Nir Peled

42.5k citations
305 papers · 17.9k indexed · 5 hit papers · h-index 53

Nir Peled

291 papers receiving 17.6k citations

Hit Papers

Five-Year Outcomes With Pembro...61620122026201620212.0k4.0k6.0k

Peers

Nir Peled
Comparison fields: 5 of 158
  • Oncology 10.2k
  • Pulmonary and Respiratory Medicine 8.9k
  • Cancer Research 2.0k
  • Immunology 2.1k
  • Endocrine and Autonomic Systems 596
Replace Meinrad Gawaz with:
Meinrad Gawaz Germany
David A. Geller United States
Harvey I. Pass United States
Herbert M. Pinedo Netherlands
Shaf Keshavjee Canada
Hiroyuki Kuwano Japan
William E. Grizzle United States
Thomas K. Waddell Canada
Yuichiro� Doki Japan
Markus W. Büchler Germany
Nir Peled relative to Meinrad Gawaz Germany Meinrad Gawaz's profile →
Citations per field
00.5×4.0×
Meinrad Gawaz · 1×
Citations per year

Countries citing papers authored by Nir Peled

Since Specialization
Citations

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

Fields of papers citing papers by Nir Peled

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Nir Peled, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nir Peled Line = papers co-authored together Nir Peled links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20242
5 20241
6 20242
7 20233
8 202325
9 20231
10 202154
11 20204
12 20202
13
Circulating Tumor DNA T790M Testing as a Predictor of Osimertinib Efficacy in Epidermal Growth Factor Receptor Mutant Non-small Cell Lung Cancer: A Single Center Experience.
20191
14 20190
15 20198
16 201749
17 20171
18 201617
19 200215
20 199740

About Nir Peled

Nir Peled is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Endocrine and Autonomic Systems and Endocrinology, having authored 305 papers that have together received 17.9k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (122 papers), Cancer Immunotherapy and Biomarkers (54 papers), Lung Cancer Diagnosis and Treatment (52 papers), Lung Cancer Research Studies (41 papers), Cancer Genomics and Diagnostics (37 papers), Colorectal Cancer Treatments and Studies (30 papers), Advanced Chemical Sensor Technologies (23 papers) and Obstructive Sleep Apnea Research (12 papers). The work is most often cited by research in Oncology (10.2k citations), Pulmonary and Respiratory Medicine (8.9k citations), Cancer Research (2.0k citations), Immunology (2.1k citations) and Endocrine and Autonomic Systems (596 citations). Nir Peled has collaborated with scholars based in Israel, United States and Spain. Frequent co-authors include Rina Hui, Delvys Rodríguez‐Abreu, Maya Gottfried, Sinéad Cuffe, Ali Tafreshi, Katsuyuki Hotta, Julie R. Brahmer, Andrew Robinson, Suman Rao and Tibor Csőszi. Their work appears in journals such as Journal of Thoracic Oncology, Journal of Clinical Oncology, Annals of Oncology, European Journal of Clinical Microbiology & Infectious Diseases and Cancer Research.

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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