Dan T. Vogl

17.9k citations
125 papers · 4.0k indexed · 1 hit paper · h-index 30
Topics
Multiple Myeloma Research and Treatments (77 papers)Protein Degradation and Inhibitors (23 papers)Cancer Treatment and Pharmacology (20 papers)
Journals
New England Journal of MedicineJournal of Clinical OncologySHILAP Revista de lepidopterología

In The Last Decade

Dan T. Vogl

118 papers receiving 3.9k citations

Hit Papers

Chimeric Antigen Receptor T Cells against CD19 for Multip...20152026201820222015100200300400

Peers

Dan T. Vogl
Comparison fields: 5 of 113
  • Molecular Biology 1.9k
  • Oncology 1.8k
  • Hematology 1.5k
  • Immunology 638
  • Epidemiology 469
Replace Simon J. Harrison with:
Simon J. Harrison Australia
Sung‐Soo Yoon South Korea
Maria Gavriatopoulou Greece
Gerard M.J. Bos Netherlands
R. M. Fox Australia
T J McElwain United Kingdom
Howard Ozer United States
James H. Feusner United States
Victor M. Santana United States
Yaddanapudi Ravindranath United States
Dan T. Vogl relative to Simon J. Harrison Australia Simon J. Harrison's profile →
Citations per field
00.5×1.5×
Simon J. Harrison · 1×
Citations per year

Countries citing papers authored by Dan T. Vogl

Since Specialization
Citations

This map shows the geographic impact of Dan T. Vogl'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 T. Vogl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan T. Vogl more than expected).

Fields of papers citing papers by Dan T. Vogl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan T. Vogl

This figure shows the co-authorship network connecting the top 25 collaborators of Dan T. Vogl. A scholar is included among the top collaborators of Dan T. Vogl 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 Dan T. Vogl. Dan T. Vogl 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
#WorkIndexed citations
1 0
2 1
3 2
4 1
5 3
6 9
7 9
8 2
9 59
10 118
11 17
12 85
13 165
14 42
15 12
16 24
17 25
18 29
19 57
20 4

About Dan T. Vogl

Dan T. Vogl is a scholar working on Hematology, Oncology and Molecular Biology, having authored 125 papers that have together received 4.0k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (77 papers), Protein Degradation and Inhibitors (23 papers) and Cancer Treatment and Pharmacology (20 papers). The work is most often cited by research in Hematology (1.5k citations), Oncology (1.8k citations) and Immunology (638 citations). Dan T. Vogl has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Edward A. Stadtmauer, Adam D. Cohen, Alfred L. Garfall, Brendan M. Weiss, Wei‐Ting Hwang, William H. Redd, Meredith Smith, Carl H. June, Bruce L. Levine and J. Joseph Melenhorst. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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