D D Bloom

569 citations
7 papers · 514 · h-index 7

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • T-cell and B-cell Immunology 4
    • Immune Cell Function and Interaction 2
    • Immunodeficiency and Autoimmune Disorders 1
    • Renal Transplantation Outcomes and Treatments 2

D D Bloom

7 papers receiving 490 citations

Peers

D D Bloom
Comparison fields: 5 of 50
  • Transplantation 171
  • Immunology 345
  • Rheumatology 78
  • Radiology, Nuclear Medicine and Imaging 100
  • Hematology 33
Replace S Scholz with:
S Scholz Germany
Jane A. McCutcheon United States
Elizabeth A. Bidwell United Kingdom
C. Sharrock United Kingdom
Janne Ø. Bohnhorst Norway
Jean-François Séïté France
Solène Le Rond France
Julien Lion France
Enrico Curschellas Switzerland
Margot Van Mechelen Belgium
D D Bloom relative to S Scholz Germany S Scholz's profile →
Citations per field
00.5×5×10×15×20×24×
S Scholz · 1×
Citations per year

Countries citing papers authored by D D Bloom

Since Specialization
Citations

This map shows the geographic impact of D 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 D 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 D D Bloom more than expected).

Fields of papers citing papers by D D Bloom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside D 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 D D Bloom Line = papers co-authored together D D Bloom links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2008145
2 200981
3 199378
4 200868
5 199353
6 199645
7 199344

About D D Bloom

D D Bloom is a scholar working on Immunology, Transplantation, Radiology, Nuclear Medicine and Imaging, Physiology and Hematology, having authored 7 papers that have together received 514 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), T-cell and B-cell Immunology (4 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Immune Cell Function and Interaction (2 papers), Immunodeficiency and Autoimmune Disorders (1 paper), Adenosine and Purinergic Signaling (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Transplantation (171 citations), Immunology (345 citations), Rheumatology (78 citations), Radiology, Nuclear Medicine and Imaging (100 citations) and Hematology (33 citations). D D Bloom has collaborated with scholars based in United States. Frequent co-authors include Zhen Chang, Stuart J. Knechtle, Sandra Clarke, Julio Pascual, John H. Fechner, D S Pisetsky, Robert A. Eisenberg, Philip L. Cohen, J. Davignon and Wasim A. Dar. Their work appears in journals such as The Journal of Immunology 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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