Stephen H. Parsons

97 total papers · 2.6k total citations
14 papers, 1.0k citations indexed

About

Stephen H. Parsons is a scholar working on Molecular Biology, Rheumatology and Physiology. According to data from OpenAlex, Stephen H. Parsons has authored 14 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Rheumatology and 2 papers in Physiology. Recurrent topics in Stephen H. Parsons's work include TGF-β signaling in diseases (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Eosinophilic Disorders and Syndromes (2 papers). Stephen H. Parsons is often cited by papers focused on TGF-β signaling in diseases (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Eosinophilic Disorders and Syndromes (2 papers). Stephen H. Parsons collaborates with scholars based in United States and Canada. Stephen H. Parsons's co-authors include Mark R. Kelley, Jonathan M. Yingling, Faming Zhang, Jeremy R. Graff, Bruce W. Konicek, Chad A. Dumstorf, Helen Michael, David H. Moore, Ann M. McNulty and Lei Yan and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Cancer Research.

In The Last Decade

Stephen H. Parsons

14 papers receiving 1.0k 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 H. Parsons 784 215 92 79 76 14 1.0k
John G. Shelton 639 0.8× 267 1.2× 102 1.1× 105 1.3× 86 1.1× 17 929
Mayuko Omori 880 1.1× 293 1.4× 122 1.3× 74 0.9× 76 1.0× 14 1.2k
Nanni Huser 736 0.9× 237 1.1× 84 0.9× 73 0.9× 100 1.3× 15 997
Elena Bevilacqua 618 0.8× 157 0.7× 115 1.3× 67 0.8× 83 1.1× 24 1.0k
Lynn Ueno 626 0.8× 220 1.0× 147 1.6× 74 0.9× 126 1.7× 13 904
Mihail Buse 502 0.6× 178 0.8× 176 1.9× 83 1.1× 68 0.9× 14 863
Chul-Koo Cho 770 1.0× 194 0.9× 147 1.6× 39 0.5× 108 1.4× 20 1.1k
Erica L. Bradshaw‐Pierce 574 0.7× 286 1.3× 94 1.0× 42 0.5× 90 1.2× 25 975
Kylie A. Hotchkiss 622 0.8× 224 1.0× 169 1.8× 41 0.5× 136 1.8× 13 1.0k
Michelle Wong 673 0.9× 181 0.8× 85 0.9× 87 1.1× 124 1.6× 18 972

Countries citing papers authored by Stephen H. Parsons

Since Specialization
Citations

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

Fields of papers citing papers by Stephen H. Parsons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen H. Parsons

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