Dan Levitt

840 citations
16 papers · 466 indexed · h-index 10

Impact in

    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Telomeres, Telomerase, and Senescence

Papers in

    • Reproductive System and Pregnancy 2
    • Immunotherapy and Immune Responses 2
    • Immune Cell Function and Interaction 2
    • Angiogenesis and VEGF in Cancer 3

Dan Levitt

16 papers receiving 440 citations

Peers

Dan Levitt
Comparison fields: 5 of 63
  • Immunology 189
  • Physiology 118
  • Oncology 119
  • Hepatology 34
  • Microbiology 26
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Citations per field
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Citations per year

Countries citing papers authored by Dan Levitt

Since Specialization
Citations

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

Fields of papers citing papers by Dan Levitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1997128
2 2005112
3 199057
4 200536
5 199935
6 199123
7 199319
8
Anti-VEGF Antibody HuMV833: an EORTC Biological Treatment Development Group Phase I Toxicity, Pharmacokinetic and Pharmacodynamic Study.
200117
9 198613
10 200610
11 20065
12 19874
13 20053
14
Interferon-alpha and interleukin-2 in the treatment of renal cell cancer.
19902
15
A single-gene difference associated with theophylline toxicity in mice
19791
16 20011

About Dan Levitt

Dan Levitt is a scholar working on Immunology, Molecular Biology, Oncology, Immunology and Allergy and Epidemiology, having authored 16 papers that have together received 466 indexed citations. Recurring topics across this work include Allergic Rhinitis and Sensitization (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Reproductive System and Pregnancy (2 papers), Immunotherapy and Immune Responses (2 papers), Reproductive tract infections research (2 papers), Immune Cell Function and Interaction (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Pediatric health and respiratory diseases (1 paper). The work is most often cited by research in Immunology (189 citations), Physiology (118 citations), Oncology (119 citations), Hepatology (34 citations) and Microbiology (26 citations). Dan Levitt has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include C. K. Osborne, Gary M. Clark, Feng Wu, Shelly McNeil, Joanne M. Langley, Gary Van Nest, Simon Dobson, Joseph Eiden, J. Zeffren and Daniel Gennevois. Their work appears in journals such as Journal of Allergy and Clinical Immunology, The Journal of Immunology, European Journal of Cancer, Journal of Immunotherapy and JNCI Journal of the National Cancer Institute.

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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