U Hess

2.7k citations
46 papers · 955 indexed · h-index 17

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments

Papers in

U Hess

44 papers receiving 924 citations

Peers

U Hess
Comparison fields: 5 of 87
  • Genetics 308
  • Hematology 246
  • Pathology and Forensic Medicine 385
  • Internal Medicine 70
  • Oncology 344
Replace Prem Mahendra with:
Prem Mahendra United Kingdom
Marcia K. Liepman United States
Ralph Cobcroft Australia
Po‐Nan Wang Taiwan
R. Bieger Netherlands
Louis Letendre United States
MR O’Donnell United States
Shmuel Gillis Israel
Cynthia Rutherford United States
Lidia Gil Poland
U Hess relative to Prem Mahendra United Kingdom Prem Mahendra's profile →
Citations per field
00.5×1.5×1.8×
Prem Mahendra · 1×
Citations per year

Countries citing papers authored by U Hess

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with U Hess Line = papers co-authored together U Hess links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010168
2 200571
3 199465
4 199260
5 199954
6 201637
7 200237
8 199737
9 199835
10 197733
11 201533
12 200431
13 200331
14 199726
15 199824
16 201623
17 200922
18 200316
19 198314
20
[Comparison of serological methods for the diagnosis of the cystic and alveolar echinococcosis in man].
197414

About U Hess

U Hess is a scholar working on Genetics, Pathology and Forensic Medicine, Hematology, Oncology and Neurology, having authored 46 papers that have together received 955 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (14 papers), Chronic Lymphocytic Leukemia Research (12 papers), Acute Lymphoblastic Leukemia research (6 papers), Acute Myeloid Leukemia Research (5 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Viral-associated cancers and disorders (3 papers), CNS Lymphoma Diagnosis and Treatment (3 papers) and Hematopoietic Stem Cell Transplantation (3 papers). The work is most often cited by research in Genetics (308 citations), Hematology (246 citations), Pathology and Forensic Medicine (385 citations), Internal Medicine (70 citations) and Oncology (344 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, Michele Ghielmini, Martin F. Fey, A. von Rohr, Shu-Fang Hsu Schmitz, Rolf A. Stahel and Emanuele Zucca. 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.

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