Georg Heß

13.9k total citations · 4 hit papers
192 papers, 6.6k citations indexed

About

Georg Heß is a scholar working on Pathology and Forensic Medicine, Oncology and Genetics. According to data from OpenAlex, Georg Heß has authored 192 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Pathology and Forensic Medicine, 62 papers in Oncology and 55 papers in Genetics. Recurrent topics in Georg Heß's work include Lymphoma Diagnosis and Treatment (93 papers), Chronic Lymphocytic Leukemia Research (54 papers) and Hepatitis B Virus Studies (33 papers). Georg Heß is often cited by papers focused on Lymphoma Diagnosis and Treatment (93 papers), Chronic Lymphocytic Leukemia Research (54 papers) and Hepatitis B Virus Studies (33 papers). Georg Heß collaborates with scholars based in Germany, United States and Italy. Georg Heß's co-authors include Dietmar Zdunek, Andreas Viardot, Ralf C. Bargou, Hugo A. Katus, Kerstin Kurz, Evangelos Giannitsis, Martin Schüler, Alfred M. Engel, Bertrand Coiffier and Karl‐Hermann Meyer zum Büschenfelde and has published in prestigious journals such as Science, New England Journal of Medicine and The Lancet.

In The Last Decade

Georg Heß

186 papers receiving 6.4k citations

Hit Papers

Tumor Regression in Cancer Patients by Very Low Doses of ... 2008 2026 2014 2020 2008 2009 2015 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Georg Heß Germany 39 2.2k 2.1k 1.4k 1.4k 1.2k 192 6.6k
Giovanni Barillari Italy 35 2.0k 0.9× 1000 0.5× 1.2k 0.8× 373 0.3× 1.1k 0.9× 141 6.0k
Luca Mazzucchelli Switzerland 46 4.8k 2.1× 2.5k 1.2× 827 0.6× 579 0.4× 1.8k 1.5× 179 10.8k
Frédéric Houssiau Belgium 41 1.2k 0.6× 993 0.5× 558 0.4× 385 0.3× 3.6k 3.0× 149 7.8k
Alessandro Pulsoni Italy 30 1.9k 0.9× 2.1k 1.0× 602 0.4× 1.2k 0.9× 524 0.4× 143 4.5k
Renato Fanin Italy 42 2.0k 0.9× 1.3k 0.6× 665 0.5× 1.4k 1.1× 1.2k 1.0× 226 6.6k
Bruno Varet France 37 1.4k 0.6× 1.1k 0.5× 554 0.4× 2.6k 1.9× 1.4k 1.2× 145 7.6k
Carlos E. Bacchi Brazil 37 2.2k 1.0× 1.6k 0.8× 960 0.7× 350 0.3× 418 0.3× 236 5.7k
Hans Tesch Germany 49 5.3k 2.4× 2.8k 1.3× 395 0.3× 985 0.7× 1.8k 1.5× 346 9.5k
Joachim R. Kalden Germany 44 1.2k 0.5× 829 0.4× 721 0.5× 963 0.7× 5.6k 4.6× 103 11.7k
Won Seog Kim South Korea 48 6.3k 2.8× 7.1k 3.4× 653 0.5× 1.8k 1.3× 3.0k 2.4× 462 10.8k

Countries citing papers authored by Georg Heß

Since Specialization
Citations

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

Fields of papers citing papers by Georg Heß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Heß

