Robert G. Stafford

25 total papers · 1.0k total citations
24 papers, 841 citations indexed

About

Robert G. Stafford is a scholar working on Neurology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Robert G. Stafford has authored 24 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Neurology, 10 papers in Molecular Biology and 4 papers in Infectious Diseases. Recurrent topics in Robert G. Stafford's work include Botulinum Toxin and Related Neurological Disorders (14 papers), Biochemical and Structural Characterization (9 papers) and Advancements in Transdermal Drug Delivery (4 papers). Robert G. Stafford is often cited by papers focused on Botulinum Toxin and Related Neurological Disorders (14 papers), Biochemical and Structural Characterization (9 papers) and Advancements in Transdermal Drug Delivery (4 papers). Robert G. Stafford collaborates with scholars based in United States. Robert G. Stafford's co-authors include James J. Schmidt, Charles B. Millard, Karen A. Bostian, Barbara W. Kemppainen, Harry B. Hines, James C. Burnett, Rick Gussio, Sina Bavari, Rekha G. Panchal and Rakhi Agarwal and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Robert G. Stafford

24 papers receiving 814 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Robert G. Stafford 596 335 246 80 68 24 841
Jonathan E. Nuss 214 0.4× 404 1.2× 128 0.5× 55 0.7× 118 1.7× 32 855
Michael C. Goodnough 683 1.1× 195 0.6× 404 1.6× 29 0.4× 95 1.4× 17 836
Mark A. Breidenbach 372 0.6× 330 1.0× 183 0.7× 50 0.6× 100 1.5× 11 738
Nir Dover 254 0.4× 375 1.1× 155 0.6× 23 0.3× 20 0.3× 17 822
Rebeca Tarrab‐Hazdai 294 0.5× 219 0.7× 69 0.3× 53 0.7× 29 0.4× 32 733
Masanori Asai 47 0.1× 272 0.8× 31 0.1× 38 0.5× 22 0.3× 44 962
Jakub Baudys 422 0.7× 277 0.8× 303 1.2× 150 1.9× 17 0.3× 33 911
Eiji Uchida 42 0.1× 627 1.9× 175 0.7× 53 0.7× 31 0.5× 31 961
Torsten Helting 286 0.5× 581 1.7× 103 0.4× 29 0.4× 283 4.2× 27 933
David L. Beaver 76 0.1× 295 0.9× 64 0.3× 52 0.7× 92 1.4× 20 797

Countries citing papers authored by Robert G. Stafford

Since Specialization
Citations

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

Fields of papers citing papers by Robert G. Stafford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert G. Stafford

This figure shows the co-authorship network connecting the top 25 collaborators of Robert G. Stafford. A scholar is included among the top collaborators of Robert G. Stafford based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert G. Stafford. Robert G. Stafford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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