John P. Sumida

2.0k citations
19 papers · 1.7k · 1 hit paper · h-index 13

Impact in

Papers in

John P. Sumida

19 papers receiving 1.6k citations

John P. Sumida's Hit Papers

Computational Design of Self-Assembling Protein Nanomaterials with Atomic Level Accuracy 2012 · 567 citations
5670+4+9Years since publication100200300400500

Peers

John P. Sumida
Comparison fields: 5 of 101
  • Physical and Theoretical Chemistry 216
  • Organic Chemistry 418
  • Materials Chemistry 659
  • Biomaterials 164
  • Molecular Biology 812
Replace Gautam Basu with:
Gautam Basu India
Eric Ennifar France
Cheng‐Yen Huang United States
Ignacio Faustino Spain
Pascal Didier France
Roberto Tejero Spain
Nectarios Klonis Australia
Jean‐Claude Brochon France
Hays S. Rye United States
Hannes Neuweiler Germany
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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-authors

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

19 of 19 papers shown
#Work
1
Computational Design of Self-Assembling Protein Nanomaterials with Atomic Level Accuracy
Hit paper breakdown →
2012567
2 1997342
3 1994225
4 2012133
5 201579
6 200765
7 201548
8 201147
9 201644
10 201631
11 201128
12 199828
13
Solvent dependence of photoinduced electron transfer in porphyrin dyads
199616
14 19999
15 20018
16 20104
17 20113
18 20002
19 20121

About John P. Sumida

John P. Sumida is a scholar working on Physical and Theoretical Chemistry, Molecular Biology, Cardiology and Cardiovascular Medicine, Materials Chemistry and Pharmacology, having authored 19 papers that have together received 1.7k 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), Cardiovascular Effects of Exercise (2 papers), Protein purification and stability (2 papers), Muscle Physiology and Disorders (2 papers), Enzyme Structure and Function (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Physical and Theoretical Chemistry (216 citations), Organic Chemistry (418 citations), Materials Chemistry (659 citations), Biomaterials (164 citations) and Molecular Biology (812 citations). John P. Sumida has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include Thomas A. Moore, Devens Gust, Ana L. Moore, Paul A. Liddell, William Sheffler, Tamir Gonen, Todd O. Yeates, David Baker, Breanna S. Vollmar and Michael R. Sawaya. Their work appears in journals such as Biophysical Journal, Biochemistry, Journal of Biological Chemistry, Science and PLoS ONE.

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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