John P. Sumida

1.9k citations
18 papers · 1.5k indexed · 1 hit paper · h-index 12

John P. Sumida

18 papers receiving 1.5k citations

Hit Papers

Computational Design of Self-Assembling Protein Nanomater...5222012202620162021100200300400500

Peers

John P. Sumida
Comparison fields: 5 of 91
  • Physical and Theoretical Chemistry 208
  • Organic Chemistry 403
  • Materials Chemistry 621
  • Biomaterials 151
  • Molecular Biology 717
Replace Yuko Yoshikawa with:
Yuko Yoshikawa Japan
Eric Ennifar France
Javier Gómez Spain
Gautam Basu India
Pascal Didier France
Shigeru Kunugi Japan
Michel Desmadril France
Jean‐Claude Brochon France
Sarah M. Tschampel United States
Roberto Tejero Spain
John P. Sumida relative to Yuko Yoshikawa Japan Yuko Yoshikawa's profile →
Citations per field
00.5×3.0×
Yuko Yoshikawa · 1×
Citations per year

Countries citing papers authored by John P. Sumida

Since Specialization
Citations

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

Fields of papers citing papers by John P. Sumida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John P. Sumida. 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 John P. Sumida. The network helps show where John P. Sumida may publish in the future.

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 201641
2 201626
3 201542
4
Computational Design of Self-Assembling Protein Nanomaterials with Atomic Level Accuracybreakdown →
2012522
5 20121
6 2012122
7 20113
8 201145
9 201125
10 20104
11 200763
12 20017
13 20002
14 19999
15 199828
16 1997330
17
Solvent dependence of photoinduced electron transfer in porphyrin dyads
199616
18 1994214

About John P. Sumida

John P. Sumida is a scholar working on Physical and Theoretical Chemistry, Pharmacology, Endocrinology, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Porphyrin and Phthalocyanine Chemistry (5 papers), Photochemistry and Electron Transfer Studies (5 papers), Cardiomyopathy and Myosin Studies (4 papers), Muscle Physiology and Disorders (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Cardiovascular Effects of Exercise (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Physical and Theoretical Chemistry (208 citations), Organic Chemistry (403 citations), Materials Chemistry (621 citations), Biomaterials (151 citations) and Molecular Biology (717 citations). John P. Sumida has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include Ana L. Moore, Devens Gust, Thomas A. Moore, Paul A. Liddell, M.R. Sawaya, William Sheffler, Breanna S. Vollmar, Ingemar André, Todd O. Yeates and Tamir Gonen. Their work appears in journals such as Biophysical Journal, Science, Journal of Biological Chemistry, Biochemistry and Journal of Crystal Growth.

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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