G A Rufo

12 total papers · 903 total citations
10 papers, 731 citations indexed

About

G A Rufo is a scholar working on Biotechnology, Oncology and Reproductive Medicine. According to data from OpenAlex, G A Rufo has authored 10 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biotechnology, 4 papers in Oncology and 3 papers in Reproductive Medicine. Recurrent topics in G A Rufo's work include Enzyme Production and Characterization (5 papers), Peptidase Inhibition and Analysis (4 papers) and Sperm and Testicular Function (3 papers). G A Rufo is often cited by papers focused on Enzyme Production and Characterization (5 papers), Peptidase Inhibition and Analysis (4 papers) and Sperm and Testicular Function (3 papers). G A Rufo collaborates with scholars based in United States. G A Rufo's co-authors include H A Lardy, Donner F. Babcock, Janice Pero, Alan Sloma, Kelly Theriault, Patrick K. Schoff, Barbara‐Jean Sullivan, JP Singh, Claudia Rudolph and Nancy M. Hannett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Bacteriology.

In The Last Decade

G A Rufo

10 papers receiving 695 citations

Author Peers

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

Author Last Decade Papers Cites
G A Rufo 361 252 188 138 127 10 731
Michael Byers 354 1.0× 108 0.4× 104 0.6× 373 2.7× 11 0.1× 18 829
Chris Mackenzie 677 1.9× 28 0.1× 55 0.3× 98 0.7× 33 0.3× 19 906
David R. Buckler 480 1.3× 151 0.6× 29 0.2× 227 1.6× 10 0.1× 15 647
B M Laoide 396 1.1× 53 0.2× 46 0.2× 196 1.4× 30 0.2× 11 666
Francisco O. Calvo 184 0.5× 278 1.1× 107 0.6× 173 1.3× 8 0.1× 13 625
Bei‐Chang Yang 636 1.8× 95 0.4× 11 0.1× 62 0.4× 39 0.3× 12 895
Kamran Shazand 551 1.5× 103 0.4× 19 0.1× 476 3.4× 36 0.3× 14 868
Paul Budworth 296 0.8× 182 0.7× 165 0.9× 136 1.0× 14 0.1× 15 718
Gregory K. Fontenot 242 0.7× 305 1.2× 205 1.1× 179 1.3× 8 0.1× 14 629
Peter W. S. Hill 601 1.7× 28 0.1× 73 0.4× 232 1.7× 24 0.2× 9 858

Countries citing papers authored by G A Rufo

Since Specialization
Citations

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

Fields of papers citing papers by G A Rufo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G A Rufo

This figure shows the co-authorship network connecting the top 25 collaborators of G A Rufo. A scholar is included among the top collaborators of G A Rufo 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 G A Rufo. G A Rufo 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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