John N. Buchholz

67 total papers · 1.4k total citations
56 papers, 1.1k citations indexed

About

John N. Buchholz is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, John N. Buchholz has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cellular and Molecular Neuroscience, 29 papers in Molecular Biology and 27 papers in Physiology. Recurrent topics in John N. Buchholz's work include Neuroscience and Neuropharmacology Research (23 papers), Nitric Oxide and Endothelin Effects (13 papers) and Receptor Mechanisms and Signaling (11 papers). John N. Buchholz is often cited by papers focused on Neuroscience and Neuropharmacology Research (23 papers), Nitric Oxide and Endothelin Effects (13 papers) and Receptor Mechanisms and Signaling (11 papers). John N. Buchholz collaborates with scholars based in United States, Spain and Brazil. John N. Buchholz's co-authors include Sue P. Duckles, Li Zhang, William J. Pearce, Henry J. Tsai, Daliao Xiao, Erik J. Behringer, Greg G. Geary, Man Chen, Kangling Zhang and Chiranjib Dasgupta and has published in prestigious journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and Brain Research.

In The Last Decade

John N. Buchholz

56 papers receiving 1.1k 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 N. Buchholz 521 363 303 204 165 56 1.1k
Simon J. Potocnik 479 0.9× 368 1.0× 132 0.4× 132 0.6× 309 1.9× 36 1.1k
Daniel Abran 390 0.7× 406 1.1× 120 0.4× 377 1.8× 125 0.8× 38 1.4k
Véronique Baudrie 597 1.1× 195 0.5× 296 1.0× 108 0.5× 367 2.2× 53 1.4k
Juan José López‐Costa 268 0.5× 283 0.8× 282 0.9× 131 0.6× 53 0.3× 56 1.0k
Fusun Kilic 680 1.3× 204 0.6× 422 1.4× 114 0.6× 103 0.6× 40 1.5k
Phillip M. Hutchins 314 0.6× 426 1.2× 115 0.4× 74 0.4× 362 2.2× 43 1.4k
Harald Hoeger 508 1.0× 257 0.7× 401 1.3× 351 1.7× 52 0.3× 67 1.5k
Silvia Lores‐Arnaiz 396 0.8× 312 0.9× 241 0.8× 81 0.4× 62 0.4× 45 934
Sumio Masumura 317 0.6× 370 1.0× 106 0.3× 75 0.4× 124 0.8× 53 1.3k
Xiaolin Deng 186 0.4× 255 0.7× 201 0.7× 223 1.1× 195 1.2× 38 941

Countries citing papers authored by John N. Buchholz

Since Specialization
Citations

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

Fields of papers citing papers by John N. Buchholz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John N. Buchholz

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