Kevin J. Curran

17.1k citations
94 papers · 5.3k indexed · 2 hit papers · h-index 32
Topics
CAR-T cell therapy research (48 papers)Acute Lymphoblastic Leukemia research (23 papers)Virus-based gene therapy research (16 papers)

In The Last Decade

Kevin J. Curran

89 papers receiving 5.2k citations

Hit Papers

Long-Term Follow-up of CD19 CAR Therapy in Acute Lymphobl...20162026201920222018201650010001.5k

Peers

Kevin J. Curran
Comparison fields: 5 of 119
  • Oncology 3.6k
  • Molecular Biology 1.9k
  • Immunology 1.3k
  • Genetics 1.1k
  • Biomedical Engineering 973
Replace Stefano Indraccolo with:
Stefano Indraccolo Italy
Y. Gloria Meng United States
Kimberly R. Kalli United States
Stanley B. Kaye United Kingdom
Roger A. Greenberg United States
Arno Velds Netherlands
Anna Borodovsky United States
Paul J. Neeson Australia
Ulrich H. Weidle Germany
H. Trent Spencer United States
Kevin J. Curran relative to Stefano Indraccolo Italy Stefano Indraccolo's profile →
Citations per field
00.5×3.5×
Stefano Indraccolo · 1×
Citations per year

Countries citing papers authored by Kevin J. Curran

Since Specialization
Citations

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

Fields of papers citing papers by Kevin J. Curran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin J. Curran. 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 Kevin J. Curran. The network helps show where Kevin J. Curran may publish in the future.

Co-authorship network of co-authors of Kevin J. Curran

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin J. Curran. A scholar is included among the top collaborators of Kevin J. Curran 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 Kevin J. Curran. Kevin J. Curran 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
#WorkIndexed citations
1 0
2 1
3 0
4 1
5 5
6 5
7 2
8 3
9 1
10 1
11
Toxicity and management in CAR T-cell therapybreakdown →
661
12 9
13 188
14 162
15 22
16 277
17 42
18 23
19
Thiourea Inhibitors of Herpesviruses Part 3: Inhibitors of VZV
2
20 41

About Kevin J. Curran

Kevin J. Curran is a scholar working on Oncology, Hematology and Transplantation, having authored 94 papers that have together received 5.3k indexed citations. Recurring topics across this work include CAR-T cell therapy research (48 papers), Acute Lymphoblastic Leukemia research (23 papers) and Virus-based gene therapy research (16 papers). The work is most often cited by research in Oncology (3.6k citations), Immunology (1.3k citations) and Hematology (440 citations). Kevin J. Curran has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Renier J. Brentjens, Challice L. Bonifant, Jae H. Park, Michel Sadelain, Isabelle Rivière, Xiuyan Wang, Marco L. Davila, Craig S. Sauter, Brigitte Sénéchal and Mithat Gönen. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical 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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