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Heß. A scholar is included among the top collaborators of Georg Heß 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 Georg Heß. Georg Heß 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.
Singer, Susanne, et al.. (2024). „Patient-reported outcomes“ in medizinischen Registern. PUBLISSO (German National Library of Medicine). 30(4). 304–311.
5.
Matasar, Matthew J., Nancy L. Bartlett, Mazyar Shadman, et al.. (2023). Mosunetuzumab Safety Profile in Patients With Relapsed/Refractory B-cell Non-Hodgkin Lymphoma: Clinical Management Experience From a Pivotal Phase I/II Trial. Clinical Lymphoma Myeloma & Leukemia. 24(4). 240–253. 10 indexed citations
6.
Nowakowski, Grzegorz S., Dok Hyun Yoon, Anthea Peters, et al.. (2022). Improved Efficacy of Tafasitamab plus Lenalidomide versus Systemic Therapies for Relapsed/Refractory DLBCL: RE-MIND2, an Observational Retrospective Matched Cohort Study. Clinical Cancer Research. 28(18). 4003–4017. 16 indexed citations
7.
Theobald, Matthias, et al.. (2022). Struggling with extensive informed consent procedures for cancer trials—is there even a benefit for the patients?. Supportive Care in Cancer. 30(8). 6593–6602. 1 indexed citations
8.
Moehler, Markus, et al.. (2021). Any progress in informed consenting for cancer treatment? Results from a cross sectional analysis at a comprehensive cancer center. Journal of Cancer Research and Clinical Oncology. 147(7). 2117–2126. 6 indexed citations
9.
Rule, Simon, Martin Dreyling, André Goy, et al.. (2019). Long-Term Outcomes with Ibrutinib Versus the Prior Regimen: A Pooled Analysis in Relapsed/Refractory (R/R) Mantle Cell Lymphoma (MCL) with up to 7.5 Years of Extended Follow-up. Blood. 134(Supplement_1). 1538–1538. 16 indexed citations
10.
O’Brien, Susan, Peter Hillmen, Steven Coutré, et al.. (2018). Safety Analysis of Four Randomized Controlled Studies of Ibrutinib in Patients With Chronic Lymphocytic Leukemia/Small Lymphocytic Lymphoma or Mantle Cell Lymphoma. Clinical Lymphoma Myeloma & Leukemia. 18(10). 648–657.e15. 63 indexed citations
12.
Dreyling, Martin, Igor Aurer, Sergio Cortelazzo, et al.. (2017). Treatment for patients with relapsed/refractory mantle cell lymphoma: European-based recommendations. Leukemia & lymphoma. 59(8). 1814–1828. 18 indexed citations
13.
O’Connor, Owen A., Steven M. Horwitz, Tamás Masszi, et al.. (2015). Belinostat in Patients With Relapsed or Refractory Peripheral T-Cell Lymphoma: Results of the Pivotal Phase II BELIEF (CLN-19) Study. Journal of Clinical Oncology. 33(23). 2492–2499. 386 indexed citations breakdown →
15.
Wierda, William G., Thomas J. Kipps, Jan Dürig, et al.. (2011). Chemoimmunotherapy with O-FC in previously untreated patients with chronic lymphocytic leukemia. Blood. 117(24). 6450–6458. 86 indexed citations
16.
Dinh, Wilfried, Reiner Füth, Mark Lankisch, et al.. (2011). Fator de diferenciação de crescimento 15: um novo biomarcador em pacientes com disfunção diastólica?. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 28 indexed citations
17.
Norozi, Kambiz, et al.. (2008). Intravenous luteinizing hormone‐releasing hormone has no effect on serum N‐terminal pro‐brain natriuretic peptide in children and adolescents. Pediatrics International. 51(2). 283–288. 4 indexed citations
18.
Williams, Carolyn, Donna Klinzman, Traci E. Yamashita, et al.. (2004). Persistent GB Virus C Infection and Survival in HIV-Infected Men. New England Journal of Medicine. 350(10). 981–990. 196 indexed citations
19.
Meuer, Stefan, Ulrich Moebius, Michael Manns, et al.. (1988). Clonal analysis of human T lymphocytes infiltrating the liver in chronic active hepatitis B and primary biliary cirrhosis. European Journal of Immunology. 18(9). 1447–1452. 60 indexed citations
20.
Kh, Meyer zum Büschenfelde, Walter Arnold, J. Knolle, & Georg Heß. (1976). [Immune response to HBsAg, HBcAg and e-antigen in patients with acute hepatitis and HBsAg carriers with and without liver diseases].. PubMed. 14(3). 365–77. 6 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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