Daniel A. Zlotoff

3.9k total citations · 1 hit paper
48 papers, 1.5k citations indexed

About

Daniel A. Zlotoff is a scholar working on Oncology, Cardiology and Cardiovascular Medicine and Immunology. According to data from OpenAlex, Daniel A. Zlotoff has authored 48 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Oncology, 12 papers in Cardiology and Cardiovascular Medicine and 11 papers in Immunology. Recurrent topics in Daniel A. Zlotoff's work include Cancer Immunotherapy and Biomarkers (19 papers), T-cell and B-cell Immunology (8 papers) and Hematopoietic Stem Cell Transplantation (7 papers). Daniel A. Zlotoff is often cited by papers focused on Cancer Immunotherapy and Biomarkers (19 papers), T-cell and B-cell Immunology (8 papers) and Hematopoietic Stem Cell Transplantation (7 papers). Daniel A. Zlotoff collaborates with scholars based in United States, Hungary and Germany. Daniel A. Zlotoff's co-authors include Avinash Bhandoola, J. Jeremiah Bell, Tomas G. Neilan, Benjamin A. Schwarz, Hannah Gilman, Zsófia D. Drobni, Jingyi Gong, Kerry L. Reynolds, Amna Zafar and Sarah Hartmann and has published in prestigious journals such as New England Journal of Medicine, Circulation and Journal of Clinical Oncology.

In The Last Decade

Daniel A. Zlotoff

42 papers receiving 1.5k citations

Hit Papers

Association Between Immune Checkpoint Inhibitors With Car... 2020 2026 2022 2024 2020 100 200 300

Peers

Daniel A. Zlotoff
Randolph Hutter United States
Matthew J. Goldstein United States
Jay Tuttle United States
Jacco C. Karper Netherlands
Randolph Hutter United States
Daniel A. Zlotoff
Citations per year, relative to Daniel A. Zlotoff Daniel A. Zlotoff (= 1×) peers Randolph Hutter

Countries citing papers authored by Daniel A. Zlotoff

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Zlotoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Zlotoff. 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 Daniel A. Zlotoff. The network helps show where Daniel A. Zlotoff may publish in the future.

