Calvin Chen

1.8k citations
9 papers · 259 · h-index 4

Impact in

    • Protein Structure and Dynamics
    • vaccines and immunoinformatics approaches
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

Calvin Chen

8 papers receiving 257 citations

Peers

Calvin Chen
Comparison fields: 5 of 75
  • Molecular Biology 190
  • Immunology 52
  • Spectroscopy 25
  • Materials Chemistry 68
  • Biotechnology 12
Replace Ursula Kahler with:
Ursula Kahler Austria
Samantha S. Stadmiller United States
Giacomo Mori Italy
Stephen P. Edgcomb United States
Ravindra Singh Prajapati United Kingdom
Lichun He China
Martin Kulke Germany
Agnieszka Karczyńska Poland
Daniela Bonetti Italy
Tara L. Kirby United States
Calvin Chen relative to Ursula Kahler Austria Ursula Kahler's profile →
Citations per field
00.5×1.5×2.4×
Ursula Kahler · 1×
Citations per year

Countries citing papers authored by Calvin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Calvin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Calvin 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 Calvin Chen Line = papers co-authored together Calvin Chen links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201589
2 201782
3 202169
4 201711
5 20043
6 20222
7 20222
8
Made in Italy (by the Chinese): economic restructuring and the politics of migration
20111
9 20180

About Calvin Chen

Calvin Chen is a scholar working on Molecular Biology, Materials Chemistry, Automotive Engineering, Pharmacology and Pathology and Forensic Medicine, having authored 9 papers that have together received 259 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Enzyme Structure and Function (3 papers), Spine and Intervertebral Disc Pathology (1 paper), Musculoskeletal pain and rehabilitation (1 paper), Lipid Membrane Structure and Behavior (1 paper), Globalization and Cultural Identity (1 paper), Botulinum Toxin and Related Neurological Disorders (1 paper) and Migration, Ethnicity, and Economy (1 paper). The work is most often cited by research in Molecular Biology (190 citations), Immunology (52 citations), Spectroscopy (25 citations), Materials Chemistry (68 citations) and Biotechnology (12 citations). Calvin Chen has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include George I. Makhatadze, Gavin Thurston, Myles Dillon, Ankur Dhanik, Wen Zhang, Lynn E. Macdonald, Gurinder S. Atwal, Raquel P. Deering, Namita T. Gupta and Luis A. Marky. Their work appears in journals such as Nature Communications, BMC Bioinformatics, PM&R, Science Advances and Journal of Environmental Psychology.

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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