Michael Allgäuer

6.4k total citations · 1 hit paper
67 papers, 1.9k citations indexed

About

Michael Allgäuer is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Michael Allgäuer has authored 67 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Oncology, 31 papers in Pulmonary and Respiratory Medicine and 26 papers in Cancer Research. Recurrent topics in Michael Allgäuer's work include Cancer Genomics and Diagnostics (23 papers), Lung Cancer Treatments and Mutations (16 papers) and Cancer Immunotherapy and Biomarkers (13 papers). Michael Allgäuer is often cited by papers focused on Cancer Genomics and Diagnostics (23 papers), Lung Cancer Treatments and Mutations (16 papers) and Cancer Immunotherapy and Biomarkers (13 papers). Michael Allgäuer collaborates with scholars based in Germany, Switzerland and Austria. Michael Allgäuer's co-authors include Albrecht Stenzinger, Jan Budczies, Peter Schirmacher, Volker Endris, Michael Thomas, Petros Christopoulos, Stefan Fröhling, Eugen Rempel, Martina Kirchner and Matthias Gückenberger and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Michael Allgäuer

59 papers receiving 1.9k citations

Hit Papers

Tumour mutational burden: clinical utility, challenges an... 2024 2026 2025 2024 10 20 30 40
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.

  1. Tumour mutational burden: clinical utility, challenges and emerging improvements
    2024 47 citations Jan Budczies, Daniel Kazdal et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Allgäuer Germany 23 794 790 489 438 301 67 1.9k
Xiaomao Guo China 28 731 0.9× 769 1.0× 633 1.3× 502 1.1× 264 0.9× 115 2.2k
Yuji Seo Japan 23 549 0.7× 477 0.6× 221 0.5× 320 0.7× 366 1.2× 107 1.5k
Hong Ge China 16 515 0.6× 873 1.1× 300 0.6× 630 1.4× 135 0.4× 107 2.0k
Changhu Chen United States 22 1.1k 1.4× 696 0.9× 641 1.3× 1.0k 2.4× 658 2.2× 40 3.0k
Margaret M. Kozak United States 19 320 0.4× 758 1.0× 312 0.6× 627 1.4× 198 0.7× 48 1.5k
Suzanne Russo United States 22 626 0.8× 883 1.1× 315 0.6× 658 1.5× 134 0.4× 73 1.7k
Fuquan Zhang China 22 317 0.4× 401 0.5× 240 0.5× 245 0.6× 202 0.7× 134 1.6k
Jinyi Lang China 21 448 0.6× 350 0.4× 354 0.7× 474 1.1× 183 0.6× 129 1.4k
Luigi Pirtoli Italy 26 644 0.8× 759 1.0× 404 0.8× 731 1.7× 65 0.2× 102 2.3k
G. Daniel Grass United States 19 348 0.4× 493 0.6× 241 0.5× 611 1.4× 79 0.3× 78 1.5k

Countries citing papers authored by Michael Allgäuer

Since Specialization
Citations

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

Fields of papers citing papers by Michael Allgäuer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Allgäuer

