Olaf Neumann

3.0k total citations · 1 hit paper
38 papers, 1.1k citations indexed

About

Olaf Neumann is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Olaf Neumann has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oncology, 14 papers in Pulmonary and Respiratory Medicine and 14 papers in Cancer Research. Recurrent topics in Olaf Neumann's work include Cancer Genomics and Diagnostics (14 papers), Cancer Immunotherapy and Biomarkers (8 papers) and Cancer Diagnosis and Treatment (6 papers). Olaf Neumann is often cited by papers focused on Cancer Genomics and Diagnostics (14 papers), Cancer Immunotherapy and Biomarkers (8 papers) and Cancer Diagnosis and Treatment (6 papers). Olaf Neumann collaborates with scholars based in Germany, United States and Singapore. Olaf Neumann's co-authors include Albrecht Stenzinger, Peter Schirmacher, Stefan Fröhling, Volker Endris, Martina Kirchner, Anna‐Lena Volckmar, Jan Budczies, Michael Allgäuer, Jonas Leichsenring and Eugen Rempel and has published in prestigious journals such as Journal of Clinical Oncology, Molecular Cell and Hepatology.

In The Last Decade

Olaf Neumann

34 papers receiving 1.1k 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.

Accurate and efficient detection of gene fusions from RNA sequencing data

2021 208 citations Sebastian Uhrig, Julia Ellermann et al. Genome Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Olaf Neumann Germany	15	493	492	483	355	163	38	1.1k
Paolo Cotzia United States	17	363 0.7×	364 0.7×	272 0.6×	439 1.2×	133 0.8×	34	1.1k
Pier Selenica United States	21	424 0.9×	312 0.6×	393 0.8×	324 0.9×	274 1.7×	77	1.2k
Hyunjae R. Kim United States	10	458 0.9×	541 1.1×	423 0.9×	710 2.0×	214 1.3×	16	1.3k
Sohail Balasubramanian United States	14	471 1.0×	368 0.7×	371 0.8×	433 1.2×	186 1.1×	24	1.1k
Martina Storz Switzerland	17	326 0.7×	510 1.0×	255 0.5×	327 0.9×	62 0.4×	23	935
Wesley O. Greaves United States	13	376 0.8×	352 0.7×	249 0.5×	217 0.6×	151 0.9×	24	857
Jill Hagenkord United States	19	216 0.4×	380 0.8×	336 0.7×	293 0.8×	195 1.2×	32	985
Octavio Burgués Spain	21	522 1.1×	586 1.2×	673 1.4×	222 0.6×	135 0.8×	60	1.2k
Kerry D. Lynch United States	6	285 0.6×	352 0.7×	233 0.5×	319 0.9×	168 1.0×	7	887
Li-Xuan Qin United States	15	781 1.6×	525 1.1×	194 0.4×	685 1.9×	191 1.2×	19	1.5k

Countries citing papers authored by Olaf Neumann

Since Specialization

Citations

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

Fields of papers citing papers by Olaf Neumann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olaf Neumann

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

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.

Salié, Henrike, Antonio D’Alessio, Jürgen Beck, et al.. (2024). Spatial single-cell profiling and neighbourhood analysis reveal the determinants of immune architecture connected to checkpoint inhibitor therapy outcome in hepatocellular carcinoma. Gut. 74(3). 451–466. 20 indexed citations

Seker‐Cin, Huriye, Timothy Kwang Yong Tay, Daniel Kazdal, et al.. (2023). Analysis of rare fusions in NSCLC: Genomic architecture and clinical implications. Lung Cancer. 184. 107317–107317. 3 indexed citations

Neumann, Olaf, Ulrich Lehmann, Stephan Bartels, et al.. (2023). First proficiency testing for NGS‐based and combined NGS‐ and FISH‐based detection of FGFR2 fusions in intrahepatic cholangiocarcinoma. The Journal of Pathology Clinical Research. 9(2). 100–107. 7 indexed citations

Neumann, Olaf, Markus Ball, Ulrich Lehmann, et al.. (2022). Gene und Pathways: FGFR2‑Translokationen und Fusionsanalytik. PubMed. 43(5). 384–386.

