Robert J. Munn

124 papers receiving 4.3k citations

Robert J. Munn's Hit Papers

Manual Hematoxylin and Eosin Staining of Mouse Tissue Sections 2014 · 704 citations
7040+4+8Years since publication200400600

Peers

Robert J. Munn
Comparison fields: 5 of 157
  • Virology 959
  • Immunology 715
  • Epidemiology 934
  • Applied Mathematics 287
  • Genetics 608
Replace F. A. Matsen with:
F. A. Matsen United States
Israël Schechter Israel
Jacques Dubochet Switzerland
David S. Hsu United States
David Bacon United Kingdom
John E. Johnson United States
Hitoshi Nishimura Japan
Paul Walther Germany
J. E. Williams United States
Toshio Takahashi Japan
Robert J. Munn relative to F. A. Matsen United States F. A. Matsen's profile →
Citations per field
00.5×2×3×4×4.6×
F. A. Matsen · 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-authors

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

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Manual Hematoxylin and Eosin Staining of Mouse Tissue Sections
Hit paper breakdown →
2014704
2 1986218
3 1984208
4 1967180
5
Localization of simian immunodeficiency virus in the central nervous system of rhesus monkeys.
1991165
6 1969137
7 1964132
8 1991112
9 1966110
10 1991108
11 199879
12 196773
13 196473
14 196568
15 199363
16 199962
17 200060
18 196655
19 196551
20 199148

About Robert J. Munn

Robert J. Munn is a scholar working on Immunology, Molecular Biology, Atomic and Molecular Physics, and Optics, Epidemiology and Genetics, having authored 126 papers that have together received 4.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (15 papers), Veterinary Oncology Research (13 papers), Virus-based gene therapy research (12 papers), Chemical Thermodynamics and Molecular Structure (11 papers), T-cell and Retrovirus Studies (10 papers), Herpesvirus Infections and Treatments (9 papers), Cytomegalovirus and herpesvirus research (9 papers) and Quantum, superfluid, helium dynamics (9 papers). The work is most often cited by research in Virology (959 citations), Immunology (715 citations), Epidemiology (934 citations), Applied Mathematics (287 citations) and Genetics (608 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, Preston A. Marx, Murray B. Gardner, 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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