Alex F. Chen

169 papers receiving 7.4k citations

Alex F. Chen's Hit Papers

ChemDes: an integrated web-based platform for molecular descriptor and fingerprint computation 2015 · 311 citations
3110+3+7Years since publication100200300

Peers

Alex F. Chen
Comparison fields: 5 of 156
  • Rehabilitation 621
  • Cancer Research 1.0k
  • Biochemistry 418
  • Physiology 1.4k
  • Molecular Biology 3.2k
Replace Makoto Makishima with:
Makoto Makishima Japan
Pei Wang China
Ping Li China
Péter Ferdinandy Hungary
Xiao Yu Tian China
Joohun Ha South Korea
Jian‐Mei Li China
Neven Žarković Croatia
Diane E. Handy United States
Suowen Xu China
Alex F. Chen relative to Makoto Makishima Japan Makoto Makishima's profile →
Citations per field
00.5×2.7×
Makoto Makishima · 1×
Citations per year

Countries citing papers authored by Alex F. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Alex F. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alex F. Chen. 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 Alex F. Chen. The network helps show where Alex F. Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 174 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009355
2 2005324
3
ChemDes: an integrated web-based platform for molecular descriptor and fingerprint computation
Hit paper breakdown →
2015311
4 2010284
5 2011283
6 2003275
7 2004196
8 2010190
9 2004161
10 2010157
11 2020146
12 2013127
13 2012125
14 2014120
15 2018119
16 2014117
17 2003114
18 2007114
19 2006109
20 200887

About Alex F. Chen

Alex F. Chen is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Immunology and Endocrinology, Diabetes and Metabolism, having authored 174 papers that have together received 7.5k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (37 papers), Angiogenesis and VEGF in Cancer (15 papers), Renin-Angiotensin System Studies (13 papers), Hormonal Regulation and Hypertension (13 papers), Computational Drug Discovery Methods (12 papers), Wound Healing and Treatments (11 papers), Cancer-related molecular mechanisms research (11 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (9 papers). The work is most often cited by research in Rehabilitation (621 citations), Cancer Research (1.0k citations), Biochemistry (418 citations), Physiology (1.4k citations) and Molecular Biology (3.2k citations). Alex F. Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jiandong Luo, Dongsheng Cao, Gregory D. Fink, Jian Li, Ting Zhao, Lu Tie, Jie Dong, Jie‐Mei Wang, James J. Galligan and Lixin Li. Their work appears in journals such as Circulation, American Journal of Physiology-Endocrinology and Metabolism, Hypertension, American Journal of Physiology-Heart and Circulatory Physiology and Clinical and Experimental Pharmacology and Physiology.

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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