Steven Chen

86 papers receiving 2.7k citations

Peers

Steven Chen
Comparison fields: 5 of 192
  • Parasitology 204
  • Public Health, Environmental and Occupational Health 532
  • Geriatrics and Gerontology 61
  • Epidemiology 531
  • Cell Biology 197
Replace Tae Il Kim with:
Tae Il Kim South Korea
Qin Li China
Mandar Deshpande India
Harsha Gowda India
Andrew R. Jones United Kingdom
Hong Li China
Emily D. Crawford United States
Andrew Keller United States
Yanyu Xiao China
Steven Chen relative to Tae Il Kim South Korea Tae Il Kim's profile →
Citations per field
00.5×2×2.7×
Tae Il Kim · 1×
Citations per year

Countries citing papers authored by Steven Chen

Since Specialization
Citations

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

Fields of papers citing papers by Steven Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012270
2 2008247
3 2011242
4 2011182
5 2016163
6 201596
7
The Game of Life
200793
8 201092
9 201588
10 200286
11 201580
12 199073
13 201260
14 200158
15 200354
16 199150
17 201046
18 201243
19 201640
20 202037

About Steven Chen

Steven Chen is a scholar working on Geriatrics and Gerontology, Public Health, Environmental and Occupational Health, Cell Biology, Epidemiology and Electrical and Electronic Engineering, having authored 94 papers that have together received 2.7k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (9 papers), Research on Leishmaniasis Studies (7 papers), Pharmaceutical Practices and Patient Outcomes (7 papers), Advanced MEMS and NEMS Technologies (6 papers), Zebrafish Biomedical Research Applications (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Ionosphere and magnetosphere dynamics (3 papers) and Parasites and Host Interactions (3 papers). The work is most often cited by research in Parasitology (204 citations), Public Health, Environmental and Occupational Health (532 citations), Geriatrics and Gerontology (61 citations), Epidemiology (531 citations) and Cell Biology (197 citations). Steven Chen has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Michelle R. Arkin, James Hobson McKerrow, Yechun Wang, Oliver S. Yu, Kenny K. H. Ang, Juan Carlos Engel, Géraldine De Muylder, Shamila S. Gunatilleke, Adam R. Renslo and John H. Conway. Their work appears in journals such as PLoS neglected tropical diseases, Journal of the American Academy of Dermatology, PLoS ONE, American Journal of Roentgenology and Sensors and Actuators A Physical.

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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