Brian M. Freed

3.9k citations
90 papers · 2.8k indexed · h-index 29
    • Renal Transplantation Outcomes and Treatments 16
  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation 7
  • Immunology top 5%
    • Immune Cell Function and Interaction 20
    • T-cell and B-cell Immunology 13
    • Immunotherapy and Immune Responses 10
  • Genetics top 5%
  • Oncology top 10%
    • Genomics, phytochemicals, and oxidative stress 9
    • Cytomegalovirus and herpesvirus research 7
    • Renal Diseases and Glomerulopathies 5

Brian M. Freed

87 papers receiving 2.8k citations

Peers

Brian M. Freed
Comparison fields: 5 of 133
  • Transplantation 428
  • Hematology 483
  • Immunology 810
  • Genetics 348
  • Oncology 452
Replace Félix Couture with:
Félix Couture Canada
Giuseppe Castellano Italy
Nicole D. Zantek United States
Giovanni Stallone Italy
Roberto Dall’Amico Italy
Rafael Ramı́rez Spain
Ulrich Kunzendorf Germany
Joan Torrás Spain
Yuqian Sun China
François Vrtovsnik France
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Citations per field
00.5×2.7×
Félix Couture · 1×
Citations per year

Countries citing papers authored by Brian M. Freed

Since Specialization
Citations

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

Fields of papers citing papers by Brian M. Freed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian M. Freed. 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 Brian M. Freed. The network helps show where Brian M. Freed may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20229
2 20229
3 202113
4 201945
5 2019127
6 201531
7 20129
8 201117
9 200799
10 20068
11 200611
12 200547
13 200423
14 2002284
15 200038
16 199817
17 19981
18 199723
19 199645
20 198921

About Brian M. Freed

Brian M. Freed is a scholar working on Transplantation, Immunology and Hematology, having authored 90 papers that have together received 2.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (20 papers), Renal Transplantation Outcomes and Treatments (16 papers), T-cell and B-cell Immunology (13 papers), Immunotherapy and Immune Responses (10 papers), Genomics, phytochemicals, and oxidative stress (9 papers), Cytomegalovirus and herpesvirus research (7 papers), Hematopoietic Stem Cell Transplantation (7 papers) and Renal Diseases and Glomerulopathies (5 papers). The work is most often cited by research in Transplantation (428 citations), Hematology (483 citations) and Immunology (810 citations). Brian M. Freed has collaborated with scholars based in United States, Spain and Saudi Arabia. Frequent co-authors include Neil Lempert, T G Rosano, Michael T. Aubrey, Yanli Ouyang, Julie Lang, Roberta Pelanda, Andrew P. Fontenot, Hao Ping, Michael T. Falta and Cherie Lambert. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

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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