Robert J. Munn

9.9k citations
121 papers · 4.2k indexed · 1 hit paper · h-index 34

Impact in

Papers in

Robert J. Munn

119 papers receiving 3.9k citations

Hit Papers

Manual Hematoxylin and Eosin Staining of Mouse Tissue Sections 2014 · 670 citations
6702014202620182022200400600

Peers

Robert J. Munn
Comparison fields: 5 of 156
  • Virology 892
  • Immunology 673
  • Epidemiology 862
  • Applied Mathematics 235
  • Atomic and Molecular Physics, and Optics 646
Replace Israël Schechter with:
Israël Schechter Israel
Jacques Dubochet Switzerland
David Bacon United Kingdom
David S. Hsu United States
Gareth Griffiths Germany
Michael M. Kozlov Israel
Hitoshi Nishimura Japan
Paul Walther Germany
John E. Johnson United States
Péter Tompa Hungary
Robert J. Munn relative to Israël Schechter Israel Israël Schechter's profile →
Citations per field
00.5×10×14.7×
Israël Schechter · 1×
Citations per year

Countries citing papers authored by Robert J. Munn

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. Munn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Robert J. Munn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert J. Munn Line = papers co-authored together Robert J. Munn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201416
2 20146
3 20133
4 201332
5 200419
6 200444
7
Comparative pathology of mouse models of human cancers: Genetically engineering a mouse
20034
8 200125
9 200011
10 19974
11 199639
12 199522
13 199431
14 19946
15 199358
16 199211
17 19918
18 1991106
19 199146
20 198933

About Robert J. Munn

Robert J. Munn is a scholar working on Virology, Immunology, Microbiology, Fluid Flow and Transfer Processes and Small Animals, having authored 121 papers that have together received 4.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (14 papers), Virus-based gene therapy research (14 papers), Veterinary Oncology Research (13 papers), Chemical Thermodynamics and Molecular Structure (11 papers), T-cell and Retrovirus Studies (10 papers), Herpesvirus Infections and Treatments (9 papers), Quantum, superfluid, helium dynamics (9 papers) and Cytomegalovirus and herpesvirus research (8 papers). The work is most often cited by research in Virology (892 citations), Immunology (673 citations), Epidemiology (862 citations), Applied Mathematics (235 citations) and Atomic and Molecular Physics, and Optics (646 citations). Robert J. Munn has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Robert D. Cardiff, F.J. Smith, Claramae H. Miller, Edward A. Mason, Murray B. Gardner, Preston A. Marx, L. Monchick, Thomas G. Kawakami, Linda J. Lowenstine and Nicholas W. Lerche. Their work appears in journals such as The Journal of Chemical Physics, Cold Spring Harbor Protocols, American Journal of Veterinary Research, Journal of Veterinary Internal Medicine and Nature.

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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