Jarushka Naidoo

22.9k citations
176 papers · 7.2k indexed · 5 hit papers · h-index 39
Topics
Cancer Immunotherapy and Biomarkers (123 papers)Lung Cancer Treatments and Mutations (65 papers)Colorectal Cancer Treatments and Studies (46 papers)
Journals
Nature CommunicationsJournal of Clinical OncologySHILAP Revista de lepidopterología

In The Last Decade

Jarushka Naidoo

167 papers receiving 7.1k citations

Hit Papers

Toxicities of the anti-PD-1 and anti-PD-L1 immune checkpo...2015202620182022201520192016202020222505007501000

Peers

Jarushka Naidoo
Comparison fields: 5 of 127
  • Oncology 5.7k
  • Pulmonary and Respiratory Medicine 2.6k
  • Immunology 1.4k
  • Molecular Biology 981
  • Epidemiology 853
Replace Evan J. Lipson with:
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Jarushka Naidoo relative to Evan J. Lipson United States Evan J. Lipson's profile →
Citations per field
00.5×1.5×
Evan J. Lipson · 1×
Citations per year

Countries citing papers authored by Jarushka Naidoo

Since Specialization
Citations

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

Fields of papers citing papers by Jarushka Naidoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jarushka Naidoo

This figure shows the co-authorship network connecting the top 25 collaborators of Jarushka Naidoo. A scholar is included among the top collaborators of Jarushka Naidoo 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 Jarushka Naidoo. Jarushka Naidoo 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 2
2 0
3 1
4 6
5 3
6 14
7 9
8 14
9 5
10 53
11 15
12 27
13
Immunotherapy for Stage III NSCLC: Durvalumab and Beyond
8
14 12
15 39
16 96
17 99
18 73
19
Next-Generation Sequencing of Pulmonary Large Cell Neuroendocrine Carcinoma Reveals Small Cell Carcinoma–like and Non–Small Cell Carcinoma–like Subsetsbreakdown →
325
20
Molecular Diagnostic Testing in Non-Small Cell Lung Cancer
11

About Jarushka Naidoo

Jarushka Naidoo is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Immunology, having authored 176 papers that have together received 7.2k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (123 papers), Lung Cancer Treatments and Mutations (65 papers) and Colorectal Cancer Treatments and Studies (46 papers). The work is most often cited by research in Oncology (5.7k citations), Pulmonary and Respiratory Medicine (2.6k citations) and Immunology (1.4k citations). Jarushka Naidoo has collaborated with scholars based in United States, Ireland and Italy. Frequent co-authors include Jedd D. Wolchok, David B. Page, Katja Schindler, Bob T. Li, Mario E. Lacouture, Michael A. Postow, Louise C. Connell, Julie R. Brahmer, Evan J. Lipson and Patrick M. Forde. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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