Susanne Hofmann

1.1k total citations
36 papers, 757 citations indexed

About

Susanne Hofmann is a scholar working on Oncology, Hematology and Immunology. According to data from OpenAlex, Susanne Hofmann has authored 36 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 20 papers in Hematology and 17 papers in Immunology. Recurrent topics in Susanne Hofmann's work include CAR-T cell therapy research (19 papers), Acute Myeloid Leukemia Research (13 papers) and Immune Cell Function and Interaction (9 papers). Susanne Hofmann is often cited by papers focused on CAR-T cell therapy research (19 papers), Acute Myeloid Leukemia Research (13 papers) and Immune Cell Function and Interaction (9 papers). Susanne Hofmann collaborates with scholars based in Germany, United States and United Kingdom. Susanne Hofmann's co-authors include Michael Schmitt, Jochen Greiner, Anita Schmitt, Hartmut Döhner, Marlies Götz, Maria‐Luisa Schubert, Peter Dreger, Carsten Müller‐Tidow, Lei Wang and Donald Bunjes and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Susanne Hofmann

36 papers receiving 746 citations

Peers

Susanne Hofmann
Sunil S. Raikar United States
Margot J. Pont United States
Paul W. Eldridge United States
Jos Melenhorst United States
Susanne Hofmann
Citations per year, relative to Susanne Hofmann Susanne Hofmann (= 1×) peers Mireya Paulina Velasquez

Countries citing papers authored by Susanne Hofmann

Since Specialization
Citations

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

Fields of papers citing papers by Susanne Hofmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanne Hofmann

This figure shows the co-authorship network connecting the top 25 collaborators of Susanne Hofmann. A scholar is included among the top collaborators of Susanne Hofmann 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 Susanne Hofmann. Susanne Hofmann 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.
Hofmann, Susanne. (2024). Infrastructure Megaprojects as World Erasers: Cultural Survival in the Context of the Tehuantepec Isthmus Interoceanic Corridor. Latin American Perspectives. 51(5). 140–163. 1 indexed citations
2.
Guinn, Barbara‐ann, Patrick J. Schuler, Hubert Schrezenmeier, et al.. (2023). A Combination of the Immunotherapeutic Drug Anti-Programmed Death 1 with Lenalidomide Enhances Specific T Cell Immune Responses against Acute Myeloid Leukemia Cells. International Journal of Molecular Sciences. 24(11). 9285–9285. 4 indexed citations
3.
Greiner, Jochen, Patrick J. Schuler, Susanne Hofmann, et al.. (2022). Enhanced stimulation of antigen‐specific immune responses against nucleophosmin 1 mutated acute myeloid leukaemia by an anti‐programmed death 1 antibody. British Journal of Haematology. 198(5). 866–874. 12 indexed citations
4.
Laux, Gunter, Asarnusch Rashid, Karl Georg Hæusler, et al.. (2021). Stroke Angel: Effect of Telemedical Prenotification on In-Hospital Delays and Systemic Thrombolysis in Acute Stroke Patients. Cerebrovascular Diseases. 50(4). 420–428. 11 indexed citations
6.
Greiner, Jochen, Vanessa Schneider, Hubert Schrezenmeier, Susanne Hofmann, & Marlies Götz. (2021). Enhanced Stimulation of Antigen-Specific Immune Responses Against NPM1-Mutated AML. Blood. 138(Supplement 1). 1292–1292. 1 indexed citations
7.
Greiner, Jochen, Marlies Götz, Susanne Hofmann, et al.. (2020). Specific T-cell immune responses against colony-forming cells including leukemic progenitor cells of AML patients were increased by immune checkpoint inhibition. Cancer Immunology Immunotherapy. 69(4). 629–640. 12 indexed citations
8.
Kunz, Alexander, Ulrike Gern, Anita Schmitt, et al.. (2020). Optimized Assessment of qPCR-Based Vector Copy Numbers as a Safety Parameter for GMP-Grade CAR T Cells and Monitoring of Frequency in Patients. Molecular Therapy — Methods & Clinical Development. 17. 448–454. 28 indexed citations
9.
Greiner, Jochen, Marlies Götz, Donald Bunjes, Susanne Hofmann, & Verena Wais. (2019). Immunological and Clinical Impact of Manipulated and Unmanipulated DLI after Allogeneic Stem Cell Transplantation of AML Patients. Journal of Clinical Medicine. 9(1). 39–39. 20 indexed citations
10.
11.
Hofmann, Susanne, Michael Schmitt, Marlies Götz, et al.. (2018). Donor lymphocyte infusion leads to diversity of specific T cell responses and reduces regulatory T cell frequency in clinical responders. International Journal of Cancer. 144(5). 1135–1146. 10 indexed citations
12.
Lückerath, Katharina, Samuel Samnick, Götz Ulrich Grigoleit, et al.. (2018). Prognostic value of [18F]FDG-PET/CT in multiple myeloma patients before and after allogeneic hematopoietic cell transplantation. European Journal of Nuclear Medicine and Molecular Imaging. 45(10). 1694–1704. 22 indexed citations
13.
Hoffmann, Jean‐Marc, Maria‐Luisa Schubert, Lei Wang, et al.. (2018). Differences in Expansion Potential of Naive Chimeric Antigen Receptor T Cells from Healthy Donors and Untreated Chronic Lymphocytic Leukemia Patients. Frontiers in Immunology. 8. 1956–1956. 83 indexed citations
14.
Bohl, Stephan, Stephanie von Harsdorf, Medhanie Mulaw, et al.. (2016). Strong impact of extramedullary involvement in high-risk AML patients with active disease receiving the FLAMSA conditioning regimen for HSCT. Bone Marrow Transplantation. 51(7). 994–996. 4 indexed citations
15.
Hofmann, Susanne, Lisa Müller, Stephanie von Harsdorf, et al.. (2014). Survival Analysis in Patients with Multiple Myeloma after Allogeneic Hematopoietic Stem Cell Transplantation, a Single Center Study (1994-2013). Blood. 124(21). 1233–1233. 1 indexed citations
16.
Bullinger, Lars, Richard F. Schlenk, Marlies Götz, et al.. (2013). PRAME-Induced Inhibition of Retinoic Acid Receptor Signaling-Mediated Differentiation—A Possible Target for ATRA Response in AML without t(15;17). Clinical Cancer Research. 19(9). 2562–2571. 31 indexed citations
17.
Hofmann, Susanne & Jochen Greiner. (2011). Adoptive Immunotherapy after Allogeneic Hematopoietic Progenitor Cell Transplantation: New Perspectives for Transfusion Medicine. Transfusion Medicine and Hemotherapy. 38(3). 4–4. 4 indexed citations
18.
Greiner, Jochen, Anita Schmitt, Krzysztof Giannopoulos, et al.. (2010). High-dose RHAMM-R3 peptide vaccination for patients with acute myeloid leukemia, myelodysplastic syndrome and multiple myeloma. Haematologica. 95(7). 1191–1197. 104 indexed citations
19.
Hofmann, Susanne, et al.. (2010). Immunotherapy for Myeloproliferative Neoplasms (MPN). Current Cancer Drug Targets. 11(1). 72–84. 7 indexed citations
20.
Tschauner, C., Susanne Hofmann, & Christian Czerny. (1997). Hüftdysplasie. Der Orthopäde. 26(1). 89–89. 15 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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