Randal E. Morris

87 papers receiving 2.1k citations

Peers

Randal E. Morris
Comparison fields: 5 of 118
  • Transplantation 104
  • Endocrinology 179
  • Immunology 697
  • Biotechnology 269
  • Infectious Diseases 418
Replace Stephen J. Prowse with:
Stephen J. Prowse Australia
Joseph M. Davie United States
Martin J. Pearse Australia
Peter J. Kilshaw United Kingdom
G. G. B. Klaus Tanzania
Doryen Bubeck United Kingdom
Russell D. Salter United States
J P Tite United Kingdom
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Citations per field
00.5×4.7×
Stephen J. Prowse · 1×
Citations per year

Countries citing papers authored by Randal E. Morris

Since Specialization
Citations

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

Fields of papers citing papers by Randal E. Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Randal E. Morris. 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 Randal E. Morris. The network helps show where Randal E. Morris may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200524
2 20042
3 20037
4 200174
5 200124
6 20012
7 199979
8 199728
9
SP100030 is a novel T-cell-specific transcription factor inhibitor that possesses immunosuppressive activity in vivo.
199611
10 199531
11
New small molecule immunosuppressants for transplantation: review of essential concepts.
199438
12 199444
13 199424
14
Brequinar sodium effectively and potently suppresses allograft rejection in a heterotopic mouse heart transplant model.
19931
15 19923
16 199236
17 19923
18 19919
19 198824
20 19852

About Randal E. Morris

Randal E. Morris is a scholar working on Transplantation, Structural Biology, Immunology, Biotechnology and Microbiology, having authored 87 papers that have together received 2.2k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (18 papers), Biochemical and Structural Characterization (8 papers), Renal Transplantation Outcomes and Treatments (7 papers), Biotin and Related Studies (6 papers), Transplantation: Methods and Outcomes (6 papers), Advanced biosensing and bioanalysis techniques (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Microbial infections and disease research (5 papers). The work is most often cited by research in Transplantation (104 citations), Endocrinology (179 citations), Immunology (697 citations), Biotechnology (269 citations) and Infectious Diseases (418 citations). Randal E. Morris has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Catharine B. Saelinger, Georgianne M. Ciraolo, Peter F. Bonventre, Simon L. Newman, Michael R. Thompson, Dudley K. Strickland, David Fitzgerald, Maria Z. Kounnas, Thomas L. Hale and Lucy A. Gildea. Their work appears in journals such as Infection and Immunity, Journal of Histochemistry & Cytochemistry, The Journal of Immunology, Journal of Biological Chemistry and Methods in enzymology on CD-ROM/Methods in enzymology.

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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