Manuela Benary

760 total citations · 1 hit paper
16 papers, 245 citations indexed

About

Manuela Benary is a scholar working on Cancer Research, Molecular Biology and Immunology. According to data from OpenAlex, Manuela Benary has authored 16 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cancer Research, 6 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in Manuela Benary's work include Cancer Genomics and Diagnostics (7 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). Manuela Benary is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). Manuela Benary collaborates with scholars based in Germany, United States and Austria. Manuela Benary's co-authors include Damian Rieke, Ulrich Keilholz, Dieter Beule, Ulf Leser, Ulrich Keller, Max Schmidt, Dominik Soll, Mani Nassir, Georg Hilfenhaus and Maren Knödler and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

Manuela Benary

14 papers receiving 243 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.

Leveraging Large Language Models for Decision Support in Personalized Oncology

2023 139 citations Manuela Benary, Max Schmidt et al. JAMA Network Open profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Manuela Benary Germany	8	89	75	71	60	46	16	245
Sophie Chheang United States	5	78 0.9×	45 0.6×	80 1.1×	87 1.4×	34 0.7×	7	264
Damian Rieke Germany	11	90 1.0×	107 1.4×	140 2.0×	63 1.1×	108 2.3×	42	402
Mingxuan Xie China	8	45 0.5×	36 0.5×	138 1.9×	49 0.8×	118 2.6×	10	317
Louis Cai United States	8	86 1.0×	24 0.3×	101 1.4×	128 2.1×	36 0.8×	26	404
Anna-Maria Larsson Sweden	8	121 1.4×	155 2.1×	48 0.7×	167 2.8×	47 1.0×	10	463
Emily R. Gordon United States	10	31 0.3×	39 0.5×	141 2.0×	7 0.1×	59 1.3×	42	289
Avan Kader Germany	9	143 1.6×	82 1.1×	35 0.5×	197 3.3×	12 0.3×	24	331
Bernadette Redd United States	8	21 0.2×	50 0.7×	38 0.5×	133 2.2×	33 0.7×	24	366
Kamran Kafi United States	11	16 0.2×	33 0.4×	96 1.4×	109 1.8×	50 1.1×	17	342
Nicholas Meti Canada	9	19 0.2×	96 1.3×	42 0.6×	91 1.5×	43 0.9×	21	289

Countries citing papers authored by Manuela Benary

Since Specialization

Citations

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

Fields of papers citing papers by Manuela Benary

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuela Benary

This figure shows the co-authorship network connecting the top 25 collaborators of Manuela Benary. A scholar is included among the top collaborators of Manuela Benary 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 Manuela Benary. Manuela Benary 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:

16 of 16 papers shown

Habringer, Stefan, Jana Ihlow, Max Schmidt, et al.. (2024). A diagnostic challenge of KIT p.V559D and BRAF p.G469A mutations in a paragastric mass. The Oncologist. 29(10). 908–912.

Piechotta, Michael, et al.. (2024). preon: Fast and accurate entity normalization for drug names and cancer types in precision oncology. Bioinformatics. 40(3).

Saß, Julian, Bernd Auber, Martin Boeker, et al.. (2023). Creation of a structured molecular genomics report for Germany as a local adaption of HL7’s Genomic Reporting Implementation Guide. Journal of the American Medical Informatics Association. 30(6). 1179–1189. 7 indexed citations

Rieke, Damian, Manuela Benary, Peter Horak, et al.. (2023). Tumor mutational burden as a predictive biomarker for molecularly matched therapy in two independent pan-cancer cohorts.. Journal of Clinical Oncology. 41(16_suppl). 3066–3066. 1 indexed citations

Benary, Manuela, Peter Horak, Mario Lamping, et al.. (2023). Tumour mutational burden and survival with molecularly matched therapy. European Journal of Cancer. 190. 112925–112925. 1 indexed citations

Benary, Manuela, Max Schmidt, Dominik Soll, et al.. (2023). Leveraging Large Language Models for Decision Support in Personalized Oncology. JAMA Network Open. 6(11). e2343689–e2343689. 139 indexed citations breakdown →

Rieke, Damian, Peter Horak, Mario Lamping, et al.. (2022). Feasibility and outcome of reproducible clinical interpretation of high-dimensional molecular data: a comparison of two molecular tumor boards. BMC Medicine. 20(1). 367–367. 12 indexed citations

Lamping, Mario, Manuela Benary, Serge Leyvraz, et al.. (2020). Support of a molecular tumour board by an evidence-based decision management system for precision oncology. European Journal of Cancer. 127. 41–51. 16 indexed citations

Benary, Manuela, et al.. (2020). Disentangling Pro-mitotic Signaling during Cell Cycle Progression using Time-Resolved Single-Cell Imaging. Cell Reports. 31(2). 107514–107514. 13 indexed citations

10.

Benary, Manuela, Mario Lamping, Damian Rieke, et al.. (2019). Comparative Analysis of Public Knowledge Bases for Precision Oncology. JCO Precision Oncology. 3(3). 1–8. 15 indexed citations

11.

Lehmann, Robert, Rainer Machné, Jens Georg, et al.. (2013). How cyanobacteria pose new problems to old methods: challenges in microarray time series analysis. BMC Bioinformatics. 14(1). 133–133. 17 indexed citations

12.

Benary, Manuela, Tobias Scheel, Stefan Frischbutter, et al.. (2012). Stable IL-2 Decision Making by Endogenous c-Fos Amounts in Peripheral Memory T-helper Cells. Journal of Biological Chemistry. 287(22). 18386–18397. 8 indexed citations

13.

Benary, Manuela, Tobias Scheel, Kerstin Steinbrink, et al.. (2012). IL-2 Expression in Activated Human Memory FOXP3+ Cells Critically Depends on the Cellular Levels of FOXP3 as Well as of Four Transcription Factors of T Cell Activation. Frontiers in Immunology. 3. 264–264. 8 indexed citations

14.

Benary, Manuela, et al.. (2010). PREDICTION OF REGULATORY TRANSCRIPTION FACTORS IN T HELPER CELL DIFFERENTIATION AND MAINTENANCE. PubMed. 22. 84–94. 4 indexed citations

15.

Benary, Manuela, et al.. (2008). Modeling IL-2 gene expression in human regulatory T cells.. PubMed. 20. 222–30. 3 indexed citations

16.

Benary, Manuela, et al.. (2008). MODELING IL-2 GENE EXPRESSION IN HUMAN REGULATORY T CELLS. 222–230. 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