J. C. Nixon

39 total papers · 2.0k total citations
38 papers, 1.6k citations indexed

About

J. C. Nixon is a scholar working on Molecular Biology, Surgery and Clinical Biochemistry. According to data from OpenAlex, J. C. Nixon has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Surgery and 9 papers in Clinical Biochemistry. Recurrent topics in J. C. Nixon's work include Metabolism and Genetic Disorders (9 papers), Nitric Oxide and Endothelin Effects (5 papers) and Amino Acid Enzymes and Metabolism (5 papers). J. C. Nixon is often cited by papers focused on Metabolism and Genetic Disorders (9 papers), Nitric Oxide and Endothelin Effects (5 papers) and Amino Acid Enzymes and Metabolism (5 papers). J. C. Nixon collaborates with scholars based in United States, Canada and Germany. J. C. Nixon's co-authors include Takeshi Fukushima, S E Lynch, Harry N. Antoniades, Robert B. Colvin, Joseph L. Unthank, Michael C. Dalsing, Eileen Remold‐O’Donnell, Richard M. Rose, J. M. Lash and Charles A. Nichol and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

J. C. Nixon

37 papers receiving 1.5k citations

Hit Papers

Analysis of reduced forms... 1980 2026 1995 2010 1980 200 400 600

Author Peers

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

Author Last Decade Papers Cites
J. C. Nixon 647 396 357 246 208 38 1.6k
M. D. Laryea 577 0.9× 161 0.4× 285 0.8× 491 2.0× 96 0.5× 43 2.3k
John Rediske 489 0.8× 467 1.2× 102 0.3× 163 0.7× 108 0.5× 28 1.9k
Saranya Ravi 1.0k 1.5× 419 1.1× 139 0.4× 176 0.7× 97 0.5× 27 2.3k
George J. Cardinale 651 1.0× 224 0.6× 231 0.6× 109 0.4× 155 0.7× 37 1.6k
Sander Grefte 1.2k 1.9× 309 0.8× 109 0.3× 286 1.2× 32 0.2× 39 1.9k
Cliff R. Stevens 513 0.8× 650 1.6× 56 0.2× 284 1.2× 220 1.1× 46 2.0k
Hitesh Peshavariya 705 1.1× 534 1.3× 52 0.1× 223 0.9× 99 0.5× 34 1.9k
Rebecca K. Studer 458 0.7× 229 0.6× 118 0.3× 450 1.8× 68 0.3× 42 1.7k
Roberta Tiozzo 804 1.2× 179 0.5× 60 0.2× 290 1.2× 57 0.3× 63 1.8k
Antonio Desmond McCarthy 999 1.5× 172 0.4× 315 0.9× 215 0.9× 93 0.4× 47 1.9k

Countries citing papers authored by J. C. Nixon

Since Specialization
Citations

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

Fields of papers citing papers by J. C. Nixon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. C. Nixon

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