Debin Wan

56 papers receiving 1.6k citations

Peers

Debin Wan
Comparison fields: 5 of 115
  • Biochemistry 364
  • Biological Psychiatry 28
  • Pharmacology 93
  • Pathology and Forensic Medicine 154
  • Molecular Biology 639
Replace Soumen K. Manna with:
Soumen K. Manna India
Venkataraman Amarnath United States
И. Б. Заводник Belarus
Dionicio Siegel United States
Chandradhar Dwivedi United States
Ross Shiman United States
Małgorzata Iciek Poland
Kazushige Yokota Japan
Soliman Khatib Israel
Sohei Ito Japan
Debin Wan relative to Soumen K. Manna India Soumen K. Manna's profile →
Citations per field
00.5×3.0×
Soumen K. Manna · 1×
Citations per year

Countries citing papers authored by Debin Wan

Since Specialization
Citations

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

Fields of papers citing papers by Debin Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020133
2 202091
3 201975
4 201866
5 202061
6 201953
7 201850
8 201646
9 202043
10 202042
11 201440
12 202240
13 201840
14 201239
15 201139
16 201637
17 201235
18 201935
19 202133
20 201933

About Debin Wan

Debin Wan is a scholar working on Biochemistry, Molecular Biology, Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism and Radiology, Nuclear Medicine and Imaging, having authored 58 papers that have together received 1.6k indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (28 papers), Alcohol Consumption and Health Effects (14 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Hormonal Regulation and Hypertension (7 papers), Analytical Chemistry and Chromatography (6 papers), Fatty Acid Research and Health (6 papers), Inflammatory mediators and NSAID effects (6 papers) and Mass Spectrometry Techniques and Applications (6 papers). The work is most often cited by research in Biochemistry (364 citations), Biological Psychiatry (28 citations), Pharmacology (93 citations), Pathology and Forensic Medicine (154 citations) and Molecular Biology (639 citations). Debin Wan has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Bruce D. Hammock, Jun Yang, Sung Hee Hwang, Christophe Morisseau, Zhenfeng Li, Hongmei Yang, Natalia Vasylieva, Shuying Liu, Bogdan Barnych and Karen Wagner. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Analytical Chemistry, Proceedings of the National Academy of Sciences, Scientific Reports and ACS Omega.

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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