Robert Eferl
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Hepatocellular Carcinoma Treatment and Prognosis
- Oncology top 2%
- Cytokine Signaling Pathways and Interactions
- Cancer Cells and Metastasis
Papers in
- Oncology 31
- Cytokine Signaling Pathways and Interactions 12
- Cancer Immunotherapy and Biomarkers 7
- Cancer-related Molecular Pathways 5
- Hepatology 12
- Liver physiology and pathology 7
- Hepatocellular Carcinoma Treatment and Prognosis 5
- Co-authors
- Erwin Friedrich Wagner (18 shared papers)Lukas Kenner (19 shared papers)Rainer Zenz (9 shared papers)Harald Scheuch (6 shared papers)Martina Rath (3 shared papers)Erwin Tschachler (2 shared papers)Astrid Hoebertz (6 shared papers)Peter E. Angel (3 shared papers)
In The Last Decade
Robert Eferl
78 papers receiving 7.4k citations
Robert Eferl's Hit Papers
Peers
Comparison fields: 5 of 115
- Hepatology 575
- Oncology 1.4k
- Cancer Research 610
- Molecular Biology 2.9k
- Immunology 814
Countries citing papers authored by Robert Eferl
This map shows the geographic impact of Robert Eferl'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 Robert Eferl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Eferl more than expected).
Fields of papers citing papers by Robert Eferl
This network shows the impact of papers produced by Robert Eferl. 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 Robert Eferl. The network helps show where Robert Eferl may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Eferl, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | AP-1: a double-edged sword in tumorigenesis Hit paper breakdown → | 2003 | 1854 |
| 2 | 2005 | 510 | |
| 3 | 2005 | 444 | |
| 4 | 2003 | 419 | |
| 5 | 2007 | 299 | |
| 6 | 2019 | 241 | |
| 7 | 2003 | 234 | |
| 8 | 1999 | 231 | |
| 9 | 2004 | 181 | |
| 10 | 2008 | 175 | |
| 11 | 2004 | 172 | |
| 12 | 2008 | 170 | |
| 13 | 2009 | 152 | |
| 14 | 2012 | 147 | |
| 15 | 2009 | 145 | |
| 16 | 2015 | 138 | |
| 17 | 2018 | 136 | |
| 18 | 2015 | 123 | |
| 19 | 2017 | 115 | |
| 20 | 2012 | 107 |
About Robert Eferl
Robert Eferl is a scholar working on Oncology, Hepatology, Immunology, Molecular Biology and Genetics, having authored 79 papers that have together received 7.6k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (12 papers), Bone Metabolism and Diseases (8 papers), Cancer Immunotherapy and Biomarkers (7 papers), Liver physiology and pathology (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Inflammatory Bowel Disease (5 papers), Cancer-related Molecular Pathways (5 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). The work is most often cited by research in Hepatology (575 citations), Oncology (1.4k citations), Cancer Research (610 citations), Molecular Biology (2.9k citations) and Immunology (814 citations). Robert Eferl has collaborated with scholars based in Austria, Germany and Spain. Frequent co-authors include Erwin Friedrich Wagner, Lukas Kenner, Rainer Zenz, Harald Scheuch, Martina Rath, Erwin Tschachler, Astrid Hoebertz, Peter E. Angel, Roméo Ricci and Jean‐Pierre David. Their work appears in journals such as Hepatology, Gut, OncoImmunology, The Journal of Cell Biology and Gastroenterology.
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.