Naseem Kerr

2.3k total citations · 1 hit paper
8 papers, 782 citations indexed

About

Naseem Kerr is a scholar working on Oncology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Naseem Kerr has authored 8 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 2 papers in Genetics and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Naseem Kerr's work include CAR-T cell therapy research (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Clinical practice guidelines implementation (1 paper). Naseem Kerr is often cited by papers focused on CAR-T cell therapy research (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Clinical practice guidelines implementation (1 paper). Naseem Kerr collaborates with scholars based in United Kingdom and United States. Naseem Kerr's co-authors include D Veale, Adrian L. Harris, G J Gibson, Bruce L. Levine, Simon F. Lacey, Marcela V. Maus, Carl H. June, Brendan M. Weiss, Zhaohui Zheng and Yolanda D. Mahnke and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Naseem Kerr

8 papers receiving 766 citations

Hit Papers

Chimeric Antigen Receptor T Cells against CD19 for Multip... 2015 2026 2018 2022 2015 100 200 300 400

Peers

Naseem Kerr
Comparison fields: 5 of 57
  • Oncology 606
  • Molecular Biology 306
  • Immunology 191
  • Pulmonary and Respiratory Medicine 160
  • Hematology 131
Replace Lida Pacaud with:
Lida Pacaud United States
Sareetha Kailayangiri Germany
Xingwei Sui Japan
Christian Seitz Germany
Haiyan Yang China
Maria-Elisabeth Goebeler Germany
Slava Stamova Germany
Lucy Gong United States
Cecilia Carpio Spain
Lekha Mikkilineni United States
Lida Pacaud United States View profile →
Citations per field, relative to Naseem Kerr
Naseem Kerr · 1×
Citations per year, relative to Naseem Kerr
Naseem Kerr · 1×

Countries citing papers authored by Naseem Kerr

Since Specialization
Citations

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

Fields of papers citing papers by Naseem Kerr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naseem Kerr

This figure shows the co-authorship network connecting the top 25 collaborators of Naseem Kerr. A scholar is included among the top collaborators of Naseem Kerr 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 Naseem Kerr. Naseem Kerr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
# Work Indexed citations
1
Chimeric Antigen Receptor T Cells against CD19 for Multiple Myeloma breakdown →
434
2 17
3 8
4 2
5 200
6 91
7 29
8 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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