Co-authorship network of co-authors of Daniel A. Zlotoff

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Zlotoff. A scholar is included among the top collaborators of Daniel A. Zlotoff 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 Daniel A. Zlotoff. Daniel A. Zlotoff 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.
Li, Selena S., Masaki Funamoto, Antonia Kreso, et al.. (2025). Outcomes of donation after brain death heart transplantation from older donors: A contemporary analysis of the UNOS database. JHLT Open. 9. 100313–100313.
2.
Suero‐Abreu, Giselle Alexandra, Zsófia D. Drobni, Carlos A. Gongora, et al.. (2025). Immune Checkpoint Inhibitors, Atherosclerotic Cardiovascular Events, and Plaque Progression Among Women With Cancer. Journal of the American Heart Association. 15(6). e041925–e041925. 1 indexed citations
3.
Wu, Chia‐Yun, Sherin J. Rouhani, Ross D. Merkin, et al.. (2025). Predictors of Long‐Term Survival in Patients With Immune Checkpoint Inhibitor–Associated Myocarditis. Journal of the American Heart Association. 14(14). e038719–e038719. 1 indexed citations
4.
Sun, Virginia, Vineet K. Raghu, Chia‐Yun Wu, et al.. (2024). Abstract 4119426: Enhancing early detection of ICI myocarditis cases during hospitalization: A role for large language models. Circulation. 150(Suppl_1). 1 indexed citations
5.
Wu, Chia‐Yun, Leyre Zubiri, Sherin J. Rouhani, et al.. (2024). Predictors of long-term survival in immune checkpoint inhibitor (ICI)-associated myocarditis.. Journal of Clinical Oncology. 42(16_suppl). e24026–e24026. 2 indexed citations
6.
Kooshesh, Kameron, Brody H. Foy, Richard A. Baylis, et al.. (2024). Cancer Versus Cardiac Mortality Risk with Adult Thymectomy. Blood. 144(Supplement 1). 121–121.
7.
Quinaglia, Thiago, Zsófia D. Drobni, Jennifer E. Ho, et al.. (2023). Atrial and ventricular arrhythmias with immune checkpoint inhibitor therapy in patients without evidence of myocarditis. European Heart Journal. 44(Supplement_2). 3 indexed citations
8.
Zlotoff, Daniel A., et al.. (2023). DOUBLE JEOPARDY: ACUTE CARDIOMYOPATHY AFTER DOXORUBICIN AND CYCLOPHOSPHAMIDE ADMINISTRATION. Journal of the American College of Cardiology. 81(8). 3486–3486.
9.
Drobni, Zsófia D., Olivier Michielin, Thiago Quinaglia, et al.. (2022). Renin–angiotensin–aldosterone system inhibitors and survival in patients with hypertension treated with immune checkpoint inhibitors. European Journal of Cancer. 163. 108–118. 28 indexed citations
10.
Gongora, Carlos A., Zsófia D. Drobni, Amna Zafar, et al.. (2022). Sodium-Glucose Co-Transporter-2 Inhibitors and Cardiac Outcomes Among Patients Treated With Anthracyclines. JACC Heart Failure. 10(8). 559–567. 97 indexed citations
11.
Hassan, Malek, Magid Awadalla, Timothy C. Tan, et al.. (2022). Serial Measurement of Global Longitudinal Strain Among Women With Breast Cancer Treated With Proton Radiation Therapy: A Prospective Trial for 70 Patients. International Journal of Radiation Oncology*Biology*Physics. 115(2). 398–406. 10 indexed citations
12.
Yung, Anthony, et al.. (2021). What the Cardiologist Needs to Know About Cancer Immunotherapies and Complications. Current Treatment Options in Oncology. 22(6). 53–53. 3 indexed citations
13.
Alvi, Raza M., Zsófia D. Drobni, Amna Zafar, et al.. (2020). CARDIOVASCULAR AND CEREBROVASCULAR EVENTS AMONG PATIENTS RECEIVING IMMUNE CHECKPOINT INHIBITORS. Journal of the American College of Cardiology. 75(11). 36–36. 2 indexed citations
14.
Jones‐O’Connor, Maeve, Magid Awadalla, Daniel A. Zlotoff, et al.. (2019). Cardiotoxicity of Immune Checkpoint Inhibitors. Current Treatment Options in Cardiovascular Medicine. 21(7). 32–32. 36 indexed citations
15.
Obaldia, Maria Elena De, J. Jeremiah Bell, Xin Wang, et al.. (2013). T cell development requires constraint of the myeloid regulator C/EBP-α by the Notch target and transcriptional repressor Hes1. Nature Immunology. 14(12). 1277–1284. 73 indexed citations
16.
Zlotoff, Daniel A. & Avinash Bhandoola. (2011). Hematopoietic progenitor migration to the adult thymus. Annals of the New York Academy of Sciences. 1217(1). 122–138. 69 indexed citations
17.
Bell, J. Jeremiah, et al.. (2010). Eliciting the T cell fate with Notch. Seminars in Immunology. 22(5). 254–260. 19 indexed citations
18.
Bell, J. Jeremiah, et al.. (2009). Untangling the T branch of the hematopoiesis tree. Current Opinion in Immunology. 21(2). 121–126. 29 indexed citations
19.
Sambandam, Arivazhagan, J. Jeremiah Bell, Benjamin A. Schwarz, et al.. (2008). Progenitor migration to the thymus and T cell lineage commitment. Immunologic Research. 42(1-3). 65–74. 12 indexed citations
20.
Zlotoff, Daniel A., Benjamin A. Schwarz, & Avinash Bhandoola. (2008). The long road to the thymus: the generation, mobilization, and circulation of T-cell progenitors in mouse and man. Seminars in Immunopathology. 30(4). 371–382. 34 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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