Xinxin Ding

471 total citations
18 papers, 373 citations indexed

About

Xinxin Ding is a scholar working on Pharmacology, Molecular Biology and Genetics. According to data from OpenAlex, Xinxin Ding has authored 18 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pharmacology, 3 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Xinxin Ding's work include Pharmacogenetics and Drug Metabolism (6 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Bone Tissue Engineering Materials (2 papers). Xinxin Ding is often cited by papers focused on Pharmacogenetics and Drug Metabolism (6 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Bone Tissue Engineering Materials (2 papers). Xinxin Ding collaborates with scholars based in United States, China and Poland. Xinxin Ding's co-authors include Laurence S. Kaminsky, M J Coon, Lei Li, Junyu Shi, Xiaomeng Zhang, Jun Gu, Bin Shen, Dale M. Walker, Vernon E. Walker and Xin Guan and has published in prestigious journals such as Annals of the New York Academy of Sciences, Acta Biomaterialia and Archives of Biochemistry and Biophysics.

In The Last Decade

Xinxin Ding

18 papers receiving 366 citations

Peers

Xinxin Ding
Comparison fields: 5 of 98
  • Pharmacology 117
  • Molecular Biology 106
  • Oncology 56
  • Physiology 46
  • Cancer Research 37
Replace Lata Kaphalia with:
Lata Kaphalia United States
Alexandra Rogue France
Dany Chevalier France
Motoyuki Yoshida Japan
Hui Bi China
Qinwei Yu China
Seham A. Abdel-Gaber Egypt
Sara Mohamed Naguib Abdel Hafez Egypt
Lucy Fraiser United States
Midhun C. Korrapati United States
Lata Kaphalia United States View profile →
Citations per field, relative to Xinxin Ding
Xinxin Ding · 1×
Citations per year, relative to Xinxin Ding
Xinxin Ding · 1×

Countries citing papers authored by Xinxin Ding

Since Specialization
Citations

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

Fields of papers citing papers by Xinxin Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinxin Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Xinxin Ding. A scholar is included among the top collaborators of Xinxin Ding based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xinxin Ding. Xinxin Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 16
2 12
3 7
4 12
5 46
6 15
7 1
8 12
9 42
10 17
11 28
12 36
13 19
14 38
15 1
16 36
17 16
18 19

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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2026