Robert N. Brown

2.3k citations
73 papers · 1.5k · h-index 23

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Surgery top 5%
    • Transplantation: Methods and Outcomes
    • Cardiac Structural Anomalies and Repair
    • Organ Transplantation Techniques and Outcomes

Papers in

Robert N. Brown

67 papers receiving 1.4k citations

Peers

Robert N. Brown
Comparison fields: 5 of 114
  • Transplantation 258
  • Surgery 806
  • Cardiology and Cardiovascular Medicine 358
  • Epidemiology 320
  • Oncology 139
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Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Robert N. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Robert N. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979106
2 200786
3 200985
4 201284
5 200477
6 200576
7 200675
8 200573
9 198072
10 200968
11 200667
12 201457
13 200743
14 200738
15 201136
16 201036
17 200634
18 201428
19 201127
20 201026

About Robert N. Brown

Robert N. Brown is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Epidemiology and Oncology, having authored 73 papers that have together received 1.5k indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (24 papers), Mechanical Circulatory Support Devices (9 papers), Cardiac Structural Anomalies and Repair (7 papers), Polyomavirus and related diseases (4 papers), Congenital Heart Disease Studies (3 papers), Renal Transplantation Outcomes and Treatments (3 papers), Hepatitis C virus research (3 papers) and Cardiac Valve Diseases and Treatments (3 papers). The work is most often cited by research in Transplantation (258 citations), Surgery (806 citations), Cardiology and Cardiovascular Medicine (358 citations), Epidemiology (320 citations) and Oncology (139 citations). Robert N. Brown has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include James K. Kirklin, James F. George, José Tallaj, David C. McGiffin, John W. Kirklin, David C. Naftel, Albert D. Pacifico, Barry K. Rayburn, Robert C. Bourge and Eugene H. Blackstone. Their work appears in journals such as The Journal of Heart and Lung Transplantation, Circulation, American Journal of Transplantation, Journal of the American College of Cardiology and The Journal of Urology.

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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