W P Gati

20 total papers · 455 total citations
19 papers, 398 citations indexed

About

W P Gati is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, W P Gati has authored 19 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 8 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in W P Gati's work include Adenosine and Purinergic Signaling (11 papers), DNA and Nucleic Acid Chemistry (5 papers) and Cytomegalovirus and herpesvirus research (5 papers). W P Gati is often cited by papers focused on Adenosine and Purinergic Signaling (11 papers), DNA and Nucleic Acid Chemistry (5 papers) and Cytomegalovirus and herpesvirus research (5 papers). W P Gati collaborates with scholars based in Canada, United States and Switzerland. W P Gati's co-authors include A. R. P. Paterson, James D. Young, Carol E. Cass, P W Straub, J A Belt, Lina Dagnino, Mabel W.L. Ritzel, Amy M.L. Ng, Song Yao and Simon M. Jarvis and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical Journal and Antimicrobial Agents and Chemotherapy.

In The Last Decade

W P Gati

19 papers receiving 382 citations

Author Peers

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

Author						Papers	Cites
W P Gati	244	152	99	80	76	19	398
Pedro Cano‐Soldado	174 0.7×	114 0.8×	163 1.6×	76 0.9×	125 1.6×	11	410
Isabel Huber‐Ruano	97 0.4×	162 1.1×	109 1.1×	35 0.4×	70 0.9×	15	397
Wendy P. Gati	108 0.4×	115 0.8×	80 0.8×	29 0.4×	67 0.9×	19	368
Adam Elwi	68 0.3×	181 1.2×	122 1.2×	42 0.5×	7 0.1×	20	369
Gail S. Duncan	129 0.5×	245 1.6×	40 0.4×	13 0.2×	61 0.8×	13	374
Paul K. Laikind	73 0.3×	255 1.7×	24 0.2×	51 0.6×	28 0.4×	12	431
John G. Niedzwicki	64 0.3×	300 2.0×	98 1.0×	49 0.6×	79 1.0×	12	415
Paula Fernández‐Calotti	52 0.2×	145 1.0×	65 0.7×	7 0.1×	30 0.4×	17	396
Alan Fotoohi	26 0.1×	109 0.7×	76 0.8×	55 0.7×	30 0.4×	17	360
J. Navarro	40 0.2×	165 1.1×	34 0.3×	16 0.2×	102 1.3×	21	399

Countries citing papers authored by W P Gati

Since Specialization

Citations

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

Fields of papers citing papers by W P Gati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W P Gati

This figure shows the co-authorship network connecting the top 25 collaborators of W P Gati. A scholar is included among the top collaborators of W P Gati 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 W P Gati. W P Gati 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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