Sayali Onkar

2.1k total citations · 2 hit papers
11 papers, 989 citations indexed

About

Sayali Onkar is a scholar working on Oncology, Immunology and Virology. According to data from OpenAlex, Sayali Onkar has authored 11 papers receiving a total of 989 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 7 papers in Immunology and 4 papers in Virology. Recurrent topics in Sayali Onkar's work include Cancer Immunotherapy and Biomarkers (6 papers), HIV Research and Treatment (4 papers) and Immune cells in cancer (4 papers). Sayali Onkar is often cited by papers focused on Cancer Immunotherapy and Biomarkers (6 papers), HIV Research and Treatment (4 papers) and Immune cells in cancer (4 papers). Sayali Onkar collaborates with scholars based in United States, Germany and Tanzania. Sayali Onkar's co-authors include Tullia C. Bruno, Dario A.A. Vignali, Steffi Oesterreich, Anthony R. Cillo, Ryan J. Soose, Seungwon Kim, Robert L. Ferris, Umamaheswar Duvvuri, Robert Lafyatis and Cornelius Kürten and has published in prestigious journals such as Nature Communications, Immunity and Clinical Cancer Research.

In The Last Decade

Sayali Onkar

11 papers receiving 985 citations

Hit Papers

Immune Landscape of Viral- and Carcinogen-Driven Head and... 2020 2026 2022 2024 2020 2021 100 200 300 400

Peers

Sayali Onkar
Comparison fields: 5 of 73
  • Oncology 539
  • Immunology 497
  • Molecular Biology 382
  • Cancer Research 208
  • Pulmonary and Respiratory Medicine 149
Replace Angen Liu with:
Angen Liu United States
Cornelius Kürten Germany
Martina Álvarez Spain
Anusha-Preethi Ganesan United States
David J. Konieczkowski United States
Robyn D. Gartrell United States
Qian Zhu China
Sugandha Saxena United States
L Deneux France
Nancy P. Judd United States
Angen Liu United States View profile →
Citations per field, relative to Sayali Onkar
Sayali Onkar · 1×
Citations per year, relative to Sayali Onkar
Sayali Onkar · 1×

Countries citing papers authored by Sayali Onkar

Since Specialization
Citations

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

Fields of papers citing papers by Sayali Onkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayali Onkar

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 1
2 35
3 51
4 133
5 54
6
B cell signatures and tertiary lymphoid structures contribute to outcome in head and neck squamous cell carcinoma breakdown →
230
7 4
8
Immune Landscape of Viral- and Carcinogen-Driven Head and Neck Cancer breakdown →
452
9 17
10 10
11 2

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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