David Venzon

31.2k total citations
402 papers, 21.3k citations indexed

About

David Venzon is a scholar working on Immunology, Oncology and Virology. According to data from OpenAlex, David Venzon has authored 402 papers receiving a total of 21.3k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Immunology, 105 papers in Oncology and 103 papers in Virology. Recurrent topics in David Venzon's work include HIV Research and Treatment (101 papers), Immune Cell Function and Interaction (64 papers) and Neuroendocrine Tumor Research Advances (40 papers). David Venzon is often cited by papers focused on HIV Research and Treatment (101 papers), Immune Cell Function and Interaction (64 papers) and Neuroendocrine Tumor Research Advances (40 papers). David Venzon collaborates with scholars based in United States, Italy and France. David Venzon's co-authors include Suresh H. Moolgavkar, Robert T. Jensen, Fathia Gibril, H. Richard Alexander, Marjorie Robert-Guroff, Jeffrey A. Norton, Douglas L. Fraker, John L. Doppman, McClellan M. Walther and William D. Figg and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

David Venzon

399 papers receiving 20.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Venzon United States 81 6.2k 5.8k 5.7k 4.6k 4.4k 402 21.3k
James J. Goedert United States 75 7.6k 1.2× 5.7k 1.0× 8.6k 1.5× 5.5k 1.2× 7.4k 1.7× 326 27.0k
H. Clifford Lane United States 77 7.1k 1.1× 3.7k 0.6× 10.5k 1.8× 14.5k 3.2× 12.1k 2.8× 309 42.5k
Robert Yarchoan United States 75 4.8k 0.8× 7.0k 1.2× 3.6k 0.6× 3.3k 0.7× 5.6k 1.3× 334 18.7k
Fu‐Sheng Wang China 54 5.5k 0.9× 3.0k 0.5× 5.2k 0.9× 3.4k 0.7× 714 0.2× 310 19.9k
Mario Roederer United States 97 7.3k 1.2× 5.5k 0.9× 20.3k 3.5× 9.8k 2.1× 7.7k 1.8× 347 36.9k
Dorothy H. Crawford Australia 64 5.7k 0.9× 6.0k 1.0× 3.5k 0.6× 3.0k 0.6× 2.3k 0.5× 318 17.4k
Genhong Cheng United States 88 4.6k 0.7× 4.0k 0.7× 15.2k 2.6× 11.9k 2.6× 993 0.2× 262 30.6k
Zheng Zhang China 55 4.4k 0.7× 1.9k 0.3× 4.8k 0.8× 3.3k 0.7× 562 0.1× 334 16.7k
Justin Stebbing United Kingdom 67 2.1k 0.3× 6.1k 1.0× 1.2k 0.2× 4.3k 0.9× 743 0.2× 524 14.8k
Hubert E. Blum Germany 78 9.9k 1.6× 2.2k 0.4× 3.1k 0.5× 3.8k 0.8× 1.4k 0.3× 339 19.3k

Countries citing papers authored by David Venzon

Since Specialization
Citations

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

Fields of papers citing papers by David Venzon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Venzon

