Oliver Kepp
- Immunology top 0.05%
- Immunotherapy and Immune Responses 53
- Phagocytosis and Immune Regulation 45
- Immune Cell Function and Interaction 37
- Oncology top 0.05%
- Cancer Immunotherapy and Biomarkers 35
- Physiology top 0.05%
- Adenosine and Purinergic Signaling 23
- Cancer Research top 0.2%
- Molecular Biology top 0.1%
- Cell death mechanisms and regulation 29
-
- Autophagy in Disease and Therapy 90
-
- Endoplasmic Reticulum Stress and Disease 35
- Co-authors
- Guido KroemerLorenzo GalluzziLaurence ZitvogelAitziber BuquéIsabelle MartinsLaura SenovillaIlio VitaleEugenia Morselli
- Cited by
- ImmunologyOncologyPhysiology
In The Last Decade
Oliver Kepp
267 papers receiving 33.7k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Immunology 12.6k
- Oncology 11.2k
- Physiology 1.8k
- Cancer Research 3.5k
- Molecular Biology 14.2k
Countries citing papers authored by Oliver Kepp
This map shows the geographic impact of Oliver Kepp'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 Oliver Kepp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver Kepp more than expected).
Fields of papers citing papers by Oliver Kepp
This network shows the impact of papers produced by Oliver Kepp. 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 Oliver Kepp. The network helps show where Oliver Kepp may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Oliver Kepp, 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 | 2025 | 4 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 14 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 0 | |
| 6 | Immunogenic cell death in cancer: concept and therapeutic implicationsbreakdown → | 2023 | 94 |
| 7 | 2023 | 7 | |
| 8 | 2020 | 101 | |
| 9 | 2020 | 4 | |
| 10 | 2020 | 16 | |
| 11 | 2018 | 36 | |
| 12 | 2017 | 108 | |
| 13 | 2013 | 34 | |
| 14 | Decoding cell death signals in liver inflammationbreakdown → | 2013 | 801 |
| 15 | 2011 | 67 | |
| 16 | 2010 | 23 | |
| 17 | 2010 | 239 | |
| 18 | 2010 | 121 | |
| 19 | 2009 | 160 | |
| 20 | 2003 | 304 |
About Oliver Kepp
Oliver Kepp is a scholar working on Physiology, Immunology, Cell Biology, Epidemiology and Oncology, having authored 276 papers that have together received 34.1k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (90 papers), Immunotherapy and Immune Responses (53 papers), Phagocytosis and Immune Regulation (45 papers), Immune Cell Function and Interaction (37 papers), Endoplasmic Reticulum Stress and Disease (35 papers), Cancer Immunotherapy and Biomarkers (35 papers), Cell death mechanisms and regulation (29 papers) and Adenosine and Purinergic Signaling (23 papers). The work is most often cited by research in Immunology (12.6k citations), Oncology (11.2k citations), Physiology (1.8k citations), Cancer Research (3.5k citations) and Molecular Biology (14.2k citations). Oliver Kepp has collaborated with scholars based in France, Sweden and China. Frequent co-authors include Guido Kroemer, Lorenzo Galluzzi, Laurence Zitvogel, Aitziber Buqué, Isabelle Martins, Laura Senovilla, Ilio Vitale, Eugenia Morselli, Maria Castedo and Maria Chiara Maiuri. Their work appears in journals such as OncoImmunology, Cell Cycle, Cell Death and Disease, Cell Death and Differentiation and Autophagy.
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.