Thomas M. Schmitt

5.6k citations
52 papers · 4.0k indexed · 1 hit paper · h-index 27
Topics
CAR-T cell therapy research (31 papers)Immunotherapy and Immune Responses (16 papers)Immune Cell Function and Interaction (14 papers)

In The Last Decade

Thomas M. Schmitt

49 papers receiving 4.0k citations

Hit Papers

Induction of T Cell Development from Hematopoietic Progen...20022026201020182002250500750

Peers

Thomas M. Schmitt
Comparison fields: 5 of 108
  • Immunology 2.4k
  • Oncology 1.8k
  • Molecular Biology 1.4k
  • Hematology 477
  • Genetics 425
Replace Philip D. King with:
Philip D. King United States
Hayley S. Ramshaw Australia
Igor Dolgalev United States
Marcus B. Valentine United States
Christoph Schaniel United States
Yutaka Hanazono Japan
Alexandra Ho Canada
Dan S. Kaufman United States
Elizabeth L. Buza United States
Fred Sablitzky United Kingdom
Thomas M. Schmitt relative to Philip D. King United States Philip D. King's profile →
Citations per field
00.5×2.9×
Philip D. King · 1×
Citations per year

Countries citing papers authored by Thomas M. Schmitt

Since Specialization
Citations

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

Fields of papers citing papers by Thomas M. Schmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas M. Schmitt. 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 Thomas M. Schmitt. The network helps show where Thomas M. Schmitt may publish in the future.

Co-authorship network of co-authors of Thomas M. Schmitt

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas M. Schmitt. A scholar is included among the top collaborators of Thomas M. Schmitt 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 Thomas M. Schmitt. Thomas M. Schmitt 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 0
3 0
4 143
5 24
6 6
7 151
8 242
9 42
10 54
11 15
12 58
13 5
14 21
15 203
16 260
17 329
18
Induction of T Cell Development from Hematopoietic Progenitor Cells by Delta-like-1 In Vitrobreakdown →
876
19 21
20 73

About Thomas M. Schmitt

Thomas M. Schmitt is a scholar working on Immunology, Oncology and Computer Graphics and Computer-Aided Design, having authored 52 papers that have together received 4.0k indexed citations. Recurring topics across this work include CAR-T cell therapy research (31 papers), Immunotherapy and Immune Responses (16 papers) and Immune Cell Function and Interaction (14 papers). The work is most often cited by research in Immunology (2.4k citations), Oncology (1.8k citations) and Hematology (477 citations). Thomas M. Schmitt has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Juan Carlos Zúñiga‐Pflücker, Philip D. Greenberg, Howard T. Petrie, Maria Ciofani, Renée F. de Pooter, Sarah K. Cho, Lynn L. Rumfelt, Sahba Tabrizifard, Matthew A. Gronski and Pamela S. Ohashi. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Journal of Clinical Oncology.

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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