Jérôme Kluza
Impact in
- Toxicology top 2%
- Bioactive Compounds and Antitumor Agents
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Cancer therapeutics and mechanisms 17
- Mitochondrial Function and Pathology 14
- ATP Synthase and ATPases Research 10
- Melanoma and MAPK Pathways 7
- Cell death mechanisms and regulation 6
-
- Cancer, Hypoxia, and Metabolism 11
- Co-authors
- Philippe Marchetti (39 shared papers)Christian Bailly (18 shared papers)Raeeka Khamari (7 shared papers)Quentin Fovez (9 shared papers)Nicolas Germain (6 shared papers)Pierre Formstecher (10 shared papers)Anne Loyens (5 shared papers)Laurent Mortier (10 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry (5 papers)PLoS ONE (3 papers)Blood (2 papers)Oncotarget (2 papers)APOPTOSIS (2 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Jérôme Kluza
68 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 125
- Toxicology 114
- Cancer Research 474
- Molecular Biology 1.5k
- Organic Chemistry 480
- Biotechnology 116
Countries citing papers authored by Jérôme Kluza
This map shows the geographic impact of Jérôme Kluza'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 Kluza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérôme Kluza more than expected).
Fields of papers citing papers by Jérôme Kluza
This network shows the impact of papers produced by Jérôme Kluza. 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 Kluza. The network helps show where Jérôme Kluza may publish in the future.
Co-authors
The 25 scholars most cited alongside Jérôme Kluza, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 210 | |
| 2 | 2004 | 155 | |
| 3 | 2013 | 138 | |
| 4 | 2006 | 137 | |
| 5 | 2016 | 123 | |
| 6 | 2018 | 122 | |
| 7 | 2012 | 121 | |
| 8 | 2012 | 101 | |
| 9 | 2005 | 101 | |
| 10 | 2010 | 92 | |
| 11 | 2020 | 79 | |
| 12 | 2004 | 72 | |
| 13 | 2018 | 71 | |
| 14 | 2018 | 66 | |
| 15 | 2016 | 59 | |
| 16 | 2009 | 56 | |
| 17 | 2007 | 56 | |
| 18 | 2020 | 52 | |
| 19 | 2015 | 52 | |
| 20 | 2008 | 52 |
About Jérôme Kluza
Jérôme Kluza is a scholar working on Molecular Biology, Cancer Research, Oncology, Toxicology and Organic Chemistry, having authored 70 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (17 papers), Mitochondrial Function and Pathology (14 papers), Cancer, Hypoxia, and Metabolism (11 papers), ATP Synthase and ATPases Research (10 papers), Bioactive Compounds and Antitumor Agents (8 papers), Melanoma and MAPK Pathways (7 papers), Cell death mechanisms and regulation (6 papers) and Acute Myeloid Leukemia Research (5 papers). The work is most often cited by research in Toxicology (114 citations), Cancer Research (474 citations), Molecular Biology (1.5k citations), Organic Chemistry (480 citations) and Biotechnology (116 citations). Jérôme Kluza has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Philippe Marchetti, Christian Bailly, Raeeka Khamari, Quentin Fovez, Nicolas Germain, Pierre Formstecher, Anne Loyens, Laurent Mortier, Steve Lancel and Jean‐Claude Beauvillain. Their work appears in journals such as Bioorganic & Medicinal Chemistry, PLoS ONE, Blood, Oncotarget and APOPTOSIS.
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.