Gregor Hoermann

7.5k total citations
145 papers, 3.0k citations indexed

About

Gregor Hoermann is a scholar working on Hematology, Immunology and Genetics. According to data from OpenAlex, Gregor Hoermann has authored 145 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Hematology, 53 papers in Immunology and 52 papers in Genetics. Recurrent topics in Gregor Hoermann's work include Mast cells and histamine (37 papers), Acute Myeloid Leukemia Research (35 papers) and Chronic Myeloid Leukemia Treatments (35 papers). Gregor Hoermann is often cited by papers focused on Mast cells and histamine (37 papers), Acute Myeloid Leukemia Research (35 papers) and Chronic Myeloid Leukemia Treatments (35 papers). Gregor Hoermann collaborates with scholars based in Austria, Germany and United States. Gregor Hoermann's co-authors include Peter Valent, Wolfgang R. Sperr, Georg Greiner, Matthias Mayerhofer, Sabine Cerny‐Reiterer, Harald Herrmann, Gregor Eisenwort, Katharina Blatt, Karoline V. Gleixner and Christine Mannhalter and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Gregor Hoermann

136 papers receiving 3.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gregor Hoermann 1.0k 962 770 763 525 145 3.0k
Ole Weis Bjerrum 956 0.9× 634 0.7× 848 1.1× 1.1k 1.4× 331 0.6× 117 2.4k
Hiroaki Niiro 713 0.7× 2.8k 2.9× 1.3k 1.7× 636 0.8× 843 1.6× 145 5.4k
Jay N. Lozier 1.1k 1.0× 371 0.4× 926 1.2× 397 0.5× 421 0.8× 65 2.6k
Eric H. Sasso 766 0.8× 2.0k 2.1× 698 0.9× 310 0.4× 291 0.6× 77 4.0k
Norma Maugeri 584 0.6× 1.5k 1.5× 852 1.1× 192 0.3× 172 0.3× 67 2.9k
Dora Pascual‐Salcedo 443 0.4× 1.5k 1.6× 777 1.0× 329 0.4× 487 0.9× 136 3.5k
Jasimuddin Ahamed 1.4k 1.4× 675 0.7× 900 1.2× 554 0.7× 300 0.6× 59 3.2k
David Hagerty 627 0.6× 1.6k 1.6× 412 0.5× 340 0.4× 380 0.7× 34 4.2k
Richard Aranda 654 0.6× 1.3k 1.3× 464 0.6× 393 0.5× 315 0.6× 37 3.2k
N. Miyasaka 532 0.5× 939 1.0× 420 0.5× 242 0.3× 406 0.8× 76 2.8k

Countries citing papers authored by Gregor Hoermann

Since Specialization
Citations

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

Fields of papers citing papers by Gregor Hoermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregor Hoermann

