Denian Wang

502 citations
30 papers · 345 · h-index 10

Impact in

Papers in

Denian Wang

28 papers receiving 343 citations

Peers

Denian Wang
Comparison fields: 5 of 70
  • Biochemistry 52
  • Cellular and Molecular Neuroscience 70
  • Biological Psychiatry 9
  • Cancer Research 48
  • Immunology 60
Replace Maria M. Shchepinova with:
Maria M. Shchepinova United Kingdom
Jingru Qian Singapore
Maurice Israël France
Md Nabiul Hasan United States
King Faisal Yambire Germany
Lyndsay E.A. Young United States
Sandra R. Mirandola Brazil
Jorgelindo da Veiga Moreira France
Andrea Sorrentino United States
Karolina Dzwonek Poland
Denian Wang relative to Maria M. Shchepinova United Kingdom Maria M. Shchepinova's profile →
Citations per field
00.5×2.9×
Maria M. Shchepinova · 1×
Citations per year

Countries citing papers authored by Denian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Denian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201849
2 202044
3 202241
4 201730
5 202323
6 202323
7 202313
8 202112
9 202411
10 201811
11 20219
12 20249
13 20228
14 20207
15 20157
16 20246
17 20176
18 20206
19 20235
20 20225

About Denian Wang

Denian Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Immunology and Cancer Research, having authored 30 papers that have together received 345 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (7 papers), Angiogenesis and VEGF in Cancer (5 papers), Receptor Mechanisms and Signaling (4 papers), Chemokine receptors and signaling (3 papers), Signaling Pathways in Disease (2 papers), COVID-19 diagnosis using AI (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Biochemistry (52 citations), Cellular and Molecular Neuroscience (70 citations), Biological Psychiatry (9 citations), Cancer Research (48 citations) and Immunology (60 citations). Denian Wang has collaborated with scholars based in China. Frequent co-authors include Zixuan Zhan, Yonggang Wei, Yong-Cheng Dai, Yi Lv, Weimin Li, Wei Zhang, Hongyu Li, Li Chai, Fei Xiao and Zeliang Wei. Their work appears in journals such as Scientific Reports, Sensors and Actuators B Chemical, Analytical Chemistry, Biochemical and Biophysical Research Communications and Molecular Cancer Therapeutics.

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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