Rénata Ursu

2.7k total citations · 1 hit paper
39 papers, 1.2k citations indexed

About

Rénata Ursu is a scholar working on Genetics, Oncology and Neurology. According to data from OpenAlex, Rénata Ursu has authored 39 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 14 papers in Oncology and 11 papers in Neurology. Recurrent topics in Rénata Ursu's work include Glioma Diagnosis and Treatment (18 papers), CNS Lymphoma Diagnosis and Treatment (6 papers) and CAR-T cell therapy research (6 papers). Rénata Ursu is often cited by papers focused on Glioma Diagnosis and Treatment (18 papers), CNS Lymphoma Diagnosis and Treatment (6 papers) and CAR-T cell therapy research (6 papers). Rénata Ursu collaborates with scholars based in France, Switzerland and Netherlands. Rénata Ursu's co-authors include Alain Carpentier, Cathérine Belin, Stefania Cuzzubbo, Jennifer Doridam, Célèste Lebbé, Annick Tibi, Olivier Chinot, Philippe Métellus, Florence Laigle–Donadey and Olivier Bailon and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Neurology.

In The Last Decade

Rénata Ursu

35 papers receiving 1.2k citations

Hit Papers

Neurological adverse events associated with immune checkp... 2017 2026 2020 2023 2017 100 200 300

Peers

Rénata Ursu
Comparison fields: 5 of 71
  • Oncology 635
  • Pulmonary and Respiratory Medicine 434
  • Genetics 432
  • Immunology 222
  • Neurology 173
Replace Stefania Cuzzubbo with:
Stefania Cuzzubbo France
Philipp Karschnia Germany
Matthew M. Grabowski United States
Christina Jackson United States
Jonathan B. Lamano United States
Benjamin Himes United States
Uğur Sener United States
Alfred T. Ogden United States
Norimoto Nakahara Japan
John McGregor United States
Stefania Cuzzubbo France View profile →
Citations per field, relative to Rénata Ursu
Rénata Ursu · 1×
Citations per year, relative to Rénata Ursu
Rénata Ursu · 1×

Countries citing papers authored by Rénata Ursu

Since Specialization
Citations

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

Fields of papers citing papers by Rénata Ursu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rénata Ursu

This figure shows the co-authorship network connecting the top 25 collaborators of Rénata Ursu. A scholar is included among the top collaborators of Rénata Ursu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rénata Ursu. Rénata Ursu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 2
4 0
5 0
6 2
7 8
8 20
9 3
10 1
11 1
12 13
13 39
14 67
15 28
16 16
17 7
18 24
19 163
20 1

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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