U Hess

413 citations
8 papers · 306 · h-index 7

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Hematological disorders and diagnostics

Papers in

    • Acute Myeloid Leukemia Research 5
    • Hematopoietic Stem Cell Transplantation 2
    • Hematological disorders and diagnostics 4

U Hess

8 papers receiving 286 citations

Peers

U Hess
Comparison fields: 5 of 29
  • Hematology 223
  • Emergency Medicine 34
  • Genetics 39
  • Oncology 96
  • Immunology 49
Replace T.A. Lane with:
T.A. Lane United States
N Morita Japan
Martine Klausmann Germany
S. Alvi United States
Paola Maria Cavigliano Italy
M Edelstein United States
G Castoldi Italy
Masaki Toshima Japan
Barbara Rocca Italy
M. de Jesús Gallegos Santiago Spain
U Hess relative to T.A. Lane United States T.A. Lane's profile →
Citations per field
00.5×1.5×2×2.3×
T.A. Lane · 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

8 of 8 papers shown
#Work
1 1997108
2 199267
3
Effect of long-term treatment with recombinant human interleukin-3 in patients with myelodysplastic syndromes.
199338
4
Effect of combination therapy with all-trans-retinoic acid and recombinant human granulocyte colony-stimulating factor in patients with myelodysplastic syndromes.
199436
5 199226
6
Treatment of myelodysplastic syndromes with cytokines and cytotoxic drugs.
199213
7 200612
8 20146

About U Hess

U Hess is a scholar working on Hematology, Emergency Medicine, Immunology, Molecular Biology and Oncology, having authored 8 papers that have together received 306 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Hematological disorders and diagnostics (4 papers), Hematopoietic Stem Cell Transplantation (2 papers), DNA Repair Mechanisms (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Acute Lymphoblastic Leukemia research (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Otitis Media and Relapsing Polychondritis (1 paper). The work is most often cited by research in Hematology (223 citations), Emergency Medicine (34 citations), Genetics (39 citations), Oncology (96 citations) and Immunology (49 citations). U Hess has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Oliver G. Ottmann, G. Seipelt, Arnold Ganser, G. Schulz, Jürgen Frisch, Aloïs Gratwohl, A. Lindemann, F. Herrmann, Lothar Kanz and Alexander Maurer. Their work appears in journals such as Journal of Clinical Oncology, British Journal of Haematology, Leukemia, Blood and Annals of Hematology.

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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