This figure shows the co-authorship network connecting the top 25 collaborators of Gregor Hoermann. A scholar is included among the top collaborators of Gregor Hoermann 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 Gregor Hoermann. Gregor Hoermann 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.
Klein, Klara R., Thorsten Klampfl, Jana Trifinopoulos, et al.. (2024). A lineage-specific STAT5B N642H mouse model to study NK-cell leukemia. Blood. 143(24). 2474–2489. 4 indexed citations
2.
Kaminski, Wolfgang E., et al.. (2024). Expert-level detection of M-proteins in serum protein electrophoresis using machine learning. Clinical Chemistry and Laboratory Medicine (CCLM). 62(12). 2498–2506. 2 indexed citations
3.
Bauer, Karin, Alexander W. Hauswirth, Karoline V. Gleixner, et al.. (2024). BRD4 degraders may effectively counteract therapeutic resistance of leukemic stem cells in AML and ALL. American Journal of Hematology. 99(9). 1721–1731. 15 indexed citations
4.
Trifinopoulos, Jana, Thorsten Klampfl, Klara R. Klein, et al.. (2024). Cyclin C promotes development and progression of B-cell acute lymphoblastic leukemia by counteracting p53-mediated stress responses. Haematologica. 110(4). 877–892.
5.
Baumgartner, Francis, Constance Baer, Stefanos A. Bamopoulos, et al.. (2023). Comparing malignant monocytosis across the updated WHO and ICC classifications of 2022. Blood. 143(12). 1139–1156. 10 indexed citations
6.
Greiner, Georg, Rodrig Marculescu, Karoline V. Gleixner, et al.. (2023). N‐terminal pro‐brain natriuretic peptide is a prognostic marker for response to intensive chemotherapy, early death, and overall survival in acute myeloid leukemia. American Journal of Hematology. 98(2). 290–299. 5 indexed citations
7.
Valent, Peter, Irina Sadovnik, Barbara Peter, et al.. (2023). Vienna Cancer Stem Cell Club (VCSCC): 20 year jubilee and future perspectives. Expert Review of Hematology. 16(9). 659–670.
8.
Sonnweber, Thomas, Piotr Tymoszuk, Sabina Sahanic, et al.. (2022). Investigating phenotypes of pulmonary COVID-19 recovery: A longitudinal observational prospective multicenter trial. eLife. 11. 27 indexed citations
9.
Anliker, Markus, Lorin Loacker, Susanne Häfner, et al.. (2022). Upregulation of Checkpoint Ligand Programmed Death-Ligand 1 in Patients with Paroxysmal Nocturnal Hemoglobinuria Explained by Proximal Complement Activation. The Journal of Immunology. 208(5). 1248–1258. 3 indexed citations
10.
Egger, Alexander, Wolfgang Prokop, Manfred Nairz, et al.. (2021). Evaluation of four commercial, fully automated SARS-CoV-2 antibody tests suggests a revision of the Siemens SARS-CoV-2 IgG assay. Clinical Chemistry and Laboratory Medicine (CCLM). 59(6). 1143–1154. 16 indexed citations
11.
Egger, Alexander, Wolfgang Prokop, Manfred Nairz, et al.. (2021). Clinical validation of the Siemens quantitative SARS-CoV-2 spike IgG assay (sCOVG) reveals improved sensitivity and a good correlation with virus neutralization titers. Clinical Chemistry and Laboratory Medicine (CCLM). 59(8). 1453–1462. 36 indexed citations
12.
Hoermann, Gregor, Manja Meggendorfer, Constance Baer, et al.. (2021). Whole Genome Sequencing Identifies Non-KIT Mutations and Cytogenetic Aberrations in Systemic Mastocytosis but Has Limited Sensitivity for Detection of KIT D816V. Blood. 138(Supplement 1). 1495–1495.
13.
Mayer, Katharina A., Ursula Smole, Sophia Derdak, et al.. (2021). The energy sensor AMPK orchestrates metabolic and translational adaptation in expanding T helper cells. The FASEB Journal. 35(4). e21217–e21217. 14 indexed citations
14.
Papac-Miličević, Nikolina, Darina Czamara, Mária Ozsvár-Kozma, et al.. (2020). A genome-wide association study identifies key modulators of complement factor H binding to malondialdehyde-epitopes. Proceedings of the National Academy of Sciences. 117(18). 9942–9951. 27 indexed citations
15.
Heibl, Sonja, Bettina Gisslinger, Peter Bettelheim, et al.. (2020). Clinical, Hematologic, Biologic and Molecular Characteristics of Patients with Myeloproliferative Neoplasms and a Chronic Myelomonocytic Leukemia-Like Phenotype. Cancers. 12(7). 1891–1891. 4 indexed citations
16.
Staber, Philipp B., Marco Herling, Mar Bellido, et al.. (2019). Consensus criteria for diagnosis, staging, and treatment response assessment of T-cell prolymphocytic leukemia. Blood. 134(14). 1132–1143. 67 indexed citations
17.
Hadzijusufovic, Emir, Gregor Hoermann, Susanne Herndlhofer, et al.. (2017). Cardiovascular Scoring and Age-Related Mutations Predict the Occurrence of Adverse Vascular Events in CML Patients during Nilotinib Therapy. Blood. 130. 1619–1619. 5 indexed citations
18.
Greiner, Georg, Franz Ratzinger, Nadine Witzeneder, et al.. (2017). Digital Droplet PCR: Next Generation KIT D816V Testing As Advanced Tool for Diagnosis and Prognostication in Mastocytosis. Blood. 130. 2927–2927. 1 indexed citations
19.
Blatt, Katharina, Harald Herrmann, Gregor Hoermann, et al.. (2014). Identification of Campath-1 (CD52) as Novel Drug Target in Neoplastic Stem Cells in 5q-Patients with MDS and AML. Clinical Cancer Research. 20(13). 3589–3602. 23 indexed citations
20.
Einwallner, Elisa, Gerlinde Mitterbauer‐Hohendanner, Martin Bilban, et al.. (2013). Endogenous Erythroid Colony Formation in Chronic Myeloid Leukemia: A Recurrent Finding Associated with Persistent Minimal Residual Disease Under Imatinib. Stem Cells and Development. 22(23). 3043–3051. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ole Weis Bjerrum Breakdown of academic impact, for papers by Hiroaki Niiro Breakdown of academic impact, for papers by Jay N. Lozier Breakdown of academic impact, for papers by Eric H. Sasso Breakdown of academic impact, for papers by Norma Maugeri Breakdown of academic impact, for papers by Dora Pascual‐Salcedo Breakdown of academic impact, for papers by Jasimuddin Ahamed Breakdown of academic impact, for papers by David Hagerty Breakdown of academic impact, for papers by Richard Aranda Breakdown of academic impact, for papers by N. Miyasaka
Rankless by CCL
2026