Donald C. Manning

51 total papers · 13.3k total citations
36 papers, 1.7k citations indexed

About

Donald C. Manning is a scholar working on Cellular and Molecular Neuroscience, Physiology and Genetics. According to data from OpenAlex, Donald C. Manning has authored 36 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 11 papers in Physiology and 10 papers in Genetics. Recurrent topics in Donald C. Manning's work include Pain Mechanisms and Treatments (11 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (9 papers) and Neuropeptides and Animal Physiology (6 papers). Donald C. Manning is often cited by papers focused on Pain Mechanisms and Treatments (11 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (9 papers) and Neuropeptides and Animal Physiology (6 papers). Donald C. Manning collaborates with scholars based in United States, Switzerland and United Kingdom. Donald C. Manning's co-authors include Solomon H. Snyder, John M. Stewart, Raymond J. Vavrek, Susan A. Borosky, John W. Ferkany, S H Snyder, Jane R. Connor, Larry R. Steranka, László Urbán and Alyson Fox and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Donald C. Manning

35 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Donald C. Manning 647 555 485 455 266 36 1.7k
Albert Chang 506 0.8× 521 0.9× 1.1k 2.3× 1.0k 2.3× 284 1.1× 25 1.9k
Friederike Knerlich‐Lukoschus 236 0.4× 278 0.5× 299 0.6× 259 0.6× 280 1.1× 37 1.4k
Chun‐Fang Xia 271 0.4× 450 0.8× 608 1.3× 247 0.5× 116 0.4× 27 1.7k
Pieter J. Peeters 368 0.6× 302 0.5× 837 1.7× 250 0.5× 371 1.4× 40 2.2k
Tong‐Chun Wen 226 0.3× 316 0.6× 710 1.5× 389 0.9× 299 1.1× 31 2.3k
Lorena Arranz 480 0.7× 295 0.5× 538 1.1× 145 0.3× 185 0.7× 39 2.1k
Fabrizio Ledda 175 0.3× 611 1.1× 1.0k 2.1× 409 0.9× 144 0.5× 61 2.3k
Virginia Rodriguez‐Menendez 176 0.3× 284 0.5× 505 1.0× 202 0.4× 468 1.8× 47 1.3k
N Oggioni 244 0.4× 673 1.2× 538 1.1× 299 0.7× 1.2k 4.3× 55 2.2k
Nitin Agarwal 121 0.2× 350 0.6× 552 1.1× 281 0.6× 201 0.8× 54 1.5k

Countries citing papers authored by Donald C. Manning

Since Specialization
Citations

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

Fields of papers citing papers by Donald C. Manning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donald C. Manning

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