Gregor Werba
Impact in
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- Immunology top 5%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Oncology 17
- Pancreatic and Hepatic Oncology Research 13
- Cancer Immunotherapy and Biomarkers 5
-
- Phagocytosis and Immune Regulation 3
- Co-authors
- Cristina HajduGeorge MillerDiane M. SimeoneDonnele DaleyLena SeifertDaniel TippensAlejandro Torres-HernandezVishnu R. Mani
- Journals
- Cancer Research (2 papers)HPB (2 papers)PLoS ONE (2 papers)The Thoracic and Cardiovascular Surgeon (1 paper)Clinical Chemistry and Laboratory Medicine (CCLM) (1 paper)
- Partner nations
- United StatesAustriaSwitzerland
In The Last Decade
Gregor Werba
26 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Oncology 571
- Immunology 429
- Cancer Research 182
- Genetics 66
- Molecular Biology 390
Countries citing papers authored by Gregor Werba
This map shows the geographic impact of Gregor Werba'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 Gregor Werba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregor Werba more than expected).
Fields of papers citing papers by Gregor Werba
This network shows the impact of papers produced by Gregor Werba. 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 Gregor Werba. The network helps show where Gregor Werba may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gregor Werba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 39 | |
| 2 | 2023 | 3 | |
| 3 | Cancer cell states recur across tumor types and form specific interactions with the tumor microenvironment Hit paper breakdown → | 2022 | 235 |
| 4 | 2022 | 4 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 7 | |
| 7 | 2021 | 16 | |
| 8 | 2021 | 81 | |
| 9 | 2021 | 8 | |
| 10 | 2020 | 108 | |
| 11 | 2019 | 17 | |
| 12 | 2018 | 11 | |
| 13 | 2016 | 252 | |
| 14 | 2016 | 151 | |
| 15 | 2013 | 5 | |
| 16 | 2013 | 49 | |
| 17 | 2013 | 25 | |
| 18 | 2012 | 13 | |
| 19 | 2011 | 57 | |
| 20 | 2011 | 2 |
About Gregor Werba
Gregor Werba is a scholar working on Oncology, Immunology, Cancer Research, Pulmonary and Respiratory Medicine and Biotechnology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (13 papers), Cancer Immunotherapy and Biomarkers (5 papers), Cardiac Fibrosis and Remodeling (3 papers), Phagocytosis and Immune Regulation (3 papers), Cancer Genomics and Diagnostics (3 papers), Cancer Research and Treatments (2 papers), Mesenchymal stem cell research (2 papers) and Pleural and Pulmonary Diseases (2 papers). The work is most often cited by research in Oncology (571 citations), Immunology (429 citations), Cancer Research (182 citations), Genetics (66 citations) and Molecular Biology (390 citations). Gregor Werba has collaborated with scholars based in United States, Austria and Switzerland. Frequent co-authors include Cristina Hajdu, George Miller, Diane M. Simeone, Donnele Daley, Lena Seifert, Daniel Tippens, Alejandro Torres-Hernandez, Vishnu R. Mani, Rocky Barilla and Antonina Avanzi. Their work appears in journals such as Cancer Research, HPB, PLoS ONE, The Thoracic and Cardiovascular Surgeon and Clinical Chemistry and Laboratory Medicine (CCLM).
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.