Clive G. Bowsher

32 total papers · 1.6k total citations
19 papers, 988 citations indexed

About

Clive G. Bowsher is a scholar working on Molecular Biology, General Economics, Econometrics and Finance and Finance. According to data from OpenAlex, Clive G. Bowsher has authored 19 papers receiving a total of 988 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in General Economics, Econometrics and Finance and 5 papers in Finance. Recurrent topics in Clive G. Bowsher's work include Gene Regulatory Network Analysis (9 papers), Monetary Policy and Economic Impact (5 papers) and Stochastic processes and financial applications (4 papers). Clive G. Bowsher is often cited by papers focused on Gene Regulatory Network Analysis (9 papers), Monetary Policy and Economic Impact (5 papers) and Stochastic processes and financial applications (4 papers). Clive G. Bowsher collaborates with scholars based in United Kingdom and United States. Clive G. Bowsher's co-authors include Peter S. Swain, Margaritis Voliotis, Roland Meeks, Frank Windmeijer, Craig A. McArdle, Rebecca M. Perrett, Stephen Bond, Chris McWilliams, Philipp Thomas and Ramon Grima and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Clive G. Bowsher

19 papers receiving 963 citations

Author Peers

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

Author						Papers	Cites
Clive G. Bowsher	386	366	172	171	86	19	988
Lei Chang	384 1.0×	310 0.8×	42 0.2×	39 0.2×	12 0.1×	33	972
Guozhong Zhu	361 0.9×	241 0.7×	82 0.5×	37 0.2×	82 1.0×	46	1.2k
Natalie Chen	271 0.7×	433 1.2×	85 0.5×	346 2.0×	13 0.2×	45	1.1k
Giulio Cimini	299 0.8×	133 0.4×	119 0.7×	21 0.1×	28 0.3×	47	1.2k
William Poole	658 1.7×	107 0.3×	592 3.4×	754 4.4×	63 0.7×	54	1.2k
Xinwei Ma	311 0.8×	104 0.3×	66 0.4×	25 0.1×	118 1.4×	19	973
Robert Price	361 0.9×	208 0.6×	97 0.6×	139 0.8×	45 0.5×	33	1.1k
Richard Barker	171 0.4×	266 0.7×	80 0.5×	11 0.1×	307 3.6×	76	1.1k
Arindam Das-Gupta	287 0.7×	458 1.3×	24 0.1×	14 0.1×	110 1.3×	58	1000
Yifei Mao	524 1.4×	66 0.2×	269 1.6×	39 0.2×	555 6.5×	43	1.2k

Countries citing papers authored by Clive G. Bowsher

Since Specialization

Citations

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

Fields of papers citing papers by Clive G. Bowsher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clive G. Bowsher

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