Qingming Ding

1.5k citations
30 papers · 1.3k · h-index 17

Impact in

Papers in

Qingming Ding

30 papers receiving 1.3k citations

Peers

Qingming Ding
Comparison fields: 5 of 92
  • Endocrinology, Diabetes and Metabolism 489
  • Genetics 356
  • Behavioral Neuroscience 41
  • Cancer Research 136
  • Molecular Biology 602
Replace Koji Hisamoto with:
Koji Hisamoto Japan
Junji Fujikura Japan
Qinghua Wang China
Jacques Pairault France
Marine Adlanmérini France
Martine Géhin Switzerland
C. T. Graeber United States
Helén L. Dichek United States
Yuki Kanda Japan
Teiji Takeda Japan
Qingming Ding relative to Koji Hisamoto Japan Koji Hisamoto's profile →
Citations per field
00.5×5.1×
Koji Hisamoto · 1×
Citations per year

Countries citing papers authored by Qingming Ding

Since Specialization
Citations

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

Fields of papers citing papers by Qingming Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011206
2 2011181
3 2013149
4 2009100
5 200180
6 200963
7 200454
8 200654
9 200150
10 200650
11
Downregulation of mitogen-activated protein kinases in human colon cancers.
200050
12 201443
13 201440
14 201634
15 201129
16 201621
17 199819
18 202214
19 200411
20 200710

About Qingming Ding

Qingming Ding is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Surgery and Oncology, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (10 papers), Estrogen and related hormone effects (10 papers), Receptor Mechanisms and Signaling (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers), Phosphodiesterase function and regulation (2 papers), Cancer-related Molecular Pathways (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (489 citations), Genetics (356 citations), Behavioral Neuroscience (41 citations), Cancer Research (136 citations) and Molecular Biology (602 citations). Qingming Ding has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Ross D. Feldman, Robert Gros, Jozef Chorazyczewski, Lee E. Limbird, Bonan Liu, J. Geoffrey Pickering, Jeffrey B. Arterburn, Larry A. Sklar, Yuexiu Wu and Biao Feng. Their work appears in journals such as American Journal of Physiology-Cell Physiology, Molecular Pharmacology, The FASEB Journal, Hypertension and Arteriosclerosis Thrombosis and Vascular Biology.

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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