Philipp M. Roessner

725 total citations
20 papers, 406 citations indexed

About

Philipp M. Roessner is a scholar working on Genetics, Immunology and Oncology. According to data from OpenAlex, Philipp M. Roessner has authored 20 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 13 papers in Immunology and 9 papers in Oncology. Recurrent topics in Philipp M. Roessner's work include Chronic Lymphocytic Leukemia Research (15 papers), Immune Cell Function and Interaction (7 papers) and CAR-T cell therapy research (5 papers). Philipp M. Roessner is often cited by papers focused on Chronic Lymphocytic Leukemia Research (15 papers), Immune Cell Function and Interaction (7 papers) and CAR-T cell therapy research (5 papers). Philipp M. Roessner collaborates with scholars based in Germany, Spain and United States. Philipp M. Roessner's co-authors include Martina Seiffert, Stephan Stilgenbauer, Bola S. Hanna, Peter Lichter, Selcen Öztürk, Laura Llaó Cid, Dolors Colomer, Annika Scheffold, Billy Michael Chelliah Jebaraj and Sascha Dietrich and has published in prestigious journals such as Blood, Cancer Research and Frontiers in Immunology.

In The Last Decade

Philipp M. Roessner

20 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philipp M. Roessner Germany 11 269 221 171 137 97 20 406
Margot Jak Netherlands 8 209 0.8× 199 0.9× 149 0.9× 116 0.8× 89 0.9× 23 394
Ethan Strattan United States 6 154 0.6× 186 0.8× 117 0.7× 113 0.8× 49 0.5× 12 314
Noelia Purroy Spain 10 159 0.6× 123 0.6× 88 0.5× 136 1.0× 113 1.2× 18 334
Paola Nanni Italy 10 164 0.6× 178 0.8× 96 0.6× 174 1.3× 60 0.6× 13 305
Elsa Maître France 10 199 0.7× 117 0.5× 64 0.4× 146 1.1× 80 0.8× 25 266
Davide Bagnara United States 12 253 0.9× 345 1.6× 106 0.6× 164 1.2× 106 1.1× 29 511
Alexandra Savell United States 7 143 0.5× 72 0.3× 98 0.6× 111 0.8× 78 0.8× 15 240
Lucia Savino Italy 8 185 0.7× 166 0.8× 54 0.3× 97 0.7× 53 0.5× 9 306
Gandhi Damaj France 8 78 0.3× 177 0.8× 81 0.5× 79 0.6× 70 0.7× 16 288
Pamela Ranghetti Italy 9 130 0.5× 168 0.8× 69 0.4× 73 0.5× 70 0.7× 20 284

Countries citing papers authored by Philipp M. Roessner

Since Specialization
Citations

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

Fields of papers citing papers by Philipp M. Roessner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp M. Roessner

