Gamal-Andre Banat

2.0k total citations · 1 hit paper
12 papers, 1.4k citations indexed

About

Gamal-Andre Banat is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Gamal-Andre Banat has authored 12 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Gamal-Andre Banat's work include Immunotherapy and Immune Responses (4 papers), Lymphoma Diagnosis and Treatment (3 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). Gamal-Andre Banat is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), Lymphoma Diagnosis and Treatment (3 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). Gamal-Andre Banat collaborates with scholars based in Germany, United States and Switzerland. Gamal-Andre Banat's co-authors include Mathias Rummel, Gerhard Heil, Juergen Barth, Christoph Losem, Christina Balser, Wolfram Brugger, Harald Balló, Manfred Welslau, Ulrich von Grünhagen and Dorothea Kofahl-Krause and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and Blood.

In The Last Decade

Gamal-Andre Banat

12 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

Bendamustine plus rituximab versus CHOP plus rituximab as first-line treatment for patients with indolent and mantle-cell lymphomas: an open-label, multicentre, randomised, phase 3 non-inferiority trial

2013 962 citations Mathias Rummel, N. Niederle et al. The Lancet profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gamal-Andre Banat Germany	10	890	726	534	230	210	12	1.4k
Heike Horn Germany	19	1.0k 1.2×	822 1.1×	487 0.9×	144 0.6×	353 1.7×	57	1.5k
KA MacLennan United Kingdom	16	1.2k 1.3×	912 1.3×	428 0.8×	310 1.3×	443 2.1×	29	2.0k
Monica Bellei Italy	20	1.3k 1.5×	867 1.2×	314 0.6×	156 0.7×	166 0.8×	43	1.6k
Tara Baetz Canada	20	514 0.6×	904 1.2×	261 0.5×	391 1.7×	317 1.5×	71	1.5k
Francesco Turturro United States	19	546 0.6×	637 0.9×	253 0.5×	159 0.7×	580 2.8×	64	1.4k
Jae‐Yong Kwak South Korea	21	468 0.5×	398 0.5×	263 0.5×	103 0.4×	233 1.1×	115	1.3k
Hwee‐Yong Yap United States	18	149 0.2×	765 1.1×	271 0.5×	398 1.7×	204 1.0×	31	1.3k
Verena Hug United States	16	345 0.4×	767 1.1×	69 0.1×	186 0.8×	234 1.1×	44	1.4k
Marlies H.G. Langenberg Netherlands	15	128 0.1×	749 1.0×	77 0.1×	417 1.8×	604 2.9×	34	1.3k
Cristian Massacesi Italy	20	188 0.2×	1.6k 2.3×	245 0.5×	1.1k 4.7×	984 4.7×	67	2.4k

Countries citing papers authored by Gamal-Andre Banat

Since Specialization

Citations

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

Fields of papers citing papers by Gamal-Andre Banat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gamal-Andre Banat. 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 Gamal-Andre Banat. The network helps show where Gamal-Andre Banat may publish in the future.

Co-authorship network of co-authors of Gamal-Andre Banat

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

All Works

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12 of 12 papers shown

Rummel, Mathias, N. Niederle, Georg Maschmeyer, et al.. (2013). Bendamustine plus rituximab versus CHOP plus rituximab as first-line treatment for patients with indolent and mantle-cell lymphomas: an open-label, multicentre, randomised, phase 3 non-inferiority trial. The Lancet. 381(9873). 1203–1210. 962 indexed citations breakdown →

Kosanovic, Djuro, Bhola K. Dahal, Małgorzata Wygrecka, et al.. (2013). Mast cell chymase: an indispensable instrument in the pathological symphony of idiopathic pulmonary fibrosis?. PubMed. 28(6). 691–9. 15 indexed citations

Rummel, Mathias, N. Niederle, Georg Maschmeyer, et al.. (2012). Subanalysis of the StiL NHL 1–2003 Study: Achievement of Complete Response with Bendamustine-Rituximab (B-R) and CHOP-R in the First-Line Treatment of Indolent and Mantle Cell Lymphomas Results in Superior Survival Compared to Partial Response.. Blood. 120(21). 2724–2724. 1 indexed citations

Savai, Rajkumar, Soni Savai Pullamsetti, Gamal-Andre Banat, et al.. (2009). Targeting cancer with phosphodiesterase inhibitors. Expert Opinion on Investigational Drugs. 19(1). 117–131. 117 indexed citations

Dahal, Bhola K., Aleksandra Tretyn, Soni Savai Pullamsetti, et al.. (2009). Role of Epidermal Growth Factor Inhibition in Experimental Pulmonary Hypertension. American Journal of Respiratory and Critical Care Medicine. 181(2). 158–167. 105 indexed citations

Lai, Ying‐Ju, Soni Savai Pullamsetti, Eva Dony, et al.. (2008). Role of the Prostanoid EP4 Receptor in Iloprost-mediated Vasodilatation in Pulmonary Hypertension. American Journal of Respiratory and Critical Care Medicine. 178(2). 188–196. 74 indexed citations

Savai, Rajkumar, Ralph T. Schermuly, Soni Savai Pullamsetti, et al.. (2007). A Combination Hybrid-Based Vaccination/Adoptive Cellular Therapy to Prevent Tumor Growth by Involvement of T Cells. Cancer Research. 67(11). 5443–5453. 21 indexed citations

Mey, Ulrich, Ingo G.H. Schmidt‐Wolf, Carsten Ziske, et al.. (2007). Pegfilgrastim as hematopoietic support for dose-dense chemoimmunotherapy with R-CHOP-14 as first-line therapy in elderly patients with diffuse large B cell lymphoma. Supportive Care in Cancer. 15(7). 877–884. 24 indexed citations

Savai, Rajkumar, Ralph T. Schermuly, Michael Schneider, et al.. (2006). Hybrid-Primed Lymphocytes and Hybrid Vaccination Prevent Tumor Growth of Lewis Lung Carcinoma in Mice. Journal of Immunotherapy. 29(2). 175–187. 10 indexed citations

10.

Mey, Ulrich, Carsten Ziske, Helmut Forstbauer, et al.. (2006). Pharmacokinetics and efficacy of pegfilgrastim as hematopoietic support for dose-dense every-2-week chemo-immunotherapy with R-CHOP as first-line therapy in elderly patients with diffuse large B cell lymphoma. Journal of Clinical Oncology. 24(18_suppl). 17531–17531. 2 indexed citations

11.

Banat, Gamal-Andre, Oliver Christ, B. Cochlovius, H. Pralle, & Margot Zöller. (2001). Tumour-induced suppression of immune response and its correction. Cancer Immunology Immunotherapy. 49(11). 573–586. 17 indexed citations

12.

Banat, Gamal-Andre, et al.. (1998). Antigen loss variants of a murine renal cell carcinoma: Implications for tumor vaccination. International Journal of Cancer. 77(1). 114–122. 14 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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