Malcolm W. Brown

871 citations
16 papers · 713 · h-index 9

Impact in

    • Renal Transplantation Outcomes and Treatments
    • Memory and Neural Mechanisms
    • Memory Processes and Influences
    • Neural dynamics and brain function

Papers in

Malcolm W. Brown

16 papers receiving 697 citations

Peers

Malcolm W. Brown
Comparison fields: 5 of 72
  • Transplantation 103
  • Cognitive Neuroscience 418
  • Cellular and Molecular Neuroscience 328
  • Behavioral Neuroscience 53
  • Developmental Neuroscience 47
Replace David Bernal‐Casas with:
David Bernal‐Casas Spain
Laudino López Spain
Goldberg Me United States
Krista M. Rodgers United States
Niels Hansen Germany
Sarah A. Low United States
Dong Gao China
Daphne A. Robinson United States
Mihoko Nakamura Japan
Prasad R. Shirvalkar United States
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Citations per field
00.5×2×4×6.7×
David Bernal‐Casas · 1×
Citations per year

Countries citing papers authored by Malcolm W. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm W. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1999376
2 2005134
3 201445
4 201643
5 200032
6 201623
7 201616
8 200412
9 200412
10 19848
11 20202
12 19882
13 19992
14
Renal function outcomes with prolonged-release tacrolimus according to donor age after de novo liver transplantation: a post hoc analysis from the diamond randomized, controlled trial
20162
15 20192
16 20242

About Malcolm W. Brown

Malcolm W. Brown is a scholar working on Transplantation, Hepatology, Surgery, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 16 papers that have together received 713 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (10 papers), Organ Transplantation Techniques and Outcomes (5 papers), Liver Disease and Transplantation (3 papers), Memory and Neural Mechanisms (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Renal and Vascular Pathologies (2 papers), Pancreatic function and diabetes (1 paper) and Music Therapy and Health (1 paper). The work is most often cited by research in Transplantation (103 citations), Cognitive Neuroscience (418 citations), Cellular and Molecular Neuroscience (328 citations), Behavioral Neuroscience (53 citations) and Developmental Neuroscience (47 citations). Malcolm W. Brown has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include John P. Aggleton, Huimin Wan, Zafar Iqbal Bashir, James J. Keirns, Nasrullah A. Undre, Gbenga Kazeem, Martin Roy First, William E. Fitzsimmons, Maarten H. L. Christiaans and Maria G. Tanzi. Their work appears in journals such as Transplantation, Transplant International, The Quarterly Journal of Experimental Psychology Section B, Clinical Transplantation and ESC Heart Failure.

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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