G S Pari

13 total papers · 875 total citations
11 papers, 770 citations indexed

About

G S Pari is a scholar working on Epidemiology, Virology and Oncology. According to data from OpenAlex, G S Pari has authored 11 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 3 papers in Virology and 3 papers in Oncology. Recurrent topics in G S Pari's work include Cytomegalovirus and herpesvirus research (10 papers), Herpesvirus Infections and Treatments (9 papers) and Viral-associated cancers and disorders (3 papers). G S Pari is often cited by papers focused on Cytomegalovirus and herpesvirus research (10 papers), Herpesvirus Infections and Treatments (9 papers) and Viral-associated cancers and disorders (3 papers). G S Pari collaborates with scholars based in United States. G S Pari's co-authors include David G. Anders, Marilyn Kacica, Jean A. Smith, Stephen St. Jeor, Svetlana F. Khaiboullina, Jaroslaw P. Maciejewski, Mariana G. Bego, Anjalie Field, Scott W. Wong and Michael A. McVoy and has published in prestigious journals such as Journal of Virology, Antimicrobial Agents and Chemotherapy and Current topics in microbiology and immunology.

In The Last Decade

G S Pari

11 papers receiving 723 citations

Author Peers

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

Author						Papers	Cites
G S Pari	693	219	172	158	135	11	770
Paula M. Krosky	719 1.0×	200 0.9×	127 0.7×	128 0.8×	217 1.6×	13	865
Jaya Rajamani	533 0.8×	136 0.6×	107 0.6×	135 0.9×	89 0.7×	23	675
Paul V. McGuirt	709 1.0×	80 0.4×	133 0.8×	112 0.7×	120 0.9×	11	876
David Pasdeloup	426 0.6×	136 0.6×	79 0.5×	131 0.8×	87 0.6×	13	624
Anne Binz	530 0.8×	129 0.6×	98 0.6×	54 0.3×	99 0.7×	16	624
Ryan T. Saffert	644 0.9×	233 1.1×	140 0.8×	89 0.6×	83 0.6×	9	844
L Vugler	815 1.2×	104 0.5×	290 1.7×	100 0.6×	52 0.4×	11	885
A. Akrigg	389 0.6×	364 1.7×	72 0.4×	70 0.4×	116 0.9×	15	756
Cassie Chou	533 0.8×	134 0.6×	216 1.3×	31 0.2×	205 1.5×	11	709
Young-Eui Kim	414 0.6×	283 1.3×	112 0.7×	56 0.4×	105 0.8×	24	685

Countries citing papers authored by G S Pari

Since Specialization

Citations

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

Fields of papers citing papers by G S Pari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G S Pari

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