David H. Munn

413 total papers · 40.1k total citations
223 papers, 30.8k citations indexed

About

David H. Munn is a scholar working on Immunology, Biological Psychiatry and Oncology. According to data from OpenAlex, David H. Munn has authored 223 papers receiving a total of 30.8k indexed citations (citations by other indexed papers that have themselves been cited), including 135 papers in Immunology, 95 papers in Biological Psychiatry and 56 papers in Oncology. Recurrent topics in David H. Munn's work include Tryptophan and brain disorders (95 papers), Immune Cell Function and Interaction (80 papers) and Immunotherapy and Immune Responses (44 papers). David H. Munn is often cited by papers focused on Tryptophan and brain disorders (95 papers), Immune Cell Function and Interaction (80 papers) and Immunotherapy and Immune Responses (44 papers). David H. Munn collaborates with scholars based in United States, Japan and China. David H. Munn's co-authors include Andrew L. Mellor, Phillip Chandler, Madhav Sharma, Babak Baban, John T. Attwood, I. E. Bondarev, Bruce R. Blazar, Brendan Marshall, Jeffrey R. Lee and Min Zhou and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

David H. Munn

221 papers receiving 30.4k citations

Hit Papers

Prevention of Allogeneic ... 1998 2026 2007 2016 1998 2004 2014 1999 2005 500 1000 1.5k 2.0k

Author Peers

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

Author Last Decade Papers Cites
David H. Munn 17.1k 9.4k 7.4k 7.3k 3.8k 223 30.8k
Andrew L. Mellor 16.3k 1.0× 10.4k 1.1× 7.2k 1.0× 5.3k 0.7× 4.4k 1.2× 228 31.1k
Francesca Fallarino 8.8k 0.5× 4.9k 0.5× 4.8k 0.6× 2.5k 0.3× 2.0k 0.5× 176 17.7k
Paolo Puccetti 10.8k 0.6× 4.6k 0.5× 4.7k 0.6× 2.4k 0.3× 1.9k 0.5× 255 21.3k
Ursula Grohmann 6.8k 0.4× 3.9k 0.4× 2.4k 0.3× 1.6k 0.2× 1.8k 0.5× 130 11.8k
Miriam Mérad 27.4k 1.6× 1.3k 0.1× 11.5k 1.6× 8.2k 1.1× 706 0.2× 247 45.7k
Francisco J. Quintana 9.2k 0.5× 1.7k 0.2× 6.0k 0.8× 2.1k 0.3× 460 0.1× 199 20.0k
Stefan Rose‐John 18.5k 1.1× 956 0.1× 13.7k 1.8× 17.6k 2.4× 825 0.2× 567 48.0k
Burkhard Becher 15.3k 0.9× 1.4k 0.1× 6.1k 0.8× 3.8k 0.5× 363 0.1× 234 26.8k
Ronald L. Wilder 5.9k 0.3× 487 0.1× 3.8k 0.5× 2.5k 0.3× 1.6k 0.4× 113 27.1k
J. Edwin Blalock 3.5k 0.2× 855 0.1× 4.7k 0.6× 1.3k 0.2× 2.6k 0.7× 303 15.4k

Countries citing papers authored by David H. Munn

Since Specialization
Citations

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

Fields of papers citing papers by David H. Munn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David H. Munn. 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 David H. Munn. The network helps show where David H. Munn may publish in the future.

Co-authorship network of co-authors of David H. Munn

This figure shows the co-authorship network connecting the top 25 collaborators of David H. Munn. A scholar is included among the top collaborators of David H. Munn 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 David H. Munn. David H. Munn 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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