Rempel, Eugen, Klaus Kluck, Susanne Beck, et al.. (2022). Pan-cancer analysis of genomic scar patterns caused by homologous repair deficiency (HRD). npj Precision Oncology. 6(1). 36–36. 49 indexed citations

Bochtler, Tilmann, Thomas Hielscher, Damian Stichel, et al.. (2022). Prognostic impact of copy number alterations and tumor mutational burden in carcinoma of unknown primary. Genes Chromosomes and Cancer. 61(9). 551–560. 5 indexed citations

Reiter, Florian P., Volker Kunzmann, Ralph Kickuth, et al.. (2022). Profound tumor response to combined CTLA-4 and PD-1 inhibition in systemic fourth line therapy observed in a patient with hepatocellular carcinoma harboring SETD2 and LRP1B mutations. Zeitschrift für Gastroenterologie. 61(1). 71–75. 1 indexed citations

Goeppert, Benjamin, Damian Stichel, Réka Tóth, et al.. (2021). Integrative analysis reveals early and distinct genetic and epigenetic changes in intraductal papillary and tubulopapillary cholangiocarcinogenesis. Gut. 71(2). 391–401. 33 indexed citations

10.

Uhrig, Sebastian, Julia Ellermann, Tatjana Walther, et al.. (2021). Accurate and efficient detection of gene fusions from RNA sequencing data. Genome Research. 31(3). 448–460. 208 indexed citations breakdown →

11.

Rempel, Eugen, Volker Endris, Michael Allgäuer, et al.. (2020). Immuno‐oncology gene expression profiling of formalin‐fixed and paraffin‐embedded clear cell renal cell carcinoma: Performance comparison of theNanoString nCountertechnology with targetedRNAsequencing. Genes Chromosomes and Cancer. 59(7). 406–416. 9 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.

Koelsche, Christian, Olaf Neumann, Claus Peter Heußel, et al.. (2019). Primary pulmonary myxoid sarcoma with an unusual gene fusion between exon 7 of EWSR1 and exon 5 of CREB1. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 476(5). 787–791. 7 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.

Volckmar, Anna‐Lena, Volker Endris, Matthias M. Gaida, et al.. (2018). Next generation sequencing of the cellular and liquid fraction of pancreatic cyst fluid supports discrimination of IPMN from pseudocysts and reveals cases with multiple mutated driver clones: First findings from the prospective ZYSTEUS biomarker study. Genes Chromosomes and Cancer. 58(1). 3–11. 14 indexed citations

17.

Allgäuer, Michael, Jan Budczies, Petros Christopoulos, et al.. (2018). Implementing tumor mutational burden (TMB) analysis in routine diagnostics—a primer for molecular pathologists and clinicians. Translational Lung Cancer Research. 7(5). 703–715. 138 indexed citations

18.

Singer, Stephan, Ruiying Zhao, Anthony M. Barsotti, et al.. (2012). Nuclear Pore Component Nup98 Is a Potential Tumor Suppressor and Regulates Posttranscriptional Expression of Select p53 Target Genes. Molecular Cell. 48(5). 799–810. 53 indexed citations

19.

Breinig, Marco, Philipp Mayer, Benjamin Goeppert, et al.. (2011). Heat Shock Protein 90-Sheltered Overexpression of Insulin-Like Growth Factor 1 Receptor Contributes to Malignancy of Thymic Epithelial Tumors. Clinical Cancer Research. 17(8). 2237–2249. 21 indexed citations

20.

Brock, Jane B., et al.. (1994). [Inverted papilloma and its association with human papillomavirus (HPV). A study with polymerase chain reaction (PCR)].. PubMed. 42(11). 670–6. 16 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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