Hong Ding

36 papers receiving 1.5k citations

Peers

Hong Ding
Comparison fields: 5 of 106
  • Biochemistry 172
  • Physiology 397
  • Clinical Biochemistry 91
  • Nephrology 90
  • Endocrinology, Diabetes and Metabolism 193
Replace Christoph Sauvant with:
Christoph Sauvant Germany
Ana Marta Pereira Portugal
Octavio Hernández‐Perera Spain
Kyriakos E. Kypreos Greece
Takeshi Ogihara Japan
Xianghai Liao United States
Kazuhiro Sonoda Japan
Hongmei Ren China
Xia Shen China
A.J. Lusis United States
Hong Ding relative to Christoph Sauvant Germany Christoph Sauvant's profile →
Citations per field
00.5×3.5×
Christoph Sauvant · 1×
Citations per year

Countries citing papers authored by Hong Ding

Since Specialization
Citations

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

Fields of papers citing papers by Hong Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011302
2 2011204
3 1999114
4 200593
5 201893
6 200591
7 200785
8 200766
9 200946
10 200645
11 201041
12 202038
13 200937
14 200427
15 200525
16 200521
17 200019
18 201119
19 200717
20 201117

About Hong Ding

Hong Ding is a scholar working on Physiology, Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine and Plant Science, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (11 papers), Chronic Kidney Disease and Diabetes (5 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Plant Stress Responses and Tolerance (4 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers), Advanced Glycation End Products research (4 papers), Eicosanoids and Hypertension Pharmacology (4 papers) and Plant Micronutrient Interactions and Effects (3 papers). The work is most often cited by research in Biochemistry (172 citations), Physiology (397 citations), Clinical Biochemistry (91 citations), Nephrology (90 citations) and Endocrinology, Diabetes and Metabolism (193 citations). Hong Ding has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Chris R. Triggle, Wenxue Li, Fusuo Zhang, Jian‐Kang Zhu, Meng Zhao, Mohamad Aljofan, Fina Lovren, Fan Fan Hou, Yingjian Li and Michaël Kahn. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, European Journal of Pharmacology, British Journal of Pharmacology, Journal of Cellular Physiology and Journal of Plant Physiology.

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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