Stephen N. Greenhalgh

36 total papers · 710 total citations
18 papers, 378 citations indexed

About

Stephen N. Greenhalgh is a scholar working on Small Animals, Epidemiology and Surgery. According to data from OpenAlex, Stephen N. Greenhalgh has authored 18 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Small Animals, 6 papers in Epidemiology and 4 papers in Surgery. Recurrent topics in Stephen N. Greenhalgh's work include Liver physiology and pathology (2 papers), Adipose Tissue and Metabolism (2 papers) and Liver Disease and Transplantation (2 papers). Stephen N. Greenhalgh is often cited by papers focused on Liver physiology and pathology (2 papers), Adipose Tissue and Metabolism (2 papers) and Liver Disease and Transplantation (2 papers). Stephen N. Greenhalgh collaborates with scholars based in United Kingdom, United States and Ireland. Stephen N. Greenhalgh's co-authors include Neil C. Henderson, John P. Iredale, Penny Watson, Emma J. O’Neill, Edward J. Hall, Mark Dunning, Nick D. Jeffery, M Goodfellow, Rachael Gregson and R. Eddie Clutton and has published in prestigious journals such as The Lancet, The Journal of Immunology and Hepatology.

In The Last Decade

Stephen N. Greenhalgh

16 papers receiving 367 citations

Author Peers

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

Author Last Decade Papers Cites
Stephen N. Greenhalgh 129 124 115 83 52 18 378
Jinbo Guo 79 0.6× 89 0.7× 75 0.7× 122 1.5× 52 1.0× 19 374
Andrea Maria Gassel 113 0.9× 115 0.9× 121 1.1× 76 0.9× 33 0.6× 15 373
Qungang Shan 154 1.2× 107 0.9× 70 0.6× 80 1.0× 37 0.7× 22 422
Michihiko Takesue 205 1.6× 99 0.8× 158 1.4× 96 1.2× 15 0.3× 18 355
Axel Doenecke 143 1.1× 68 0.5× 159 1.4× 161 1.9× 53 1.0× 20 417
Choongseong Han 138 1.1× 48 0.4× 139 1.2× 150 1.8× 48 0.9× 15 403
Shi Liu 121 0.9× 171 1.4× 34 0.3× 98 1.2× 50 1.0× 31 384
Hacer Sahin 177 1.4× 180 1.5× 89 0.8× 84 1.0× 89 1.7× 18 429
Jijing Shi 62 0.5× 69 0.6× 39 0.3× 83 1.0× 86 1.7× 14 337
Raquel T. Yokoda 130 1.0× 86 0.7× 66 0.6× 53 0.6× 47 0.9× 17 343

Countries citing papers authored by Stephen N. Greenhalgh

Since Specialization
Citations

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

Fields of papers citing papers by Stephen N. Greenhalgh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen N. Greenhalgh. 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 Stephen N. Greenhalgh. The network helps show where Stephen N. Greenhalgh may publish in the future.

Co-authorship network of co-authors of Stephen N. Greenhalgh

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen N. Greenhalgh. A scholar is included among the top collaborators of Stephen N. Greenhalgh 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 Stephen N. Greenhalgh. Stephen N. Greenhalgh 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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