Jan Budczies
- Molecular Biology top 0.5%
- Oncology top 0.2%
- Cancer Research top 0.1%
- Pulmonary and Respiratory Medicine top 0.5%
- Immunology top 1%
- Co-authors
- Carsten DenkertBalázs GyőrffyAndrás LánczkyManfred DietelPaweł SurowiakWilko WeichertAron C. EklundQiyuan Li
- Topics
- Cancer Genomics and Diagnostics (49 papers)Cancer Immunotherapy and Biomarkers (29 papers)Lung Cancer Treatments and Mutations (28 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Jan Budczies
170 papers receiving 13.5k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Molecular Biology 6.6k
- Oncology 6.0k
- Cancer Research 4.6k
- Pulmonary and Respiratory Medicine 3.1k
- Immunology 1.9k
Countries citing papers authored by Jan Budczies
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 49 | |
| 7 | Tumor Mutational Burden as a Predictive Biomarker in Solid Tumorsbreakdown → | 510 |
| 8 | 9 | |
| 9 | 10 | |
| 10 | 117 | |
| 11 | 20 | |
| 12 | Standardisierte Bestimmung tumorinfiltrierender Lymphozyten beim Mammakarzinom: Ein prognostischer Marker für die histologische Diagnostik | 0 |
| 13 | 32 | |
| 14 | 70 | |
| 15 | 13 | |
| 16 | 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 Survivalbreakdown → | 542 |
| 17 | 27 | |
| 18 | METAtarget - Extracting Key Enzymes of Metabolic Regulation from Highthroughput Metabolomics Data using KEGG REACTION Information. | 1 |
| 19 | 134 | |
| 20 | 304 |
About Jan Budczies
Jan Budczies is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 178 papers that have together received 13.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (49 papers), Cancer Immunotherapy and Biomarkers (29 papers) and Lung Cancer Treatments and Mutations (28 papers). The work is most often cited by research in Cancer Research (4.6k citations), Oncology (6.0k citations) and Molecular Biology (6.6k citations). Jan Budczies has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Carsten Denkert, Balázs Győrffy, András Lánczky, Manfred Dietel, Paweł Surowiak, Wilko Weichert, Aron C. Eklund, Qiyuan Li, Zoltán Szállási and Silvia Darb‐Esfahani. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.
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.