Gernot Beutel

6.1k total citations · 2 hit papers
79 papers, 2.9k citations indexed

About

Gernot Beutel is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Hematology. According to data from OpenAlex, Gernot Beutel has authored 79 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Oncology, 27 papers in Pulmonary and Respiratory Medicine and 26 papers in Hematology. Recurrent topics in Gernot Beutel's work include Neutropenia and Cancer Infections (13 papers), Hematopoietic Stem Cell Transplantation (12 papers) and Acute Myeloid Leukemia Research (11 papers). Gernot Beutel is often cited by papers focused on Neutropenia and Cancer Infections (13 papers), Hematopoietic Stem Cell Transplantation (12 papers) and Acute Myeloid Leukemia Research (11 papers). Gernot Beutel collaborates with scholars based in Germany, United States and Austria. Gernot Beutel's co-authors include Arnold Ganser, Matthias Kochanek, Michael Kiehl, Axel Haverich, Marius M. Hoeper, Jan T. Kielstein, Frank Kroschinsky, Friedrich Stölzel, Peter Schellongowski and Simone von Bonin and has published in prestigious journals such as Nature Medicine, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Gernot Beutel

72 papers receiving 2.9k citations

Hit Papers

align trajectories sort by overperformance

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.

New drugs, new toxicities: severe side effects of modern targeted and immunotherapy of cancer and their management

2017 331 citations Frank Kroschinsky, Gernot Beutel et al. profile →
GPT-4 for Information Retrieval and Comparison of Medical Oncology Guidelines

2024 47 citations Dyke Ferber, Isabella C. Wiest et al. NEJM AI profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gernot Beutel Germany	27	639	638	614	494	484	79	2.9k
Sarfraz Ahmad United States	34	214 0.3×	800 1.3×	712 1.2×	369 0.7×	1.2k 2.5×	223	4.0k
Walter S. Speidl Austria	34	221 0.3×	638 1.0×	229 0.4×	248 0.5×	894 1.8×	128	3.2k
Nicole D. Zantek United States	19	147 0.2×	582 0.9×	303 0.5×	766 1.6×	395 0.8×	67	2.9k
Joseph J. Shatzel United States	28	249 0.4×	173 0.3×	270 0.4×	829 1.7×	409 0.8×	156	2.7k
Zbigniew M. Szczepiorkowski United States	28	157 0.2×	683 1.1×	572 0.9×	1.4k 2.9×	496 1.0×	124	4.6k
Ingo Ahrens Germany	29	232 0.4×	552 0.9×	132 0.2×	406 0.8×	487 1.0×	98	2.7k
Henry M. Rinder United States	35	265 0.4×	344 0.5×	241 0.4×	1.6k 3.2×	921 1.9×	111	3.8k
Yves Castier France	34	322 0.5×	867 1.4×	319 0.5×	232 0.5×	1.8k 3.7×	193	4.7k
Konrad Höetzenecker Austria	32	762 1.2×	700 1.1×	636 1.0×	76 0.2×	1.5k 3.2×	216	3.6k
Ugolino Livi Italy	29	443 0.7×	311 0.5×	354 0.6×	176 0.4×	1.6k 3.4×	267	3.4k

Countries citing papers authored by Gernot Beutel

Since Specialization

Citations

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

Fields of papers citing papers by Gernot Beutel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gernot Beutel

This figure shows the co-authorship network connecting the top 25 collaborators of Gernot Beutel. A scholar is included among the top collaborators of Gernot Beutel 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 Gernot Beutel. Gernot Beutel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Cesaro, Simone, Per Ljungman, Małgorzata Mikulska, et al.. (2025). Post-pandemic recommendations for the management of COVID-19 in patients with haematological malignancies or undergoing cellular therapy, from the European Conference on Infections in Leukaemia (ECIL-10). Leukemia. 39(9). 2061–2071. 2 indexed citations

Framke, Theodor, Gernot Beutel, Arnold Ganser, Armin Koch, & Anika Großhennig. (2025). Randomization in phase II trials: No exemption based on sample size. British Journal of Clinical Pharmacology. 91(9). 2750–2754.