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp M. Roessner. A scholar is included among the top collaborators of Philipp M. Roessner 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 Philipp M. Roessner. Philipp M. Roessner 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.
2.
Wind, Sven, et al.. (2025). Abstract LB298: The effect of food on zongertinib plasma exposure in healthy volunteers. Cancer Research. 85(8_Supplement_2). LB298–LB298. 1 indexed citations
3.
Roider, Tobias, Norman Mack, Peter‐Martin Bruch, et al.. (2024). CD20-bispecific antibodies improve response to CD19-CAR T cells in lymphoma in vitro and CLL in vivo models. Blood. 144(7). 784–789. 7 indexed citations
4.
Roessner, Philipp M., et al.. (2024). The effect of carbamazepine, a strong CYP3A inducer, on the pharmacokinetics of zongertinib in healthy male volunteers. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 45(2). 94–103. 2 indexed citations
5.
Schneider, Christof, et al.. (2023). Simultaneous Inhibition of PI3Kgamma and PI3Kdelta Deteriorates T-cell Function With Implications for Chronic Lymphocytic Leukemia. HemaSphere. 7(3). e840–e840. 8 indexed citations
6.
Pagano, Giulia, Philipp M. Roessner, Nikolaos Ioannou, et al.. (2023). Interleukin-27 potentiates CD8+ T-cell-mediated antitumor immunity in chronic lymphocytic leukemia. Haematologica. 108(11). 3011–3024. 7 indexed citations
7.
Roessner, Philipp M., Laura Llaó Cid, Tobias Roider, et al.. (2021). EOMES and IL-10 regulate antitumor activity of T regulatory type 1 CD4+ T cells in chronic lymphocytic leukemia. Leukemia. 35(8). 2311–2324. 30 indexed citations
8.
Cid, Laura Llaó, Philipp M. Roessner, Vicente Chapaprieta, et al.. (2021). EOMES is essential for antitumor activity of CD8+ T cells in chronic lymphocytic leukemia. Leukemia. 35(11). 3152–3162. 29 indexed citations
9.
Öztürk, Selcen, Irene Gil-Fariña, Anna Jauch, et al.. (2021). Longitudinal analyses of CLL in mice identify leukemia-related clonal changes including a Myc gain predicting poor outcome in patients. Leukemia. 36(2). 464–475. 6 indexed citations
10.
Öztürk, Selcen, Verena Kalter, Philipp M. Roessner, Murat Sünbül, & Martina Seiffert. (2021). IDO1-Targeted Therapy Does Not Control Disease Development in the Eµ-TCL1 Mouse Model of Chronic Lymphocytic Leukemia. Cancers. 13(8). 1899–1899. 8 indexed citations
11.
12.
Jebaraj, Billy Michael Chelliah, Philipp M. Roessner, Felix Seyfried, et al.. (2021). Evaluation of vecabrutinib as a model for noncovalent BTK/ITK inhibition for treatment of chronic lymphocytic leukemia. Blood. 139(6). 859–875. 23 indexed citations
13.
Roider, Tobias, Vladislav Kim, Carolin Kolb, et al.. (2021). An autologous culture model of nodal B-cell lymphoma identifies ex vivo determinants of response to bispecific antibodies. Blood Advances. 5(23). 5060–5071. 10 indexed citations
14.
Roessner, Philipp M. & Martina Seiffert. (2020). T-cells in chronic lymphocytic leukemia: Guardians or drivers of disease?. Leukemia. 34(8). 2012–2024. 79 indexed citations
15.
Hanna, Bola S., Philipp M. Roessner, Ralph Schulz, et al.. (2020). Combining ibrutinib and checkpoint blockade improves CD8+ T-cell function and control of chronic lymphocytic leukemia in Em-TCL1 mice. Haematologica. 106(4). 968–977. 31 indexed citations
16.
Tóth, Réka, Naveed Ishaque, Karsten Rippe, et al.. (2020). Methylome-based cell-of-origin modeling (Methyl-COOM) identifies aberrant expression of immune regulatory molecules in CLL. Genome Medicine. 12(1). 29–29. 14 indexed citations
17.
Roessner, Philipp M., Bola S. Hanna, Selcen Öztürk, et al.. (2019). TBET‐expressing Th1 CD4+T cells accumulate in chronic lymphocytic leukaemia without affecting disease progression in Eµ‐TCL1 mice. British Journal of Haematology. 189(1). 133–145. 13 indexed citations
18.
Cid, Laura Llaó, Bola S. Hanna, Murat Iskar, et al.. (2019). CD8+ T-cells of CLL-bearing mice acquire a transcriptional program of T-cell activation and exhaustion. Leukemia & lymphoma. 61(2). 351–356. 16 indexed citations
19.
Hanna, Bola S., Philipp M. Roessner, Dolors Colomer, et al.. (2018). Control of chronic lymphocytic leukemia development by clonally-expanded CD8+ T-cells that undergo functional exhaustion in secondary lymphoid tissues. Leukemia. 33(3). 625–637. 55 indexed citations
20.
Hanna, Bola S., Philipp M. Roessner, Annika Scheffold, et al.. (2018). PI3Kδ inhibition modulates regulatory and effector T-cell differentiation and function in chronic lymphocytic leukemia. Leukemia. 33(6). 1427–1438. 49 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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