U Hess
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 13
- Chronic Lymphocytic Leukemia Research 10
- Myeloproliferative Neoplasms: Diagnosis and Treatment 2
-
- Lymphoma Diagnosis and Treatment 11
- Co-authors
- Andreas Lohri (2 shared papers)Thomas Cerny (4 shared papers)Daniel Betticher (8 shared papers)J. Eckert (4 shared papers)Martin F. Fey (5 shared papers)Michele Ghielmini (4 shared papers)A. von Rohr (5 shared papers)A Tobler (5 shared papers)
- Journals
- Annals of Oncology (4 papers)Bone Marrow Transplantation (3 papers)Swiss Medical Weekly (3 papers)Blood (2 papers)Leukemia (2 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
U Hess
44 papers receiving 958 citations
Peers
Comparison fields: 5 of 83
- Genetics 288
- Pathology and Forensic Medicine 379
- Hematology 243
- Internal Medicine 63
- Oncology 297
Countries citing papers authored by U Hess
This map shows the geographic impact of U Hess'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 U Hess with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U Hess more than expected).
Fields of papers citing papers by U Hess
This network shows the impact of papers produced by U Hess. 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 U Hess. The network helps show where U Hess may publish in the future.
Co-authors
The 25 scholars most cited alongside U Hess, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 177 | |
| 2 | 2005 | 72 | |
| 3 | 1994 | 68 | |
| 4 | 1992 | 61 | |
| 5 | 1999 | 54 | |
| 6 | 1997 | 43 | |
| 7 | 2002 | 39 | |
| 8 | 2016 | 38 | |
| 9 | 1998 | 36 | |
| 10 | 2003 | 35 | |
| 11 | 1977 | 35 | |
| 12 | 2015 | 34 | |
| 13 | 2004 | 33 | |
| 14 | 1997 | 27 | |
| 15 | 1998 | 26 | |
| 16 | 2009 | 24 | |
| 17 | 2016 | 23 | |
| 18 | 2003 | 18 | |
| 19 | 1983 | 15 | |
| 20 | 2005 | 14 |
About U Hess
U Hess is a scholar working on Genetics, Pathology and Forensic Medicine, Oncology, Hematology and Public Health, Environmental and Occupational Health, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (11 papers), Chronic Lymphocytic Leukemia Research (10 papers), Acute Lymphoblastic Leukemia research (6 papers), Acute Myeloid Leukemia Research (5 papers), Hematopoietic Stem Cell Transplantation (3 papers), Viral-associated cancers and disorders (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and CNS Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Genetics (288 citations), Pathology and Forensic Medicine (379 citations), Hematology (243 citations), Internal Medicine (63 citations) and Oncology (297 citations). U Hess has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Andreas Lohri, Thomas Cerny, Daniel Betticher, J. Eckert, Martin F. Fey, Michele Ghielmini, A. von Rohr, A Tobler, Marc Heizmann and Pierre-Yves Dietrich. Their work appears in journals such as Annals of Oncology, Bone Marrow Transplantation, Swiss Medical Weekly, Blood and Leukemia.
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.