Kemp, Sophie Marion de Procé, Gisela Orozco, Paul Martin and Elliot Kale Edmiston. Their work appears in journals such as Urology, Annals of the Rheumatic Diseases, Infectious Disorders - Drug Targets, The Joint Commission Journal on Quality and Patient Safety and Nature Genetics.

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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