Junjie Ding

54 papers receiving 1.3k citations

Peers

Junjie Ding
Comparison fields: 5 of 132
  • Transplantation 174
  • Computational Theory and Mathematics 397
  • Pediatrics, Perinatology and Child Health 220
  • Pharmacology 88
  • Psychiatry and Mental health 148
Replace Hwi‐yeol Yun with:
Hwi‐yeol Yun South Korea
Hyunyoung Jeong United States
Rabindra Patnaik United States
Wolfgang Jacobsen United States
Shirley M. Tsunoda United States
K Rowland‐Yeo United Kingdom
Atul Kumar Singh India
William H. Barr United States
Jeremiah D. Momper United States
Su‐Jun Lee South Korea
Junjie Ding relative to Hwi‐yeol Yun South Korea Hwi‐yeol Yun's profile →
Citations per field
00.5×4.9×
Hwi‐yeol Yun · 1×
Citations per year

Countries citing papers authored by Junjie Ding

Since Specialization
Citations

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

Fields of papers citing papers by Junjie Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019177
2 2013108
3 202159
4 201457
5 200856
6 202053
7 202149
8 202248
9 202048
10 201947
11 201945
12 201940
13 201138
14 201636
15 201233
16 202031
17 202027
18 201926
19 202025
20 201722

About Junjie Ding

Junjie Ding is a scholar working on Computational Theory and Mathematics, Pediatrics, Perinatology and Child Health, Molecular Biology, Pharmacology and Psychiatry and Mental health, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Pharmacological Effects and Toxicity Studies (13 papers), Analytical Chemistry and Chromatography (6 papers), Epilepsy research and treatment (6 papers), Analytical Methods in Pharmaceuticals (5 papers), Pancreatitis Pathology and Treatment (4 papers), Machine Learning in Materials Science (4 papers) and Antibiotics Pharmacokinetics and Efficacy (4 papers). The work is most often cited by research in Transplantation (174 citations), Computational Theory and Mathematics (397 citations), Pediatrics, Perinatology and Child Health (220 citations), Pharmacology (88 citations) and Psychiatry and Mental health (148 citations). Junjie Ding has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Dongsheng Cao, Xiaoqin Ding, Tingjun Hou, Zheng Jiao, Chao Shen, Zhe Wang, Liangliang Wang, Aiping Lü, Qi Pei and Xinmiao Liang. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Clinical Pharmacology & Therapeutics, Journal of Chemical Information and Modeling, Epilepsy & Behavior and British Journal of Clinical Pharmacology.

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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