Daniel Zlott

1.2k total citations
8 papers, 616 citations indexed

About

Daniel Zlott is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Daniel Zlott has authored 8 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Daniel Zlott's work include CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (3 papers) and Pluripotent Stem Cells Research (1 paper). Daniel Zlott is often cited by papers focused on CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (3 papers) and Pluripotent Stem Cells Research (1 paper). Daniel Zlott collaborates with scholars based in United States and Malaysia. Daniel Zlott's co-authors include Richard M. Sherry, James C. Yang, Steven A. Rosenberg, Donald E. White, John R. Wunderlich, Udai S. Kammula, Russell C. Langan, Peter A. Prieto, Giao Q. Phan and Kathleen E. Morton and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and The Lancet Oncology.

In The Last Decade

Daniel Zlott

8 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Zlott United States	6	402	349	151	93	73	8	616
Arpita Mondal United States	9	205 0.5×	389 1.1×	184 1.2×	8 0.1×	16 0.2×	12	705
Monique K. van der Kooij Netherlands	9	180 0.4×	109 0.3×	84 0.6×	93 1.0×	10 0.1×	18	349
Radhika Kini United States	6	187 0.5×	357 1.0×	110 0.7×	4 0.0×	30 0.4×	7	623
Chun‐Sheng Yang China	14	63 0.2×	125 0.4×	99 0.7×	28 0.3×	16 0.2×	33	727
Manasa Madasu United States	5	178 0.4×	320 0.9×	98 0.6×	4 0.0×	19 0.3×	6	566
K. Nakata Japan	11	52 0.1×	74 0.2×	151 1.0×	105 1.1×	19 0.3×	38	491
Francesca Amoroso Italy	9	58 0.1×	109 0.3×	212 1.4×	9 0.1×	16 0.2×	13	586
Yuehan Gao China	10	33 0.1×	177 0.5×	154 1.0×	32 0.3×	15 0.2×	19	410
Scott D. Walter United States	10	103 0.3×	53 0.2×	124 0.8×	632 6.8×	10 0.1×	32	844
Claudia Priglinger Germany	14	31 0.1×	95 0.3×	257 1.7×	212 2.3×	28 0.4×	38	442

Countries citing papers authored by Daniel Zlott

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Zlott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Zlott

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Zlott. A scholar is included among the top collaborators of Daniel Zlott 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 Zlott. Daniel Zlott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Chandran, Smita S., Robert Somerville, James C. Yang, et al.. (2017). Treatment of metastatic uveal melanoma with adoptive transfer of tumour-infiltrating lymphocytes: a single-centre, two-stage, single-arm, phase 2 study. The Lancet Oncology. 18(6). 792–802. 202 indexed citations

2.

Goff, Stephanie L., Mark E. Dudley, Deborah E. Citrin, et al.. (2016). A randomized, prospective evaluation comparing intensity of lymphodepletion prior to adoptive transfer of tumor infiltrating lymphocytes for patients with metastatic melanoma.. Journal of Clinical Oncology. 34(15_suppl). 3006–3006. 4 indexed citations

3.

Zhang, Mary, Aarti Mathur, Yuwei Zhang, et al.. (2012). Mithramycin Represses Basal and Cigarette Smoke–Induced Expression of ABCG2 and Inhibits Stem Cell Signaling in Lung and Esophageal Cancer Cells. Cancer Research. 72(16). 4178–4192. 82 indexed citations

4.

Langan, Russell C., Peter A. Prieto, Richard M. Sherry, et al.. (2011). Assessment of Ovarian Function After Preparative Chemotherapy and Total Body Radiation for Adoptive Cell Therapy. Journal of Immunotherapy. 34(4). 397–402. 16 indexed citations

5.

Stewart, Douglas R., et al.. (2011). Oral Ketamine in the Palliative Care Setting. American Journal of Hospice and Palliative Medicine®. 29(4). 308–317. 24 indexed citations

6.

Dudley, Mark E., Colin Gross, Michelle M. Langhan, et al.. (2010). CD8+ Enriched “Young” Tumor Infiltrating Lymphocytes Can Mediate Regression of Metastatic Melanoma. Clinical Cancer Research. 16(24). 6122–6131. 245 indexed citations

7.

Zlott, Daniel, et al.. (2010). Mechanisms by Which Pharmacologic Agents May Contribute to Fatigue. PM&R. 2(5). 451–455. 42 indexed citations

8.

Reed, Karen L., et al.. (2007). Stars are aligning for public awareness of pharmacists as medication experts. Journal of the American Pharmacists Association. 47(3). 311–318. 1 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.

Explore authors with similar magnitude of impact