Naiyer A. Rizvi

64.8k citations
275 papers · 15.0k indexed · 10 hit papers · h-index 61
Topics
Lung Cancer Treatments and Mutations (140 papers)Cancer Immunotherapy and Biomarkers (134 papers)Lung Cancer Research Studies (59 papers)

In The Last Decade

Naiyer A. Rizvi

267 papers receiving 14.7k citations

Hit Papers

Patient HLA class I genotype influ...200420262011201820172016201820042006200400600

Peers

Naiyer A. Rizvi
Comparison fields: 5 of 136
  • Oncology 11.0k
  • Pulmonary and Respiratory Medicine 7.7k
  • Molecular Biology 3.5k
  • Immunology 3.0k
  • Cancer Research 2.2k
Replace Scott Gettinger with:
Scott Gettinger United States
Laura Q.M. Chow United States
Ji‐Youn Han South Korea
Sarina A. Piha‐Paul United States
Amita Patnaik United States
Julien Mazières France
Benjamin Besse France
José Luis Perez‐Gracia Spain
James L. Gulley United States
Toshihiko Doi Japan
Naiyer A. Rizvi relative to Scott Gettinger United States Scott Gettinger's profile →
Citations per field
00.5×1.5×
Scott Gettinger · 1×
Citations per year

Countries citing papers authored by Naiyer A. Rizvi

Since Specialization
Citations

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

Fields of papers citing papers by Naiyer A. Rizvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Naiyer A. Rizvi. 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 Naiyer A. Rizvi. The network helps show where Naiyer A. Rizvi may publish in the future.

Co-authorship network of co-authors of Naiyer A. Rizvi

This figure shows the co-authorship network connecting the top 25 collaborators of Naiyer A. Rizvi. A scholar is included among the top collaborators of Naiyer A. Rizvi 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 Naiyer A. Rizvi. Naiyer A. Rizvi 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 4
2 7
3 24
4 3
5 37
6 13
7 38
8 63
9 86
10 40
11 38
12
Patient HLA class I genotype influences cancer response to checkpoint blockade immunotherapybreakdown →
738
13 202
14 7
15 74
16 122
17 132
18 82
19 194
20
A phase II study of XL647 in patients with non-small cell lung cancer (NSCLC) enriched for presence of EGFR mutations
2

About Naiyer A. Rizvi

Naiyer A. Rizvi is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 275 papers that have together received 15.0k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (140 papers), Cancer Immunotherapy and Biomarkers (134 papers) and Lung Cancer Research Studies (59 papers). The work is most often cited by research in Oncology (11.0k citations), Pulmonary and Respiratory Medicine (7.7k citations) and Cancer Research (2.2k citations). Naiyer A. Rizvi has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Mark G. Kris, Vincent A. Miller, Scott Antonia, Matthew D. Hellmann, William Pao, Gregory J. Riely, Scott Gettinger, Laura Q.M. Chow, Christopher G. Azzoli and Hossein Borghaei. Their work appears in journals such as Nature, Science and Nature Medicine.

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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