Daniel Ré

4.1k citations
71 papers · 3.1k · 2 hit papers · h-index 27

Impact in

Papers in

Daniel Ré

70 papers receiving 3k citations

Daniel Ré's Hit Papers

Autoimmune haemolytic anaemia associated with COVID‐19 infection 2020 · 246 citations
2460+3+6Years since publication100200300

Peers

Daniel Ré
Comparison fields: 5 of 90
  • Pathology and Forensic Medicine 1.1k
  • Biotechnology 244
  • Oncology 557
  • Infectious Diseases 346
  • Hematology 202
Replace J.M. Tourani with:
J.M. Tourani France
David Assouline France
Isabelle Plantier France
Rino Cerio United Kingdom
Michel Pavic France
Lynn E. S̄pitler United States
Sarah Watson France
Agnès Buzyn France
Janet Andersen United States
Thomas John Manley United States
Daniel Ré relative to J.M. Tourani France J.M. Tourani's profile →
Citations per field
00.5×2×4×5.9×
J.M. Tourani · 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 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Clinical features and prognostic factors of listeriosis: the MONALISA national prospective cohort study
Hit paper breakdown →
2017397
2
Autoimmune haemolytic anaemia associated with COVID‐19 infection
Hit paper breakdown →
2020246
3 2001196
4 2012192
5 2000142
6 2003128
7
Oct-2 and Bob-1 deficiency in Hodgkin and Reed Sternberg cells.
2001121
8 2001119
9 2019105
10 200398
11 200288
12 200586
13 201386
14 200284
15
Somatic mutations of the CD95 gene in Hodgkin and Reed-Sternberg cells.
200082
16 200578
17 202276
18 200051
19 199948
20 202142

About Daniel Ré

Daniel Ré is a scholar working on Pathology and Forensic Medicine, Hematology, Genetics, Infectious Diseases and Oncology, having authored 71 papers that have together received 3.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (33 papers), Chronic Lymphocytic Leukemia Research (8 papers), Acute Myeloid Leukemia Research (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Cell death mechanisms and regulation (4 papers), DNA Repair Mechanisms (2 papers), Pharmacovigilance and Adverse Drug Reactions (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.1k citations), Biotechnology (244 citations), Oncology (557 citations), Infectious Diseases (346 citations) and Hematology (202 citations). Daniel Ré has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Volker Diehl, Roman Kurt Thomas, Juergen Wolf, Ralf Küppers, Markus Müschen, Hans Tesch, Klaus Rajewsky, Andrea Staratschek‐Jox, Martin R. Weihrauch and Claudia Wickenhauser. Their work appears in journals such as Blood, Annals of Oncology, British Journal of Haematology, The Lancet Oncology 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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