This figure shows the co-authorship network connecting the top 25 collaborators of David Venzon. A scholar is included among the top collaborators of David Venzon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Venzon. David Venzon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fletcher, Rochelle, Natália Schneider, Michael T. Patterson, et al.. (2023). Posttransplantation cyclophosphamide expands functional myeloid-derived suppressor cells and indirectly influences Tregs. Blood Advances. 7(7). 1117–1129. 15 indexed citations
3.
Hait, Sabrina Helmold, Diego A. Vargas‐Inchaustegui, Thomas Musich, et al.. (2018). Early T Follicular Helper Cell Responses and Germinal Center Reactions Are Associated with Viremia Control in Immunized Rhesus Macaques. Journal of Virology. 93(4). 10 indexed citations
4.
Izhak, Liat, Elena Ambrosino, Shingo Kato, et al.. (2013). Delicate Balance among Three Types of T Cells in Concurrent Regulation of Tumor Immunity. Cancer Research. 73(5). 1514–1523. 45 indexed citations
5.
Amiri‐Kordestani, Laleh, Victoria Luchenko, Cody J. Peer, et al.. (2013). Phase I Trial of a New Schedule of Romidepsin in Patients with Advanced Cancers. Clinical Cancer Research. 19(16). 4499–4507. 57 indexed citations
6.
Noonan, Anne M., David J. Liewehr, Tristan M. Sissung, et al.. (2013). Electrocardiographic Studies of Romidepsin Demonstrate Its Safety and Identify a Potential Role for KATP Channel. Clinical Cancer Research. 19(11). 3095–3104. 39 indexed citations
7.
Thomas, Anish, Esther Mena, Karen Kurdziel, et al.. (2013). 18F-Fluorodeoxyglucose Positron Emission Tomography in the Management of Patients with Thymic Epithelial Tumors. Clinical Cancer Research. 19(6). 1487–1493. 19 indexed citations
8.
Peer, Cody J., Tristan M. Sissung, AeRang Kim, et al.. (2012). Sorafenib Is an Inhibitor of UGT1A1 but Is Metabolized by UGT1A9: Implications of Genetic Variants on Pharmacokinetics and Hyperbilirubinemia. Clinical Cancer Research. 18(7). 2099–2107. 108 indexed citations
9.
Gordon, Shari N., Valentina Cecchinato, Vibeke Andresen, et al.. (2011). Smallpox Vaccine Safety Is Dependent on T Cells and Not B Cells. The Journal of Infectious Diseases. 203(8). 1043–1053. 51 indexed citations
10.
Fenizia, Claudio, Brandon F. Keele, David P. Nichols, et al.. (2011). TRIM5α Does Not Affect Simian Immunodeficiency Virus SIV mac251 Replication in Vaccinated or Unvaccinated Indian Rhesus Macaques following Intrarectal Challenge Exposure. Journal of Virology. 85(23). 12399–12409. 31 indexed citations
12.
Sui, Yongjun, Qing Zhu, Susan J. Gagnon, et al.. (2010). Innate and adaptive immune correlates of vaccine and adjuvant-induced control of mucosal transmission of SIV in macaques. Proceedings of the National Academy of Sciences. 107(21). 9843–9848. 72 indexed citations
13.
Sissung, Tristan M., Erin R. Gardner, Richard Piekarz, et al.. (2010). Impact of ABCB1 Allelic Variants on QTc Interval Prolongation. Clinical Cancer Research. 17(4). 937–946. 24 indexed citations
14.
Jain, Lokesh, Craig Vargo, Romano Danesi, et al.. (2009). The role of vascular endothelial growth factor SNPs as predictive and prognostic markers for major solid tumors. Molecular Cancer Therapeutics. 8(9). 2496–2508. 146 indexed citations
15.
Terabe, Masaki, Elena Ambrosino, Shun Takaku, et al.. (2009). Synergistic Enhancement of CD8+ T Cell–Mediated Tumor Vaccine Efficacy by an Anti–Transforming Growth Factor-β Monoclonal Antibody. Clinical Cancer Research. 15(21). 6560–6569. 83 indexed citations
16.
Hamada, Akinobu, Tristan M. Sissung, Douglas K. Price, et al.. (2008). Effect of SLCO1B3 Haplotype on Testosterone Transport and Clinical Outcome in Caucasian Patients with Androgen-Independent Prostatic Cancer. Clinical Cancer Research. 14(11). 3312–3318. 153 indexed citations
18.
Chiou, Christine C., Andreas H. Groll, Corina Gonzalez, et al.. (2000). Esophageal candidiasis in pediatric acquired immunodeficiency syndrome: clinical manifestations and risk factors. The Pediatric Infectious Disease Journal. 19(8). 729–734. 24 indexed citations
19.
Johnson, Bruce E., et al.. (1997). A Prospective Study of Patients with Lung Cancer and Hyponatremia of Malignancy. American Journal of Respiratory and Critical Care Medicine. 156(5). 1669–1678. 52 indexed citations
20.
Moolgavkar, Suresh H. & David Venzon. (1987). Confidence regions for parameters of the proportional hazards model: a simulation study. Scandinavian Journal of Statistics. 14(1). 43–56. 8 indexed citations

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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