Dawei Ye

5.8k citations
72 papers · 3.8k indexed · 4 hit papers · h-index 34

Impact in

Papers in

Dawei Ye

72 papers receiving 3.8k citations

Hit Papers

Histone lactylation-driven B7-H3 expression promotes tumor immune evasion 2025 · 26 citations
262016202620192022250500750

Peers

Dawei Ye
Comparison fields: 5 of 163
  • Infectious Diseases 748
  • Physiology 920
  • Pharmacology 293
  • Neurology 387
  • Modeling and Simulation 99
Replace Zhengyuan Xia with:
Zhengyuan Xia China
Weiqing Wang China
Louise M. Burrell Australia
Carmine Vecchione Italy
Elyse M. Cornett United States
Shaoqing Lei China
Andreas L. Birkenfeld Germany
Ranganath Muniyappa United States
Zhongyuan Xia China
Francesco Cipollone Italy
Dawei Ye relative to Zhengyuan Xia China Zhengyuan Xia's profile →
Citations per field
00.5×1.5×2.4×
Zhengyuan Xia · 1×
Citations per year

Countries citing papers authored by Dawei Ye

Since Specialization
Citations

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

Fields of papers citing papers by Dawei Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Review of the 2019 novel coronavirus (SARS-CoV-2) based on current evidence
Hit paper breakdown →
2020801
2
Interleukin-6: an emerging regulator of pathological pain
Hit paper breakdown →
2016317
3 2017257
4 2020219
5 202097
6 202294
7 201891
8 202083
9 201781
10 201677
11 201776
12 201973
13 202073
14 202268
15 202161
16 201861
17 201959
18 202358
19 202153
20 202350

About Dawei Ye

Dawei Ye is a scholar working on Physiology, Pharmacology, Biological Psychiatry, Neurology and Toxicology, having authored 72 papers that have together received 3.8k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (22 papers), COVID-19 Clinical Research Studies (8 papers), Pharmacological Effects of Natural Compounds (7 papers), Cancer Treatment and Pharmacology (6 papers), Long-Term Effects of COVID-19 (6 papers), Neuropeptides and Animal Physiology (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Bone health and osteoporosis research (3 papers). The work is most often cited by research in Infectious Diseases (748 citations), Physiology (920 citations), Pharmacology (293 citations), Neurology (387 citations) and Modeling and Simulation (99 citations). Dawei Ye has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ya‐Qun Zhou, Qingquan Liu, Yiru Wang, Lisheng Wang, Yuke Tian, Shuping Chen, Jia Sun, Dai-Qiang Liu, Ken Ling and Tao Wang. Their work appears in journals such as Biomedicine & Pharmacotherapy, Oncotarget, Pharmacological Research, International Journal of Antimicrobial Agents and Frontiers in Public Health.

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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