Debra D. Bloom

2.2k citations
22 papers · 1.8k · h-index 17

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Renal Transplantation Outcomes and Treatments 6
    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 3
    • T-cell and B-cell Immunology 3

Debra D. Bloom

21 papers receiving 1.8k citations

Peers

Debra D. Bloom
Comparison fields: 5 of 84
  • Transplantation 395
  • Immunology 705
  • Genetics 280
  • Oncology 298
  • Surgery 384
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Gordon D. Wu United States
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Shuiping Jiang United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Debra D. Bloom

Since Specialization
Citations

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

Fields of papers citing papers by Debra D. Bloom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debra D. Bloom. 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 Debra D. Bloom. The network helps show where Debra D. Bloom may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003332
2 2004291
3 2003250
4 2016192
5 2014136
6 200486
7 201481
8 200674
9 200472
10 201758
11 200449
12 198740
13 201639
14 200728
15 199925
16 201224
17 199419
18 20189
19
Bortezomib as a rescue therapy for hyperacute and multi-drug resistant mixed acute rejection after kidney transplantation.
20098
20 20165

About Debra D. Bloom

Debra D. Bloom is a scholar working on Transplantation, Immunology, Genetics, Oncology and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 1.8k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (6 papers), Mesenchymal stem cell research (4 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (3 papers), Ubiquitin and proteasome pathways (3 papers), Neuropeptides and Animal Physiology (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Transplantation (395 citations), Immunology (705 citations), Genetics (280 citations), Oncology (298 citations) and Surgery (384 citations). Debra D. Bloom has collaborated with scholars based in United States, Austria and Canada. Frequent co-authors include Peiman Hematti, Stuart J. Knechtle, John H. Fechner, Huaizhong Hu, Claire L. L. Holness, Luis R. B. Soares, C. Garrison Fathman, Christine M. Seroogy, Jaehyup Kim and Hans W. Sollinger. Their work appears in journals such as Transplantation, Cytotherapy, Immunity, Journal of Clinical Apheresis and American Journal of Transplantation.

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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