Zefeng Tan

556 citations
23 papers · 262 · h-index 10

Impact in

    • Neuroinflammation and Neurodegeneration Mechanisms
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Zefeng Tan

19 papers receiving 258 citations

Peers

Zefeng Tan
Comparison fields: 5 of 74
  • Neurology 46
  • Cancer Research 72
  • Internal Medicine 13
  • Rehabilitation 19
  • Neurology 39
Replace Tapuwa Musuka with:
Tapuwa Musuka Australia
Twinkle Joy Canada
Igor Rybinnik United States
Wenhao Zhu China
Felipe A. Montellano Germany
Alejandro Quílez Spain
Danhong Wu China
Roland Backhaus Germany
Yulan Zhu China
Zefeng Tan relative to Tapuwa Musuka Australia Tapuwa Musuka's profile →
Citations per field
00.5×4.2×
Tapuwa Musuka · 1×
Citations per year

Countries citing papers authored by Zefeng Tan

Since Specialization
Citations

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

Fields of papers citing papers by Zefeng Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202284
2 202042
3 202318
4 201517
5 202116
6 201716
7
Lateralized cortical perfusion in women with Alzheimer's disease.
200112
8 201811
9 202210
10 202310
11 20176
12 20214
13 20244
14 20214
15 20233
16 20252
17 20241
18 20231
19 20201
20 20230

About Zefeng Tan

Zefeng Tan is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Molecular Biology, Neurology and Cancer Research, having authored 23 papers that have together received 262 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (11 papers), Cerebrovascular and Carotid Artery Diseases (8 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers), Extracellular vesicles in disease (3 papers), MicroRNA in disease regulation (2 papers), RNA Research and Splicing (2 papers), Circular RNAs in diseases (2 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Neurology (46 citations), Cancer Research (72 citations), Internal Medicine (13 citations), Rehabilitation (19 citations) and Neurology (39 citations). Zefeng Tan has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Yousheng Wu, Jiankun Zang, Wanyong Yang, Dan Lu, Tao Zhang, Yaojie Li, Yusheng Zhang, Yanfang Liu, Hao Li and Shiyong Wang. Their work appears in journals such as Stroke and Vascular Neurology, Frontiers in Neurology, Circulation Research, Journal of the American Heart Association and Bioactive Materials.

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.

Explore authors with similar magnitude of impact