R A Gatti

27 total papers · 1.0k total citations
22 papers, 755 citations indexed

About

R A Gatti is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, R A Gatti has authored 22 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Immunology and 5 papers in Cancer Research. Recurrent topics in R A Gatti's work include DNA Repair Mechanisms (9 papers), Carcinogens and Genotoxicity Assessment (4 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). R A Gatti is often cited by papers focused on DNA Repair Mechanisms (9 papers), Carcinogens and Genotoxicity Assessment (4 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). R A Gatti collaborates with scholars based in United States, Canada and France. R A Gatti's co-authors include R. A. Good, Osias Stutman, Kurt Lange, Elena Boder, R.S. Sparkes, Harry V. Vinters, Amos Norman, Cathy M. Tuck‐Müller, Jane D. Funkhouser and Patrick Concannon and has published in prestigious journals such as The Lancet, Journal of Clinical Investigation and Cancer Research.

In The Last Decade

R A Gatti

21 papers receiving 721 citations

Author Peers

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

Author						Papers	Cites
R A Gatti	400	233	200	168	131	22	755
Dennis K. Watson	640 1.6×	103 0.4×	154 0.8×	131 0.8×	136 1.0×	18	876
Erich Piovan	373 0.9×	324 1.4×	305 1.5×	146 0.9×	92 0.7×	33	908
Peter Truesdell	362 0.9×	178 0.8×	350 1.8×	140 0.8×	54 0.4×	23	801
J E DeLarco	491 1.2×	234 1.0×	161 0.8×	96 0.6×	174 1.3×	19	898
Harry F. Abts	299 0.7×	248 1.1×	200 1.0×	94 0.6×	36 0.3×	27	818
Shingo Nakahata	485 1.2×	300 1.3×	144 0.7×	103 0.6×	37 0.3×	45	839
Wan-Li Liu	507 1.3×	165 0.7×	341 1.7×	172 1.0×	46 0.4×	18	864
Mark L. Watson	466 1.2×	303 1.3×	80 0.4×	99 0.6×	126 1.0×	23	807
Debra L. Wood	404 1.0×	175 0.8×	243 1.2×	86 0.5×	52 0.4×	32	846
Steffen Müller	293 0.7×	160 0.7×	100 0.5×	44 0.3×	142 1.1×	23	676

Countries citing papers authored by R A Gatti

Since Specialization

Citations

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

Fields of papers citing papers by R A Gatti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R A Gatti

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