Hans J. Schlitt
- Transplantation top 0.1%
- Renal Transplantation Outcomes and Treatments 58
- Hepatology top 0.1%
- Liver Disease and Transplantation 65
- Hepatocellular Carcinoma Treatment and Prognosis 56
- Surgery top 0.1%
- Organ Transplantation Techniques and Outcomes 102
- Intraperitoneal and Appendiceal Malignancies 39
- Genetics top 0.5%
- Oncology top 0.5%
-
- Immune Cell Function and Interaction 51
- T-cell and B-cell Immunology 35
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- Liver Disease Diagnosis and Treatment 35
- Co-authors
- Edward K. GeisslerPompiliu PisoFelix PoppStefan Fichtner‐FeiglR. PichlmayrMarc H. DahlkeSven Arke LangElke Eggenhofer
- Cited by
- TransplantationHepatologySurgery
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Lancet (2 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Hans J. Schlitt
492 papers receiving 15.4k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Transplantation 1.6k
- Hepatology 3.7k
- Surgery 7.1k
- Genetics 1.5k
- Oncology 3.3k
Countries citing papers authored by Hans J. Schlitt
This map shows the geographic impact of Hans J. Schlitt'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 Hans J. Schlitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans J. Schlitt more than expected).
Fields of papers citing papers by Hans J. Schlitt
This network shows the impact of papers produced by Hans J. Schlitt. 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 Hans J. Schlitt. The network helps show where Hans J. Schlitt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hans J. Schlitt, 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 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 8 | |
| 10 | 2018 | 11 | |
| 11 | Biomarker-guided Intervention to Prevent Acute Kidney Injury After Major Surgery | 2018 | 6 |
| 12 | 2015 | 20 | |
| 13 | 2015 | 31 | |
| 14 | 2009 | 61 | |
| 15 | 2008 | 46 | |
| 16 | 2008 | 49 | |
| 17 | Cardiovascular risk factors after renal transplantation | 2005 | 1 |
| 18 | 2005 | 20 | |
| 19 | 1998 | 67 | |
| 20 | 1997 | 28 |
About Hans J. Schlitt
Hans J. Schlitt is a scholar working on Transplantation, Hepatology and Surgery, having authored 510 papers that have together received 15.7k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (102 papers), Liver Disease and Transplantation (65 papers), Renal Transplantation Outcomes and Treatments (58 papers), Hepatocellular Carcinoma Treatment and Prognosis (56 papers), Immune Cell Function and Interaction (51 papers), Intraperitoneal and Appendiceal Malignancies (39 papers), Liver Disease Diagnosis and Treatment (35 papers) and T-cell and B-cell Immunology (35 papers). The work is most often cited by research in Transplantation (1.6k citations), Hepatology (3.7k citations) and Surgery (7.1k citations). Hans J. Schlitt has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Edward K. Geissler, Pompiliu Piso, Felix Popp, Stefan Fichtner‐Feigl, R. Pichlmayr, Marc H. Dahlke, Sven Arke Lang, Elke Eggenhofer, Alexander Kroemer and Gabriel Glockzin. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet 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.