Jan Budczies

24.4k total citations · 7 hit papers
178 papers, 13.6k citations indexed

About

Jan Budczies is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Jan Budczies has authored 178 papers receiving a total of 13.6k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Oncology, 81 papers in Cancer Research and 70 papers in Molecular Biology. Recurrent topics in Jan Budczies's work include Cancer Genomics and Diagnostics (49 papers), Cancer Immunotherapy and Biomarkers (29 papers) and Lung Cancer Treatments and Mutations (28 papers). Jan Budczies is often cited by papers focused on Cancer Genomics and Diagnostics (49 papers), Cancer Immunotherapy and Biomarkers (29 papers) and Lung Cancer Treatments and Mutations (28 papers). Jan Budczies collaborates with scholars based in Germany, United States and Switzerland. Jan Budczies's co-authors include Carsten Denkert, Balázs Győrffy, András Lánczky, Manfred Dietel, Paweł Surowiak, Wilko Weichert, Qiyuan Li, Zoltán Szállási, Aron C. Eklund and Silvia Darb‐Esfahani and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Jan Budczies

170 papers receiving 13.5k citations

Hit Papers

An online survival analys... 2009 2026 2014 2020 2009 2013 2009 2012 2012 500 1000 1.5k 2.0k
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. An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients
    2009 2.2k citations Carsten Denkert, Jan Budczies et al. profile →
  2. Online Survival Analysis Software to Assess the Prognostic Value of Biomarkers Using Transcriptomic Data in Non-Small-Cell Lung Cancer
    2013 1.4k citations Jan Budczies et al. profile →
  3. Tumor-Associated Lymphocytes As an Independent Predictor of Response to Neoadjuvant Chemotherapy in Breast Cancer
    2009 1.3k citations Carsten Denkert, Sibylle Loibl et al. Journal of Clinical Oncology profile →
  4. Cutoff Finder: A Comprehensive and Straightforward Web Application Enabling Rapid Biomarker Cutoff Optimization
    2012 954 citations Jan Budczies, Frederick Klauschen et al. profile →
  5. The Novel Histologic International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society Classification System of Lung Adenocarcinoma Is a Stage-Independent Predictor of Survival
    2012 542 citations Arne Warth, Thomas Muley et al. Journal of Clinical Oncology profile →
  6. Tumor Mutational Burden as a Predictive Biomarker in Solid Tumors
    2020 510 citations Dan Sha, Zhaohui Jin et al. Cancer Discovery profile →
  7. 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
Jan Budczies Germany 51 6.6k 6.0k 4.6k 3.1k 1.9k 178 13.6k
Karin Jirström Sweden 59 5.9k 0.9× 6.2k 1.0× 3.9k 0.8× 2.1k 0.7× 3.0k 1.6× 316 13.3k
Michèle Milella Italy 54 5.6k 0.9× 6.5k 1.1× 2.5k 0.5× 2.5k 0.8× 1.5k 0.8× 370 12.9k
Justin Guinney United States 30 8.4k 1.3× 4.2k 0.7× 4.1k 0.9× 4.5k 1.5× 2.5k 1.4× 82 15.0k
Sunil Badve United States 59 5.5k 0.8× 6.4k 1.1× 4.6k 1.0× 2.0k 0.6× 1.3k 0.7× 309 14.3k
Stefan Sleijfer Netherlands 61 4.2k 0.6× 7.1k 1.2× 3.5k 0.8× 4.7k 1.5× 1.5k 0.8× 379 13.6k
François Bertucci France 72 7.5k 1.1× 8.9k 1.5× 5.4k 1.2× 4.8k 1.6× 2.7k 1.4× 515 18.8k
Timothy A. Yap United States 52 9.0k 1.4× 8.6k 1.4× 3.3k 0.7× 3.8k 1.2× 1.6k 0.9× 353 16.3k
Stefan Michiels France 53 3.7k 0.6× 6.9k 1.1× 3.8k 0.8× 2.9k 1.0× 1.9k 1.0× 265 12.2k
Ronald Simon Germany 63 6.9k 1.0× 5.2k 0.9× 3.4k 0.8× 3.9k 1.3× 1.2k 0.6× 357 13.5k
George Somlo United States 51 4.7k 0.7× 6.1k 1.0× 3.8k 0.8× 1.8k 0.6× 1.1k 0.6× 279 12.2k

Countries citing papers authored by Jan Budczies

Since Specialization
Citations

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

Fields of papers citing papers by Jan Budczies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Budczies

