Jérôme Dauba
Impact in
- Geriatrics and Gerontology top 1%
- Frailty in Older Adults
- Oncology top 5%
- Cancer survivorship and care
- Colorectal Cancer Treatments and Studies
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
- Cancer Treatment and Pharmacology
Papers in ⓘ
-
- Frailty in Older Adults 7
- Oncology 41
- Cancer Treatment and Pharmacology 22
- Colorectal Cancer Treatments and Studies 21
- Cancer survivorship and care 7
- Pancreatic and Hepatic Oncology Research 5
- Co-authors
- Pierre Soubeyran (10 shared papers)Laurent Cany (8 shared papers)J. Ceccaldi (8 shared papers)C. Blanc-Bisson (7 shared papers)Jean‐Frédéric Blanc (5 shared papers)Nadine Houédé (4 shared papers)Marianne Fonck (10 shared papers)C. Mertens (6 shared papers)
In The Last Decade
Jérôme Dauba
52 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 76
- Geriatrics and Gerontology 363
- Oncology 738
- Pulmonary and Respiratory Medicine 497
- Physiology 355
- Reproductive Medicine 70
Countries citing papers authored by Jérôme Dauba
This map shows the geographic impact of Jérôme Dauba'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 Jérôme Dauba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérôme Dauba more than expected).
Fields of papers citing papers by Jérôme Dauba
This network shows the impact of papers produced by Jérôme Dauba. 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 Jérôme Dauba. The network helps show where Jérôme Dauba may publish in the future.
Co-authors
The 25 scholars most cited alongside Jérôme Dauba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 305 | |
| 2 | 2020 | 215 | |
| 3 | 2013 | 174 | |
| 4 | 2014 | 98 | |
| 5 | 2011 | 71 | |
| 6 | 2020 | 55 | |
| 7 | 2010 | 46 | |
| 8 | 2019 | 41 | |
| 9 | 1997 | 37 | |
| 10 | 2012 | 29 | |
| 11 | 2017 | 26 | |
| 12 | 2016 | 26 | |
| 13 | 2016 | 19 | |
| 14 | 2016 | 14 | |
| 15 | 2011 | 12 | |
| 16 | 2015 | 11 | |
| 17 | 2014 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2007 | 10 | |
| 20 | 2017 | 9 |
About Jérôme Dauba
Jérôme Dauba is a scholar working on Geriatrics and Gerontology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Dermatology, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (22 papers), Colorectal Cancer Treatments and Studies (21 papers), Lung Cancer Treatments and Mutations (10 papers), Nutrition and Health in Aging (8 papers), Gastric Cancer Management and Outcomes (8 papers), Frailty in Older Adults (7 papers), Cancer survivorship and care (7 papers) and Pancreatic and Hepatic Oncology Research (5 papers). The work is most often cited by research in Geriatrics and Gerontology (363 citations), Oncology (738 citations), Pulmonary and Respiratory Medicine (497 citations), Physiology (355 citations) and Reproductive Medicine (70 citations). Jérôme Dauba has collaborated with scholars based in France, Austria and Canada. Frequent co-authors include Pierre Soubeyran, Laurent Cany, J. Ceccaldi, C. Blanc-Bisson, Jean‐Frédéric Blanc, Nadine Houédé, Marianne Fonck, C. Mertens, M. Rainfray and Y. Imbert. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, European Journal of Cancer, Cancer Research and Cancer.
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.