Mark J. Mulvihill

173 total papers · 2.0k total citations
49 papers, 1.5k citations indexed

About

Mark J. Mulvihill is a scholar working on Molecular Biology, Organic Chemistry and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Mark J. Mulvihill has authored 49 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 19 papers in Organic Chemistry and 13 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Mark J. Mulvihill's work include Growth Hormone and Insulin-like Growth Factors (13 papers), Metabolism, Diabetes, and Cancer (9 papers) and PI3K/AKT/mTOR signaling in cancer (7 papers). Mark J. Mulvihill is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (13 papers), Metabolism, Diabetes, and Cancer (9 papers) and PI3K/AKT/mTOR signaling in cancer (7 papers). Mark J. Mulvihill collaborates with scholars based in United States, Canada and United Kingdom. Mark J. Mulvihill's co-authors include Marvin J. Miller, Elizabeth Buck, Qunsheng Ji, M. D. Surman, Maryland Rosenfeld-Franklin, Neil W. Gibson, Andrew Cooke, Matthew O’Connor, Caroline Pirritt and Lee D. Arnold and has published in prestigious journals such as The EMBO Journal, Biochemistry and Cancer Research.

In The Last Decade

Mark J. Mulvihill

46 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Mark J. Mulvihill 861 536 362 252 213 49 1.5k
Jeffrey A. Stafford 952 1.1× 783 1.5× 307 0.8× 547 2.2× 184 0.9× 43 2.3k
Lee D. Arnold 1.1k 1.3× 492 0.9× 181 0.5× 540 2.1× 168 0.8× 37 1.9k
Thomas W von Geldern 617 0.7× 851 1.6× 239 0.7× 177 0.7× 91 0.4× 56 2.1k
Kevin Kish 921 1.1× 376 0.7× 384 1.1× 263 1.0× 61 0.3× 38 2.0k
Laurent Morel 724 0.8× 676 1.3× 148 0.4× 486 1.9× 186 0.9× 61 2.0k
Santanu Mondal 741 0.9× 175 0.3× 183 0.5× 205 0.8× 128 0.6× 43 1.9k
Salahuddin Syed 571 0.7× 513 1.0× 65 0.2× 318 1.3× 225 1.1× 30 1.4k
Joanna Wdzieczak‐Bakala 820 1.0× 838 1.6× 81 0.2× 304 1.2× 97 0.5× 60 2.1k
Claude Beaudoin 593 0.7× 407 0.8× 119 0.3× 342 1.4× 120 0.6× 40 1.5k
Richard M. Keenan 576 0.7× 394 0.7× 177 0.5× 175 0.7× 48 0.2× 39 1.4k

Countries citing papers authored by Mark J. Mulvihill

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Mulvihill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark J. Mulvihill. 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 Mark J. Mulvihill. The network helps show where Mark J. Mulvihill may publish in the future.

Co-authorship network of co-authors of Mark J. Mulvihill

This figure shows the co-authorship network connecting the top 25 collaborators of Mark J. Mulvihill. A scholar is included among the top collaborators of Mark J. Mulvihill 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 Mark J. Mulvihill. Mark J. Mulvihill 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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