John R. Hadcock

83 total papers · 3.6k total citations
60 papers, 2.9k citations indexed

About

John R. Hadcock is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, John R. Hadcock has authored 60 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 17 papers in Cellular and Molecular Neuroscience and 17 papers in Physiology. Recurrent topics in John R. Hadcock's work include Receptor Mechanisms and Signaling (28 papers), Pharmacological Effects and Assays (11 papers) and Adipose Tissue and Metabolism (10 papers). John R. Hadcock is often cited by papers focused on Receptor Mechanisms and Signaling (28 papers), Pharmacological Effects and Assays (11 papers) and Adipose Tissue and Metabolism (10 papers). John R. Hadcock collaborates with scholars based in United States, United Kingdom and France. John R. Hadcock's co-authors include C C Malbon, Joann Strnad, Manuel Ros, J. David Port, Craig C. Malbon, Mark H. Pausch, Laura A. Price, David C. Watkins, Rodney A. Bednar and Marina S. Gelman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

John R. Hadcock

60 papers receiving 2.8k citations

Author Peers

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

Author Last Decade Papers Cites
John R. Hadcock 1.8k 896 687 266 251 60 2.9k
Dana S. Hutchinson 1.3k 0.7× 682 0.8× 995 1.4× 215 0.8× 317 1.3× 83 2.8k
Grant A. McPherson 2.0k 1.1× 1.5k 1.6× 865 1.3× 289 1.1× 68 0.3× 64 3.7k
Mari R. Candelore 3.1k 1.8× 1.8k 2.0× 699 1.0× 333 1.3× 180 0.7× 47 4.2k
L E Limbird 3.0k 1.7× 1.8k 2.0× 581 0.8× 276 1.0× 83 0.3× 60 4.4k
Neville Marks 2.1k 1.1× 1.4k 1.6× 767 1.1× 149 0.6× 152 0.6× 119 3.6k
Antonio De Blasi 3.3k 1.9× 2.7k 3.0× 565 0.8× 227 0.9× 189 0.8× 101 5.4k
Ritchie Williamson 1.1k 0.6× 437 0.5× 946 1.4× 230 0.9× 108 0.4× 39 2.3k
C C Malbon 3.1k 1.7× 1.2k 1.4× 1.1k 1.6× 544 2.0× 151 0.6× 81 4.5k
Philippe Schoeffter 2.1k 1.2× 2.0k 2.2× 891 1.3× 374 1.4× 322 1.3× 80 3.9k
R J Lefkowitz 3.1k 1.8× 1.9k 2.1× 589 0.9× 330 1.2× 86 0.3× 29 4.1k

Countries citing papers authored by John R. Hadcock

Since Specialization
Citations

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

Fields of papers citing papers by John R. Hadcock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Hadcock. 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 John R. Hadcock. The network helps show where John R. Hadcock may publish in the future.

Co-authorship network of co-authors of John R. Hadcock

This figure shows the co-authorship network connecting the top 25 collaborators of John R. Hadcock. A scholar is included among the top collaborators of John R. Hadcock 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 John R. Hadcock. John R. Hadcock 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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