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Budczies. A scholar is included among the top collaborators of Jan Budczies 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 Jan Budczies. Jan Budczies 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.
2.
Christopoulos, Petros, Richard F. Schlenk, Daniel Kazdal, et al.. (2023). Real‐world data for precision cancer medicine—A European perspective. Genes Chromosomes and Cancer. 62(9). 557–563. 9 indexed citations
3.
Pellegrino, Rossella, Abhishek Thavamani, Diego F. Calvisi, et al.. (2021). Serum Response Factor (SRF) Drives the Transcriptional Upregulation of the MDM4 Oncogene in HCC. Cancers. 13(2). 199–199. 8 indexed citations
4.
Sha, Dan, Zhaohui Jin, Jan Budczies, et al.. (2020). Tumor Mutational Burden as a Predictive Biomarker in Solid Tumors. Cancer Discovery. 10(12). 1808–1825. 510 indexed citations breakdown →
5.
Jesinghaus, Moritz, Katja Steiger, Fabian Stögbauer, et al.. (2020). Pre-operative cellular dissociation grading in biopsies is highly predictive of post-operative tumour stage and patient outcome in head and neck squamous cell carcinoma. British Journal of Cancer. 122(6). 835–846. 13 indexed citations
6.
7.
Wienert, Stephan, Dan Cacsire Castillo‐Tong, Caroline Kreuzinger, et al.. (2018). Dynamics of the Intratumoral Immune Response during Progression of High-Grade Serous Ovarian Cancer. Neoplasia. 20(3). 280–288. 20 indexed citations
8.
Denkert, Carsten, Sibylle Loibl, Jan Budczies, Stephan Wienert, & Frederick Klauschen. (2018). Standardisierte Bestimmung tumorinfiltrierender Lymphozyten beim Mammakarzinom: Ein prognostischer Marker für die histologische Diagnostik. Der Pathologe. 39(6). 520–531.
9.
Sinn, M., Jan Budczies, Frédérik Damm, et al.. (2017). TP53 mutation predicts sensitivity to adjuvant gemcitabine in pancreatic cancer: Results from the CONKO-001 study. Annals of Oncology. 28. v251–v251. 3 indexed citations
10.
Hilvo, Mika, Inês de Santiago, Peddinti Gopalacharyulu, et al.. (2016). Accumulated Metabolites of Hydroxybutyric Acid Serve as Diagnostic and Prognostic Biomarkers of Ovarian High-Grade Serous Carcinomas. Cancer Research. 76(4). 796–804. 70 indexed citations
11.
Pfarr, Nicole, Roland Penzel, Volker Endris, et al.. (2016). Targeted next‐generation sequencing enables reliable detection of HER2 (ERBB2) status in breast cancer and provides ancillary information of clinical relevance. Genes Chromosomes and Cancer. 56(4). 255–265. 16 indexed citations
12.
Budczies, Jan, Moritz von Winterfeld, Frederick Klauschen, et al.. (2014). Comprehensive analysis of clinico-pathological data reveals heterogeneous relations between atherosclerosis and cancer. Journal of Clinical Pathology. 67(6). 482–490. 13 indexed citations
13.
Warth, Arne, Thomas Muley, Michael Meister, et al.. (2012). The Novel Histologic International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society Classification System of Lung Adenocarcinoma Is a Stage-Independent Predictor of Survival. Journal of Clinical Oncology. 30(13). 1438–1446. 542 indexed citations breakdown →
14.
Denkert, Carsten, Sibylle Loibl, Ralf Kronenwett, et al.. (2012). RNA-based determination of ESR1 and HER2 expression and response to neoadjuvant chemotherapy. Annals of Oncology. 24(3). 632–639. 19 indexed citations
15.
Brockmöller, Scarlet, Elmar Bucher, Berit Müller, et al.. (2011). Integration of Metabolomics and Expression of Glycerol-3-phosphate Acyltransferase (GPAM) in Breast Cancer—Link to Patient Survival, Hormone Receptor Status, and Metabolic Profiling. Journal of Proteome Research. 11(2). 850–860. 59 indexed citations
16.
Budczies, Jan, Carsten Denkert, Berit Müller, et al.. (2010). METAtarget - Extracting Key Enzymes of Metabolic Regulation from Highthroughput Metabolomics Data using KEGG REACTION Information.. 103–112. 1 indexed citations
17.
Eckstein, Niels, Kati Servan, Barbara Hildebrandt, et al.. (2009). Hyperactivation of the Insulin-like Growth Factor Receptor I Signaling Pathway Is an Essential Event for Cisplatin Resistance of Ovarian Cancer Cells. Cancer Research. 69(7). 2996–3003. 134 indexed citations
18.
Faggad, Areeg, Silvia Darb‐Esfahani, Ralph M. Wirtz, et al.. (2009). Expression of multidrug resistance‐associated protein 1 in invasive ovarian carcinoma: implication for prognosis. Histopathology. 54(6). 657–666. 24 indexed citations
19.
Denkert, Carsten, Jan Budczies, Tobias Kind, et al.. (2006). Mass Spectrometry–Based Metabolic Profiling Reveals Different Metabolite Patterns in Invasive Ovarian Carcinomas and Ovarian Borderline Tumors. Cancer Research. 66(22). 10795–10804. 304 indexed citations
20.
Budczies, Jan, et al.. (2001). (1 + 1)–dimensional Baryons from the SU(N) Color–Flavor Transformation. 2 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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