Danielle Ulanet

1.6k citations
23 papers · 1.2k · h-index 12

Impact in

  • Physiology top 5%
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • DNA Repair Mechanisms 6
    • Biochemical and Molecular Research 3
    • RNA modifications and cancer 3
    • Cancer Genomics and Diagnostics 5
    • Cancer, Hypoxia, and Metabolism 3

Danielle Ulanet

21 papers receiving 1.2k citations

Peers

Danielle Ulanet
Comparison fields: 5 of 85
  • Physiology 79
  • Immunology 289
  • Cancer Research 163
  • Rheumatology 123
  • Molecular Biology 582
Replace Vinay Sagar with:
Vinay Sagar United States
Julien Guglielmi France
Mélanie Tichet Switzerland
Magdalena Karbowniczek United States
Thomas Kindler Germany
Amy Axel United States
Kyoko Arai Japan
Ying Ma China
Juan A. Recio Spain
Giovanni Bertalot Italy
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Citations per field
00.5×6.1×
Vinay Sagar · 1×
Citations per year

Countries citing papers authored by Danielle Ulanet

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Ulanet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999395
2 2013281
3 2010193
4 201654
5 200350
6 200349
7 201439
8 200428
9 201421
10 202217
11 200917
12 201016
13 20228
14 20248
15 20214
16 20234
17 20193
18 20192
19 20222
20 20241

About Danielle Ulanet

Danielle Ulanet is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Oncology and Immunology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (6 papers), Cancer Genomics and Diagnostics (5 papers), Biochemical and Molecular Research (3 papers), RNA modifications and cancer (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), T-cell and B-cell Immunology (2 papers), HIV/AIDS drug development and treatment (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Physiology (79 citations), Immunology (289 citations), Cancer Research (163 citations), Rheumatology (123 citations) and Molecular Biology (582 citations). Danielle Ulanet has collaborated with scholars based in United States, Denmark and Canada. Frequent co-authors include Antony Rosen, Livia Casciola‐Rosen, Felipe Andrade, Douglas Hanahan, Dale L. Ludwig, C. Ronald Kahn, Jesper Nylandsted, Mesut Bilgin, Christoph Arenz and Nikolaj H.T. Petersen. Their work appears in journals such as PLoS ONE, npj Precision Oncology, Blood, Cancer Research and Proceedings of the National Academy of Sciences.

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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