G. Patel

459 total citations
2 papers, 14 citations indexed

About

G. Patel is a scholar working on Social Psychology, Genetics and Nuclear and High Energy Physics. According to data from OpenAlex, G. Patel has authored 2 papers receiving a total of 14 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Social Psychology, 1 paper in Genetics and 1 paper in Nuclear and High Energy Physics. Recurrent topics in G. Patel's work include Human-Animal Interaction Studies (1 paper), Particle physics theoretical and experimental studies (1 paper) and Quantum Chromodynamics and Particle Interactions (1 paper). G. Patel is often cited by papers focused on Human-Animal Interaction Studies (1 paper), Particle physics theoretical and experimental studies (1 paper) and Quantum Chromodynamics and Particle Interactions (1 paper). G. Patel collaborates with scholars based in United Kingdom and Sweden. G. Patel's co-authors include Alexander J. German, Sarah Heath, Karen P. Coyne, P. Mason, G. Warren, G. Ekspong, H. Muirhead, C. Walck, S. Nilsson and S.O. Holmgren and has published in prestigious journals such as Nuclear Physics B and Journal of Veterinary Behavior.

In The Last Decade

G. Patel

2 papers receiving 14 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
G. Patel United Kingdom	2	10	4	4	2	2	2	14
Yao Ming China	2	7 0.7×		5 1.3×			3	18
D. P. Weygand United States	2	9 0.9×					7	11
S. V. Chekulaev Russia	3	12 1.2×					8	16
Subhadeep Roy India	3	10 1.0×					7	14
A. Masoni Italy	1	7 0.7×					2	8
M. Mang Germany	3	7 0.7×					3	15
Ph. Schwemling France	2	9 0.9×					5	9
А. Нагайцев Russia	3	10 1.0×					3	11
J. Wright United Kingdom	2	9 0.9×					2	13
C. Bini Italy	2	7 0.7×					2	15

Countries citing papers authored by G. Patel

Since Specialization

Citations

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

Fields of papers citing papers by G. Patel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Patel

This figure shows the co-authorship network connecting the top 25 collaborators of G. Patel. A scholar is included among the top collaborators of G. Patel 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. Patel. G. Patel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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2 of 2 papers shown

1.

Patel, G., Sarah Heath, Karen P. Coyne, & Alexander J. German. (2010). Pilot study to investigate whether a feline pheromone analogue reduces anxiety-related behavior during clinical examination of cats in a rescue shelter. Journal of Veterinary Behavior. 5(1). 33–33. 4 indexed citations

2.

Markytan, M., William P. Johnson, P. Mason, et al.. (1978). Inclusive production of vector and tensor mesons in antiproton-proton annihilation and non-annihilation interactions at 9.1 GeV/c. Nuclear Physics B. 143(2). 263–284. 10 indexed citations

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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