Dan Wei

1.6k citations
53 papers · 1.2k · h-index 21

Impact in

Papers in

    • Ubiquitin and proteasome pathways 3
    • Peroxisome Proliferator-Activated Receptors 2
    • Cancer-related Molecular Pathways 3

Dan Wei

52 papers receiving 1.2k citations

Peers

Dan Wei
Comparison fields: 5 of 101
  • Geriatrics and Gerontology 67
  • Obstetrics and Gynecology 74
  • Molecular Biology 541
  • Endocrinology, Diabetes and Metabolism 102
  • Complementary and alternative medicine 51
Replace Bao Zhu with:
Bao Zhu United States
Rebecca S. Keller United States
Adrian Manea Romania
Chang-Ping Hu China
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Hong Xin China
Na Yang China
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Citations per field
00.5×3.4×
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Citations per year

Countries citing papers authored by Dan Wei

Since Specialization
Citations

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

Fields of papers citing papers by Dan Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011123
2 202088
3 202075
4 201266
5 201456
6 201855
7 201752
8 201248
9 201046
10 202145
11 202040
12 202233
13 201333
14 201932
15 201630
16 202026
17 200725
18 200724
19 202123
20 202023

About Dan Wei

Dan Wei is a scholar working on Molecular Biology, Oncology, Surgery, Complementary and alternative medicine and Physiology, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (5 papers), Ubiquitin and proteasome pathways (3 papers), Cancer-related Molecular Pathways (3 papers), MicroRNA in disease regulation (3 papers), Microtubule and mitosis dynamics (2 papers), Adipose Tissue and Metabolism (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Geriatrics and Gerontology (67 citations), Obstetrics and Gynecology (74 citations), Molecular Biology (541 citations), Endocrinology, Diabetes and Metabolism (102 citations) and Complementary and alternative medicine (51 citations). Dan Wei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Mary R. Loeken, Rongya Tao, X. Charlie Dong, Zhipeng Xu, Hanlin Gao, Ronald A. DePinho, Yunlong Liu, Wei Zhang, Tingting Wang and Lin Liao. Their work appears in journals such as Medicine, International Orthopaedics, Cellular Physiology and Biochemistry, Evidence-based Complementary and Alternative Medicine and Biological Trace Element Research.

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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