Daniel Ré

4.1k citations
66 papers · 2.1k · h-index 23

Impact in

Papers in

Daniel Ré

64 papers receiving 2.0k citations

Peers

Daniel Ré
Comparison fields: 5 of 101
  • Pathology and Forensic Medicine 1.0k
  • Genetics 365
  • Oncology 756
  • Immunology 379
  • Neurology 198
Replace William Townsend with:
William Townsend United Kingdom
Ayoma D. Attygalle United Kingdom
Emmanuel Bachy France
R. Gregory Bociek United States
Enrico Roggero Switzerland
R I Fisher United States
Marianne Tinguely Switzerland
Paul Fields United Kingdom
Anne Sonet Belgium
J P Sloane United Kingdom
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Citations per field
00.5×1.5×2.4×
William Townsend · 1×
Citations per year

Countries citing papers authored by Daniel Ré

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ré

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001190
2 2012185
3 2000141
4 2003121
5
Oct-2 and Bob-1 deficiency in Hodgkin and Reed Sternberg cells.
2001121
6 2001113
7 200396
8 200288
9 200284
10 200583
11
Somatic mutations of the CD95 gene in Hodgkin and Reed-Sternberg cells.
200079
12 200573
13 202258
14 200051
15 199946
16 201238
17 201437
18 201632
19 202131
20 200827

About Daniel Ré

Daniel Ré is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Pulmonary and Respiratory Medicine and Hematology, having authored 66 papers that have together received 2.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (30 papers), Chronic Lymphocytic Leukemia Research (17 papers), CNS Lymphoma Diagnosis and Treatment (7 papers), Viral-associated cancers and disorders (7 papers), Lung Cancer Treatments and Mutations (7 papers), Genetic factors in colorectal cancer (7 papers), Acute Lymphoblastic Leukemia research (5 papers) and Acute Myeloid Leukemia Research (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.0k citations), Genetics (365 citations), Oncology (756 citations), Immunology (379 citations) and Neurology (198 citations). Daniel Ré has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Volker Diehl, Roman K. Thomas, Jürgen Wolf, Ralf Küppers, Markus Müschen, Hans Tesch, Andrea Staratschek‐Jox, Klaus Rajewsky, Martin R. Weihrauch and Heribert Bohlen. Their work appears in journals such as Blood, British Journal of Haematology, The Lancet Oncology, Journal of Clinical Oncology and Annals of Oncology.

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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