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Allgäuer. A scholar is included among the top collaborators of Michael Allgäuer 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 Michael Allgäuer. Michael Allgäuer 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.
Allgäuer, Michael, et al.. (2025). Prognostic impact of lepidic growth in intermediate and high-grade lung adenocarcinoma. PubMed. 206. 108674–108674.
2.
Allgäuer, Michael, et al.. (2025). Intratumor Heterogeneity Predicts Prognosis in Lepidic Predominant Lung Adenocarcinoma. Thoracic Cancer. 16(1). e15536–e15536. 1 indexed citations
3.
4.
Menzel, Michael, Martina Kirchner, Klaus Kluck, et al.. (2024). Genomic heterogeneity at baseline is associated with T790M resistance mutations in EGFR‐mutated lung cancer treated with the first‐/second‐generation tyrosine kinase inhibitors. The Journal of Pathology Clinical Research. 10(2). e354–e354. 2 indexed citations
5.
Ball, Markus, Klaus Kluck, Michael Menzel, et al.. (2024). Leveraging Off-Target Reads in Panel Sequencing for Homologous Recombination Repair Deficiency Screening in Tumor. Journal of Molecular Diagnostics. 26(6). 479–486.
6.
Safi, Seyer, Dorothea Weber, Rouven Behnisch, et al.. (2024). Peri- and postoperative morbidity and mortality in older patients with non-small cell lung cancer: a matched-pair study. World Journal of Surgical Oncology. 22(1). 213–213. 3 indexed citations
7.
Ball, Markus, Martina Kirchner, Olaf Neumann, et al.. (2024). Clinical Implementation of a High-Throughput Automated Comprehensive Genomic Profiling Test. Journal of Molecular Diagnostics. 27(2). 154–162.
8.
Kluck, Klaus, Markus Ball, Martina Kirchner, et al.. (2023). Spatial profiling of the microenvironment reveals low intratumoral heterogeneity and STK11-associated immune evasion in therapy-naïve lung adenocarcinomas. Lung Cancer. 180. 107212–107212. 5 indexed citations
9.
Stenzinger, Albrecht, Maximilian Alber, Michael Allgäuer, et al.. (2021). Artificial intelligence and pathology: From principles to practice and future applications in histomorphology and molecular profiling. Seminars in Cancer Biology. 84. 129–143. 56 indexed citations
10.
11.
Berger, Anne, Sadaf S. Mughal, Michael Allgäuer, et al.. (2020). Metastatic adult pancreatoblastoma: Multimodal treatment and molecular characterization of a very rare disease. Pancreatology. 20(3). 425–432. 17 indexed citations
12.
Bochtler, Tilmann, Volker Endris, Thomas Hielscher, et al.. (2020). Integrated clinicomolecular characterization identifies RAS activation and CDKN2A deletion as independent adverse prognostic factors in cancer of unknown primary. International Journal of Cancer. 146(11). 3053–3064. 10 indexed citations
13.
Bochtler, Tilmann, Volker Endris, Jonas Leichsenring, et al.. (2019). Comparative genetic profiling aids diagnosis and clinical decision making in challenging cases of CUP syndrome. International Journal of Cancer. 145(11). 2963–2973. 20 indexed citations
14.
Pfarr, Nicole, Michael Allgäuer, Katja Steiger, et al.. (2019). Several genotypes, one phenotype: PIK3CA/AKT1 mutation-negative hidradenoma papilliferum show genetic lesions in other components of the signalling network. Pathology. 51(4). 362–368. 10 indexed citations
15.
Buchhalter, Ivo, Eugen Rempel, Volker Endris, et al.. (2018). Size matters: Dissecting key parameters for panel‐based tumor mutational burden analysis. International Journal of Cancer. 144(4). 848–858. 117 indexed citations
16.
Howard, Robin, et al.. (2018). A Cell Line–based Immunohistochemical p53 Expression Pattern Control Panel. International Journal of Gynecological Pathology. 38(5). 449–458. 1 indexed citations
17.
18.
Andratschke, Nicolaus, Michael Allgäuer, Oliver Blanck, et al.. (2016). OC-0445: Patterns of care and outcome analysis of SBRT for liver metastases - a DEGRO database initiative. Radiotherapy and Oncology. 119. S208–S208. 2 indexed citations
19.
Berger, Emanuel, Eva Rath, Detian Yuan, et al.. (2016). Mitochondrial function controls intestinal epithelial stemness and proliferation. Nature Communications. 7(1). 13171–13171. 149 indexed citations
20.
Klement, Rainer J., Michael Allgäuer, Steffen Appold, et al.. (2014). Support Vector Machine-Based Prediction of Local Tumor Control After Stereotactic Body Radiation Therapy for Early-Stage Non-Small Cell Lung Cancer. International Journal of Radiation Oncology*Biology*Physics. 88(3). 732–738. 41 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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