Ben Uttenthal

470 citations
9 papers · 108 · h-index 3

Impact in

    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Chronic Lymphocytic Leukemia Research
    • Virus-based gene therapy research
    • CAR-T cell therapy research

Papers in

Ben Uttenthal

7 papers receiving 108 citations

Peers

Ben Uttenthal
Comparison fields: 5 of 22
  • Genetics 29
  • Oncology 71
  • Pathology and Forensic Medicine 29
  • Hepatology 9
  • Internal Medicine 3
Replace Margareth Macro with:
Margareth Macro France
Guido Ghilardi United States
Ahmed M. Abdelhady United States
Lisa von Wenserski Germany
Sigrid Kolders Netherlands
Sushanth Gouni United States
I. Meuthen Germany
Jérôme Paillassa France
Ana Alarcón Tomás United States
Ben Uttenthal relative to Margareth Macro France Margareth Macro's profile →
Citations per field
00.5×10×15×21.5×
Margareth Macro · 1×
Citations per year

Countries citing papers authored by Ben Uttenthal

Since Specialization
Citations

This map shows the geographic impact of Ben Uttenthal'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 Ben Uttenthal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Uttenthal more than expected).

Fields of papers citing papers by Ben Uttenthal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben Uttenthal. 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 Ben Uttenthal. The network helps show where Ben Uttenthal may publish in the future.

Co-authors

The 25 scholars most cited alongside Ben Uttenthal, 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 Ben Uttenthal Line = papers co-authored together Ben Uttenthal links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 202368
2 200726
3 20229
4 20202
5 20221
6 20221
7 20171
8 20260
9 20230

About Ben Uttenthal

Ben Uttenthal is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Infectious Diseases and Molecular Biology, having authored 9 papers that have together received 108 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), Viral-associated cancers and disorders (3 papers), CAR-T cell therapy research (2 papers), Kruppel-like factors research (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper), Lung Cancer Treatments and Mutations (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Genetics (29 citations), Oncology (71 citations), Pathology and Forensic Medicine (29 citations), Hepatology (9 citations) and Internal Medicine (3 citations). Ben Uttenthal has collaborated with scholars based in United Kingdom, Germany and Italy. Frequent co-authors include Eleni Tholouli, Lorna Neill, Robin Sanderson, Adrian Bloor, Sridhar Chaganti, Wendy Osborne, Caroline Besley, Claire Roddie, Ceri Jones and Andrea Kühnl. Their work appears in journals such as Journal of Clinical Oncology, British Journal of Haematology, Journal of Medical Microbiology, Hematological Oncology and Blood.

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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