Dian Ding

1.1k citations
22 papers · 675 · h-index 12

Impact in

Papers in

Dian Ding

22 papers receiving 671 citations

Peers

Dian Ding
Comparison fields: 5 of 81
  • Pathology and Forensic Medicine 173
  • Developmental Neuroscience 27
  • Astronomy and Astrophysics 103
  • Molecular Biology 416
  • Endocrinology, Diabetes and Metabolism 49
Replace Richard L. McCarl with:
Richard L. McCarl United States
Hiroyuki Hotta Japan
Michael C. Puljung United States
Yuki Hashimoto Japan
Andriy M. Babsky United States
Mirco Dindo Italy
Zhu-Yao Wang China
Kazuko Akashi Japan
Hendrik Andres Switzerland
Maria W. Seraydarian United States
Dian Ding relative to Richard L. McCarl United States Richard L. McCarl's profile →
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Richard L. McCarl · 1×
Citations per year

Countries citing papers authored by Dian Ding

Since Specialization
Citations

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

Fields of papers citing papers by Dian Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017197
2 201884
3 201971
4 202162
5 202041
6 202237
7 202124
8 202223
9 202122
10 201919
11 202313
12 202212
13 202312
14 202312
15 202310
16 20248
17 20237
18 20246
19 20246
20 20224

About Dian Ding

Dian Ding is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Astronomy and Astrophysics, Genetics and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 675 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), Cardiac Ischemia and Reperfusion (8 papers), Ion channel regulation and function (7 papers), DNA and Nucleic Acid Chemistry (6 papers), Origins and Evolution of Life (6 papers), Bacterial Genetics and Biotechnology (5 papers), Photosynthetic Processes and Mechanisms (2 papers) and Fuel Cells and Related Materials (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (173 citations), Developmental Neuroscience (27 citations), Astronomy and Astrophysics (103 citations), Molecular Biology (416 citations) and Endocrinology, Diabetes and Metabolism (49 citations). Dian Ding has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include Lei Chen, Jing-Xiang Wu, Jack W. Szostak, Mengmeng Wang, Jiaxuan Cheng, Ning Gao, Ningning Li, Yunlu Kang, Lijun Zhou and Stephanie J. Zhang. Their work appears in journals such as Nucleic Acids Research, Nature Communications, Journal of the American Chemical Society, RNA and Organic Letters.

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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