Thomas M. Schmitt

5.6k total citations · 1 hit paper
52 papers, 4.0k citations indexed

About

Thomas M. Schmitt is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Thomas M. Schmitt has authored 52 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Oncology, 30 papers in Immunology and 16 papers in Molecular Biology. Recurrent topics in Thomas M. Schmitt's work include CAR-T cell therapy research (31 papers), Immunotherapy and Immune Responses (16 papers) and Immune Cell Function and Interaction (14 papers). Thomas M. Schmitt is often cited by papers focused on CAR-T cell therapy research (31 papers), Immunotherapy and Immune Responses (16 papers) and Immune Cell Function and Interaction (14 papers). Thomas M. Schmitt collaborates with scholars based in United States, Canada and Germany. Thomas M. Schmitt's 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 and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Journal of Clinical Oncology.

In The Last Decade

Thomas M. Schmitt

49 papers receiving 4.0k citations

Hit Papers

Induction of T Cell Development from Hematopoietic Progen... 2002 2026 2010 2018 2002 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Induction of T Cell Development from Hematopoietic Progenitor Cells by Delta-like-1 In Vitro
    2002 876 citations Thomas M. Schmitt, Juan Carlos Zúñiga‐Pflücker Immunity profile →

Peers

Thomas M. Schmitt
Philip D. King United States
Christoph Schaniel United States
Hayley S. Ramshaw Australia
Steven L. Highfill United States
Guy Cinamon Israel
César Nombela‐Arrieta Switzerland
Carlos A. Ramos United States
Bernhard Gentner Italy
Huafeng Xie United States
Lynne Hartley Australia
Philip D. King United States
Thomas M. Schmitt
Citations per year, relative to Thomas M. Schmitt Thomas M. Schmitt (= 1×) peers Philip D. King

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
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Kinsella, Sinéad, Kelly M. McKenna, Francesco Mazziotta, et al.. (2023). Elevated Metabolite Secretion Facilitates a Treg-Mediated Immunosuppressive Microenvironment in the Solid Tumor. Blood. 142(Supplement 1). 3458–3458.
4.
Boulakirba, Sonia, Anja Pfeifer, Rana Mhaidly, et al.. (2018). IL-34 and CSF-1 display an equivalent macrophage differentiation ability but a different polarization potential. Scientific Reports. 8(1). 256–256. 143 indexed citations
5.
Schmitt, Thomas M., et al.. (2017). Generation of higher affinity T cell receptors by antigen-driven differentiation of progenitor T cells in vitro. Nature Biotechnology. 35(12). 1188–1195. 24 indexed citations
6.
Chapuis, Aude G., Daniel Egan, Merav Bar, et al.. (2016). EBV-Specific Donor Cells Transduced to Express a High-Affinity WT1 TCR Can Prevent Recurrence in Post-HCT Patients with High-Risk AML. Blood. 128(22). 1001–1001. 6 indexed citations
7.
Stromnes, Ingunn M., Thomas M. Schmitt, Ayaka Hulbert, et al.. (2015). T Cells Engineered against a Native Antigen Can Surmount Immunologic and Physical Barriers to Treat Pancreatic Ductal Adenocarcinoma. Cancer Cell. 28(5). 638–652. 151 indexed citations
8.
Chapuis, Aude G., Gunnar B. Ragnarsson, Hieu Nguyen, et al.. (2013). Transferred WT1-Reactive CD8 + T Cells Can Mediate Antileukemic Activity and Persist in Post-Transplant Patients. Science Translational Medicine. 5(174). 174ra27–174ra27. 242 indexed citations
9.
Aggen, David H., Adam S. Chervin, Thomas M. Schmitt, et al.. (2011). Single-chain VαVβ T-cell receptors function without mispairing with endogenous TCR chains. Gene Therapy. 19(4). 365–374. 42 indexed citations
10.
Pooter, Renée F. de, Thomas M. Schmitt, José Luís de la Pompa, et al.. (2006). Notch Signaling Requires GATA-2 to Inhibit Myelopoiesis from Embryonic Stem Cells and Primary Hemopoietic Progenitors. The Journal of Immunology. 176(9). 5267–5275. 54 indexed citations
11.
Pooter, Renée F. de, Thomas M. Schmitt, & Juan Carlos Zúñiga‐Pflücker. (2006). In Vitro Generation of T Lymphocytes From Embryonic Stem Cells. Humana Press eBooks. 330. 113–122. 15 indexed citations
12.
Wang, Duncheng, Marsela Braunstein, Thomas M. Schmitt, et al.. (2006). The Basic Helix-Loop-Helix Transcription Factor HEBAlt Is Expressed in Pro-T Cells and Enhances the Generation of T Cell Precursors. The Journal of Immunology. 177(1). 109–119. 58 indexed citations
13.
Zúñiga‐Pflücker, Juan Carlos & Thomas M. Schmitt. (2005). Unraveling the origin of lymphocyte progenitors. European Journal of Immunology. 35(7). 2016–2018. 5 indexed citations
14.
Schmitt, Thomas M. & Juan Carlos Zúñiga‐Pflücker. (2005). Thymus-Derived Signals Regulate Early T-Cell Development. Critical Reviews in Immunology. 25(2). 141–160. 21 indexed citations
15.
Ciofani, Maria, Thomas M. Schmitt, Alison M. Michie, et al.. (2004). Obligatory Role for Cooperative Signaling by Pre-TCR and Notch during Thymocyte Differentiation. The Journal of Immunology. 172(9). 5230–5239. 203 indexed citations
16.
Schmitt, Thomas M., Maria Ciofani, Howard T. Petrie, & Juan Carlos Zúñiga‐Pflücker. (2004). Maintenance of T Cell Specification and Differentiation Requires Recurrent Notch Receptor–Ligand Interactions. The Journal of Experimental Medicine. 200(4). 469–479. 260 indexed citations
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Schmitt, Thomas M. & Juan Carlos Zúñiga‐Pflücker. (2002). Induction of T Cell Development from Hematopoietic Progenitor Cells by Delta-like-1 In Vitro. Immunity. 17(6). 749–756. 876 indexed citations breakdown →
19.
Wehrmann, T., Thomas M. Schmitt, Nikos Stergiou, W. F. Caspary, & H Seifert. (2001). Topical Application of Nitrates onto the Papilla of Vater: Manometric and Clinical Results. Endoscopy. 33(4). 323–328. 21 indexed citations
20.
Michie, Alison M., James R. Carlyle, Thomas M. Schmitt, et al.. (2000). Clonal Characterization of a Bipotent T Cell and NK Cell Progenitor in the Mouse Fetal Thymus. The Journal of Immunology. 164(4). 1730–1733. 73 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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