James P. Robblee

809 citations
20 papers · 645 indexed · h-index 13

Impact in

Papers in

James P. Robblee

19 papers receiving 638 citations

Peers

James P. Robblee
Comparison fields: 5 of 77
  • Cell Biology 196
  • Cardiology and Cardiovascular Medicine 156
  • Molecular Biology 450
  • Parasitology 21
  • Physiology 13
Replace José A. Poveda with:
José A. Poveda Spain
Guillaume Lenoir France
Karl Bihlmaier Germany
Marc S. Sherman United States
Yasushi Nitanai Japan
Deborah B. Stone United States
Michelle E. McCully United States
Yadaiah Madasu India
Kirstin Model Germany
I. Fita Spain
James P. Robblee relative to José A. Poveda Spain José A. Poveda's profile →
Citations per field
00.5×2.8×
José A. Poveda · 1×
Citations per year

Countries citing papers authored by James P. Robblee

Since Specialization
Citations

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

Fields of papers citing papers by James P. Robblee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20236
2 20230
3 202118
4 202019
5 201939
6 20151
7 201231
8 201226
9 20111
10 20111
11 200574
12 200549
13 20059
14 200448
15 200223
16 200119
17 200112
18 20007
19 200092
20 2000170

About James P. Robblee

James P. Robblee is a scholar working on Molecular Biology, Virology, Spectroscopy, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 20 papers that have together received 645 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Cardiomyopathy and Myosin Studies (4 papers), Enzyme Structure and Function (4 papers), Trypanosoma species research and implications (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Estrogen and related hormone effects (3 papers), Malaria Research and Control (3 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Cell Biology (196 citations), Cardiology and Cardiovascular Medicine (156 citations), Molecular Biology (450 citations), Parasitology (21 citations) and Physiology (13 citations). James P. Robblee has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Robert Fairman, Enrique M. De La Cruz, Adrian O. Olivares, Daniel P. Raleigh, Wenxiang Cao, Frederick M. Hughson, Stefan A. Carp, Minghui Wang, Zachary S. Hendsch and Shari Spector. Their work appears in journals such as Biochemistry, Nature Communications, Proteins Structure Function and Bioinformatics, Journal of Biological Chemistry and Biophysical 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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