Jesse Chen

444 citations
25 papers · 320 · h-index 10

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • Ubiquitin and proteasome pathways
    • Protein Degradation and Inhibitors
    • Histone Deacetylase Inhibitors Research

Papers in

    • Ubiquitin and proteasome pathways 4
    • Protein Degradation and Inhibitors 2
    • Immune Cell Function and Interaction 2

Jesse Chen

25 papers receiving 312 citations

Peers

Jesse Chen
Comparison fields: 5 of 83
  • Infectious Diseases 50
  • Molecular Biology 173
  • Oncology 66
  • Epidemiology 67
  • Immunology 39
Replace Mirja Harms with:
Mirja Harms Germany
Shahrzad Ahangarzadeh Iran
Mandana Afsharpad Iran
Yanming Dong China
Alexander Honkala United States
Yoan Machado Canada
Zheng Wu China
Yanjun Feng China
Stephanie Anderson Switzerland
Victoria Yavelsky Israel
Jesse Chen relative to Mirja Harms Germany Mirja Harms's profile →
Citations per field
00.5×
Mirja Harms · 1×
Citations per year

Countries citing papers authored by Jesse Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jesse Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201185
2 201639
3 201934
4 201919
5 201119
6 202016
7 202114
8 202112
9 202110
10 20249
11 20238
12 20068
13 20137
14 20227
15 20236
16 20216
17
A real time 4×4 MIMO-OFDM SDR for wireless networking research
20074
18 20234
19 20194
20 20183

About Jesse Chen

Jesse Chen is a scholar working on Molecular Biology, Immunology, Epidemiology, Electrical and Electronic Engineering and Infectious Diseases, having authored 25 papers that have together received 320 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Ubiquitin and proteasome pathways (4 papers), SARS-CoV-2 detection and testing (3 papers), Advanced MIMO Systems Optimization (3 papers), Protein Degradation and Inhibitors (2 papers), Influenza Virus Research Studies (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Infectious Diseases (50 citations), Molecular Biology (173 citations), Oncology (66 citations), Epidemiology (67 citations) and Immunology (39 citations). Jesse Chen has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Thimo Kurz, Y. Thomas, Roland Hjerpe, Lawrence R. Dick, Natalia Shpiro, James R. Baker, Christine Loh, Yi Zhang, Nello Mainolfi and Su He Wang. Their work appears in journals such as Microbiology Spectrum, Vaccine, Frontiers in Immunology, Blood and Journal of Allergy and Clinical Immunology.

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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