Robert V. Swift

910 citations
22 papers · 719 · h-index 15

Impact in

Papers in

Robert V. Swift

22 papers receiving 711 citations

Peers

Robert V. Swift
Comparison fields: 5 of 100
  • Computational Theory and Mathematics 141
  • Molecular Biology 549
  • Epidemiology 148
  • Spectroscopy 56
  • Pharmaceutical Science 19
Replace Osmar Norberto de Souza with:
Osmar Norberto de Souza Brazil
Arnaud Blondel France
D.M. Himmel United States
Micaela Fornabaio United States
Søren Berg Padkjær Denmark
Jianyin Shao United States
William E. Harte United States
Jennifer M. Chambers Australia
Rafael G. da Silva Brazil
Debbie C. Mulhearn United States
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Citations per field
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Citations per year

Countries citing papers authored by Robert V. Swift

Since Specialization
Citations

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

Fields of papers citing papers by Robert V. Swift

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert V. Swift. 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 Robert V. Swift. The network helps show where Robert V. Swift may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016177
2 2011118
3 201273
4 201060
5 201936
6 200930
7 201326
8 201420
9 200920
10 201620
11 201619
12 201118
13 201218
14 201116
15 200815
16 200714
17 200910
18 20149
19 20098
20 20128

About Robert V. Swift

Robert V. Swift is a scholar working on Molecular Biology, Computational Theory and Mathematics, Epidemiology, Materials Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 719 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (7 papers), RNA and protein synthesis mechanisms (6 papers), Enzyme Structure and Function (4 papers), Trypanosoma species research and implications (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Bioinformatics and Genomic Networks (3 papers) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Computational Theory and Mathematics (141 citations), Molecular Biology (549 citations), Epidemiology (148 citations), Spectroscopy (56 citations) and Pharmaceutical Science (19 citations). Robert V. Swift has collaborated with scholars based in United States, Hong Kong and Malaysia. Frequent co-authors include Rommie E. Amaro, J. Andrew McCammon, Lane Votapka, Wilfred W. Li, Ross C. Walker, R. Mitchell Bush, James C. Gumbart, Ànna Pavlova, Yi Wang and Nelson L. C. Leung. Their work appears in journals such as Biochemistry, Journal of Chemical Information and Modeling, PLoS neglected tropical diseases, Nature Communications and Journal of Computational 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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