Jonathan J. Chen

22 papers receiving 626 citations

Peers

Jonathan J. Chen
Comparison fields: 5 of 97
  • Cancer Research 85
  • Biophysics 30
  • Biomedical Engineering 225
  • Molecular Biology 301
  • Oncology 108
Replace Elisa D’Arcangelo with:
Elisa D’Arcangelo Canada
Brian R. Stoll United States
Herlen Alencar United States
Azemat Jamshidi‐Parsian United States
Nathan A. Koonce United States
Pahini Pandya United Kingdom
Sarah Jane Lunt United Kingdom
Myrofora Panagi Cyprus
Inês Godet United States
Virginie Dangles-Marie France
Jonathan J. Chen relative to Elisa D’Arcangelo Canada Elisa D’Arcangelo's profile →
Citations per field
00.5×10.7×
Elisa D’Arcangelo · 1×
Citations per year

Countries citing papers authored by Jonathan J. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan J. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan J. 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 Jonathan J. Chen Line = papers co-authored together Jonathan J. Chen 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 2013139
2 2017131
3 201768
4 201449
5 201548
6 201943
7 201628
8 201724
9 202022
10 201817
11 201515
12 201312
13 20239
14 20117
15 20214
16 20233
17 20182
18 20222
19 20222
20 20162

About Jonathan J. Chen

Jonathan J. Chen is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Computational Theory and Mathematics and Genetics, having authored 23 papers that have together received 631 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Computational Drug Discovery Methods (4 papers), Bladder and Urothelial Cancer Treatments (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Microfluidic and Bio-sensing Technologies (2 papers), Immune cells in cancer (2 papers), Cell Image Analysis Techniques (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Cancer Research (85 citations), Biophysics (30 citations), Biomedical Engineering (225 citations), Molecular Biology (301 citations) and Oncology (108 citations). Jonathan J. Chen has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Rong Fan, Donald P. Visco, Lorenzo Galluzzi, Minsuk Kwak, Denis Wirtz, Pei-Hsun Wu, Yao Lu, Luye Mu, Zhuo Chen and Yu Wu. Their work appears in journals such as Journal of Clinical Oncology, Frontiers in Oncology, Nature Communications, Advances in Radiation Oncology and Analytical Chemistry.

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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