Robert F. Schwabe
- Epidemiology top 0.05%
- Molecular Biology top 0.5%
- Hepatology top 0.05%
- Surgery top 0.5%
- Immunology top 0.5%
- Co-authors
- David A. BrennerTom LueddeEkihiro SekiChristian JobinJohannes KluweDianne H. DapitoJean‐Philippe PradèreSamuele De Minicis
- Topics
- Liver Disease Diagnosis and Treatment (64 papers)Liver physiology and pathology (62 papers)Organ Transplantation Techniques and Outcomes (13 papers)
- Partner nations
- United StatesGermanySpain
In The Last Decade
Robert F. Schwabe
128 papers receiving 24.0k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Epidemiology 10.4k
- Molecular Biology 8.7k
- Hepatology 8.5k
- Surgery 3.8k
- Immunology 3.8k
Countries citing papers authored by Robert F. Schwabe
This map shows the geographic impact of Robert F. Schwabe'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 F. Schwabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert F. Schwabe more than expected).
Fields of papers citing papers by Robert F. Schwabe
This network shows the impact of papers produced by Robert F. Schwabe. 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 F. Schwabe. The network helps show where Robert F. Schwabe may publish in the future.
Co-authorship network of co-authors of Robert F. Schwabe
This figure shows the co-authorship network connecting the top 25 collaborators of Robert F. Schwabe. A scholar is included among the top collaborators of Robert F. Schwabe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert F. Schwabe. Robert F. Schwabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 4 | |
| 3 | 23 | |
| 4 | Immunology and immunotherapy of cholangiocarcinomabreakdown → | 102 |
| 5 | 2 | |
| 6 | 32 | |
| 7 | 47 | |
| 8 | 87 | |
| 9 | 192 | |
| 10 | 194 | |
| 11 | 91 | |
| 12 | The gut microbiome and liver cancer: mechanisms and clinical translationbreakdown → | 422 |
| 13 | Hepatic Stellate Cell Specific NLRP3 Inflammasome Activation Results in Spontaneous Fibrosis | 1 |
| 14 | 32 | |
| 15 | 116 | |
| 16 | 63 | |
| 17 | 115 | |
| 18 | 62 | |
| 19 | 144 | |
| 20 | 18 |
About Robert F. Schwabe
Robert F. Schwabe is a scholar working on Hepatology, Epidemiology and Clinical Biochemistry, having authored 130 papers that have together received 24.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (64 papers), Liver physiology and pathology (62 papers) and Organ Transplantation Techniques and Outcomes (13 papers). The work is most often cited by research in Hepatology (8.5k citations), Epidemiology (10.4k citations) and Cancer Research (2.8k citations). Robert F. Schwabe has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include David A. Brenner, Tom Luedde, Ekihiro Seki, Christian Jobin, Johannes Kluwe, Dianne H. Dapito, Jean‐Philippe Pradère, Samuele De Minicis, Le‐Xing Yu and Ingmar Mederacke. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.