Steven E. Merritt

14 total papers · 930 total citations
13 papers, 797 citations indexed

About

Steven E. Merritt is a scholar working on Molecular Biology, Nephrology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Steven E. Merritt has authored 13 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Nephrology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Steven E. Merritt's work include Melanoma and MAPK Pathways (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Steven E. Merritt is often cited by papers focused on Melanoma and MAPK Pathways (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Steven E. Merritt collaborates with scholars based in United States and Germany. Steven E. Merritt's co-authors include Lawrence B. Holzman, Roger C. Wiggins, Guang-Yao Fan, Deepak Nihalani, Sem H. Phan, Marina Mata, Peter E. Shaw, Monika Kortenjann, Paul D. Killen and Jung‐Woo Noh and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Steven E. Merritt

13 papers receiving 779 citations

Author Peers

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

Author Last Decade Papers Cites
Steven E. Merritt 532 138 100 89 77 13 797
R Misra 545 1.0× 55 0.4× 52 0.5× 122 1.4× 94 1.2× 17 829
Robert Mott 519 1.0× 88 0.6× 71 0.7× 35 0.4× 40 0.5× 14 1.0k
Shun-Ai Li 644 1.2× 242 1.8× 188 1.9× 42 0.5× 52 0.7× 17 1.0k
Salvatore F. Pietromonaco 538 1.0× 198 1.4× 262 2.6× 67 0.8× 105 1.4× 11 1.0k
Shenaz Khan 531 1.0× 269 1.9× 94 0.9× 31 0.3× 87 1.1× 21 980
Janet Beckmann 347 0.7× 75 0.5× 170 1.7× 36 0.4× 61 0.8× 10 763
R. Paul Schaudies 548 1.0× 41 0.3× 74 0.7× 65 0.7× 102 1.3× 26 812
David Woo 617 1.2× 115 0.8× 55 0.6× 35 0.4× 138 1.8× 17 935
Pierre Scotney 548 1.0× 59 0.4× 63 0.6× 102 1.1× 165 2.1× 21 1.0k
Gábor Sirokmány 536 1.0× 42 0.3× 185 1.9× 32 0.4× 86 1.1× 17 859

Countries citing papers authored by Steven E. Merritt

Since Specialization
Citations

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

Fields of papers citing papers by Steven E. Merritt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven E. Merritt. 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 Steven E. Merritt. The network helps show where Steven E. Merritt may publish in the future.

Co-authorship network of co-authors of Steven E. Merritt

This figure shows the co-authorship network connecting the top 25 collaborators of Steven E. Merritt. A scholar is included among the top collaborators of Steven E. Merritt 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 Steven E. Merritt. Steven E. Merritt 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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