Stephen Munn

1.6k citations
54 papers · 1.1k · h-index 20

Impact in

Papers in

    • Organ Transplantation Techniques and Outcomes 20
    • Pancreatic function and diabetes 6
    • Liver Disease and Transplantation 6
    • Hepatitis C virus research 5

Stephen Munn

54 papers receiving 1.1k citations

Peers

Stephen Munn
Comparison fields: 5 of 69
  • Transplantation 176
  • Hepatology 235
  • Surgery 496
  • Endocrinology, Diabetes and Metabolism 182
  • Epidemiology 282
Replace Neil Fisher with:
Neil Fisher United Kingdom
George E. Loss United States
Adam M. Frank United States
J. Miller United States
Robert L. Carithers United States
D. Clements United Kingdom
Mario Carmellini Italy
F. O. Belzer United States
Consuelo Fernández‐Miranda Spain
Michaël Bismuth France
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Citations per field
00.5×2.9×
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Citations per year

Countries citing papers authored by Stephen Munn

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Munn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephen 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 Stephen Munn Line = papers co-authored together Stephen Munn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000125
2 200197
3 199081
4 199661
5 202051
6 198946
7 199741
8 201940
9 201638
10
Is cytomegalovirus infection related to mycophenolate mofetil after kidney transplantation? A case-control study.
199834
11 199633
12 199033
13 200928
14 201127
15 200726
16 200926
17 199924
18 199823
19 199023
20 199021

About Stephen Munn

Stephen Munn is a scholar working on Surgery, Hepatology, Epidemiology, Transplantation and Public Health, Environmental and Occupational Health, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (20 papers), Renal Transplantation Outcomes and Treatments (10 papers), Liver Disease and Transplantation (6 papers), Pancreatic function and diabetes (6 papers), Hepatitis B Virus Studies (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Hepatitis C virus research (5 papers) and Cytomegalovirus and herpesvirus research (5 papers). The work is most often cited by research in Transplantation (176 citations), Hepatology (235 citations), Surgery (496 citations), Endocrinology, Diabetes and Metabolism (182 citations) and Epidemiology (282 citations). Stephen Munn has collaborated with scholars based in New Zealand, United States and Australia. Frequent co-authors include Juan M. Sarmiento, Carlos V. Payá, Edward Gane, John McCall, Geoffrey W. McCaughan, M. J. Field, Thomas R. Schwab, Dixon B. Kaufman, David H. Dockrell and Lindsay D. Plank. Their work appears in journals such as Transplantation, Human Immunology, Clinical Transplantation, HPB and Anesthesia & Analgesia.

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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