D. V. Cramer

403 citations
15 papers · 356 · h-index 8

Impact in

    • Renal Transplantation Outcomes and Treatments
    • Xenotransplantation and immune response
    • Organ Transplantation Techniques and Outcomes
    • Transplantation: Methods and Outcomes

Papers in

D. V. Cramer

15 papers receiving 338 citations

Peers

D. V. Cramer
Comparison fields: 5 of 54
  • Transplantation 84
  • Surgery 197
  • Physiology 20
  • Immunology 87
  • Hepatology 10
Replace Frank V. Leopardi with:
Frank V. Leopardi United States
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Citations per field
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Citations per year

Countries citing papers authored by D. V. Cramer

Since Specialization
Citations

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

Fields of papers citing papers by D. V. Cramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 199263
2 199563
3 199062
4 199043
5 199242
6 199337
7 19939
8
Immunologic mechanisms of cardiac transplant rejection.
19908
9 19847
10
In vitro responses of BN strain inbred rats.
19817
11
Genetic aspects of cellular interactions in the immune response.
19866
12
Characterization of human antibodies that are cytotoxic to pig aortic endothelial cells.
19933
13
Analysis of the T-cell receptor V beta repertoire in rejecting rat cardiac allografts using a quantitative polymerase chain reaction.
19932
14
Distribution of xenogeneic target antigens detected by a monoclonal antibody capable of inducing hyperacute rejection of hamster cardiac xenografts in rats.
19942
15
Immunochemical characterization of the binding of human immunoglobulins to pig vascular endothelium.
19922

About D. V. Cramer

D. V. Cramer is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Immunology, Transplantation and Molecular Biology, having authored 15 papers that have together received 356 indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (6 papers), Organ Transplantation Techniques and Outcomes (5 papers), Xenotransplantation and immune response (5 papers), Viral Infections and Immunology Research (4 papers), T-cell and B-cell Immunology (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Pharmacological Effects of Natural Compounds (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Transplantation (84 citations), Surgery (197 citations), Physiology (20 citations), Immunology (87 citations) and Hepatology (10 citations). D. V. Cramer has collaborated with scholars based in United States. Frequent co-authors include L Makowka, F Chapman, Bruce Jaffee, Haval Shirwan, Chikao Yasunaga, M. Knoop, Elizabeth A. Jones, Thomas E. Starzl, Hong Sun and Shiguang Qian. Their work appears in journals such as Transplantation, The Journal of Immunology and PubMed.

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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