Gabdoulline, Razif, Rabia Shahswar, Arnold Kloos, et al.. (2024). Prognostic Impact of Subclinical FLT3-ITD Microclones in Patients with Acute Myeloid Leukemia. Blood. 144(Supplement 1). 847–847. 1 indexed citations

Ferber, Dyke, Isabella C. Wiest, Georg Wölflein, et al.. (2024). GPT-4 for Information Retrieval and Comparison of Medical Oncology Guidelines. NEJM AI. 1(6). 47 indexed citations breakdown →

Odak, Ivan, Lennart Riemann, J. Schneider, et al.. (2024). Brief research report: in-depth immunophenotyping reveals stability of CD19 CAR T-cells over time. Frontiers in Immunology. 15. 1298598–1298598. 2 indexed citations

Möhn, Nora, Lea Grote‐Levi, Tabea Seeliger, et al.. (2023). Monocyte chemoattractant protein 1 as a potential biomarker for immune checkpoint inhibitor‐associated neurotoxicity. Cancer Medicine. 12(8). 9373–9383. 18 indexed citations

Ayuk, Francis, Gernot Beutel, Olaf Penack, et al.. (2023). Data-driven grading of acute graft-versus-host disease. Nature Communications. 14(1). 7799–7799. 3 indexed citations

Stadler, Michael, Razif Gabdoulline, Piroska Klement, et al.. (2023). MRD as Biomarker for Response to Donor Lymphocyte Infusion after Allogeneic Hematopoietic Cell Transplantation in Patients with AML. Cancers. 15(15). 3911–3911. 5 indexed citations

Stadler, Michael, Letizia Venturini, Elke Dammann, et al.. (2022). Navigating preemptive and therapeutic donor lymphocyte infusions in advanced myeloid malignancies by high-sensitivity chimerism analysis. Frontiers in Oncology. 12. 867356–867356. 6 indexed citations

10.

Cesaro, Simone, Per Ljungman, Małgorzata Mikulska, et al.. (2022). Recommendations for the management of COVID-19 in patients with haematological malignancies or haematopoietic cell transplantation, from the 2021 European Conference on Infections in Leukaemia (ECIL 9). Leukemia. 36(6). 1467–1480. 63 indexed citations

11.

Möhn, Nora, Lea Grote‐Levi, Victoria Panagiota, et al.. (2022). Neurological management and work-up of neurotoxicity associated with CAR T cell therapy. SHILAP Revista de lepidopterología. 4(1). 1–1. 18 indexed citations

12.

Lueck, Catherina, Philipp Wohlfarth, Michael Kiehl, et al.. (2022). Impact of chronic graft-versus-host-disease on intensive care outcome in allogeneic hematopoietic stem cell recipients. Bone Marrow Transplantation. 58(3). 303–310. 3 indexed citations

13.

Möhn, Nora, Kurt‐Wolfram Sühs, Martin Stangel, et al.. (2021). Checkpoint inhibitor–induced autoimmune central nervous system disorder in patients with metastatic melanoma and Hodgkin’s lymphoma. Clinical and Experimental Neuroimmunology. 12(2). 127–134. 1 indexed citations

14.

Tometten, Lukas, Stefan Borgmann, Jochen Schneider, et al.. (2020). COVID-19 in cancer patients: Clinical characteristics and outcome - a first analysis of the LEOSS registry. Kölner Universitäts PublikationsServer (Universität zu Köln).

15.

Möhn, Nora, Ralf Gutzmer, Imke Satzger, et al.. (2020). Diagnosis and Differential Diagnosis of Neurological Adverse Events during Immune Checkpoint Inhibitor Therapy. Journal of Oncology. 2020. 1–9. 7 indexed citations

16.

Derlin, Thorsten, Christian Schultze‐Florey, Rudolf A. Werner, et al.. (2020). 18F-FDG PET/CT of off-target lymphoid organs in CD19-targeting chimeric antigen receptor T-cell therapy for relapsed or refractory diffuse large B-cell lymphoma. Annals of Nuclear Medicine. 35(1). 132–138. 21 indexed citations

17.

Kochanek, Matthias, Alexander Shimabukuro‐Vornhagen, Gernot Beutel, et al.. (2019). Prävalenz von Krebspatienten auf deutschen Intensivstationen. Medizinische Klinik - Intensivmedizin und Notfallmedizin. 115(4). 312–319. 8 indexed citations

18.

Ivanyi, Philipp, Gernot Beutel, Jan T. Kielstein, et al.. (2016). Therapy of Treatment-Related Hypertension in Metastatic Renal-Cell Cancer Patients Receiving Sunitinib. Clinical Genitourinary Cancer. 15(2). 280–290.e3. 6 indexed citations

19.

Weissinger, Eva M., Sylvia Borchers, Elena Provasi, et al.. (2015). Long term follow up of patients after allogeneic stem cell transplantation and transfusion of HSV-TK transduced T-cells. Frontiers in Pharmacology. 6. 76–76. 13 indexed citations

20.

Sarikouch, Samir, Thomas Breymann, Serghei Cebotari, et al.. (2013). Early Systemic Cellular Immune Response in Children and Young Adults Receiving Decellularized Fresh Allografts for Pulmonary Valve Replacement. Tissue Engineering Part A. 20(5-6). 1003–1011. 59 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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