Samik Upadhaya

1.9k total citations · 1 hit paper
31 papers, 1.3k citations indexed

About

Samik Upadhaya is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Samik Upadhaya has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 10 papers in Oncology and 7 papers in Molecular Biology. Recurrent topics in Samik Upadhaya's work include CAR-T cell therapy research (6 papers), Hematopoietic Stem Cell Transplantation (5 papers) and T-cell and B-cell Immunology (5 papers). Samik Upadhaya is often cited by papers focused on CAR-T cell therapy research (6 papers), Hematopoietic Stem Cell Transplantation (5 papers) and T-cell and B-cell Immunology (5 papers). Samik Upadhaya collaborates with scholars based in United States, France and Australia. Samik Upadhaya's co-authors include Jia Xin Yu, Jeffrey P. Hodge, Boris Reizis, Vanessa M. Hubbard-Lucey, Jay R. Campbell, Catherine M. Sawai, Cristina Oliva, Jue Feng, Colleen M. Lau and Anton Goloborodko and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Samik Upadhaya

29 papers receiving 1.3k citations

Hit Papers

Challenges and opportunities in the PD1/PDL1 inhibitor cl... 2022 2026 2023 2024 2022 40 80 120

Peers

Samik Upadhaya
Comparison fields: 5 of 117
  • Immunology 572
  • Oncology 536
  • Molecular Biology 372
  • Hematology 254
  • Biomedical Engineering 133
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Citations per field, relative to Samik Upadhaya
Samik Upadhaya · 1×
Citations per year, relative to Samik Upadhaya
Samik Upadhaya · 1×

Countries citing papers authored by Samik Upadhaya

Since Specialization
Citations

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

Fields of papers citing papers by Samik Upadhaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samik Upadhaya

This figure shows the co-authorship network connecting the top 25 collaborators of Samik Upadhaya. A scholar is included among the top collaborators of Samik Upadhaya 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 Samik Upadhaya. Samik Upadhaya 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
# Work Indexed citations
1 0
2 1
3 12
4 7
5 0
6 15
7 56
8 69
9
Challenges and opportunities in the PD1/PDL1 inhibitor clinical trial landscape breakdown →
134
10 6
11 23
12 52
13 123
14 59
15 11
16 283
17
Water as life, death, and power: Building an integrated interdisciplinary course combining perspectives from anthropology, biology, and chemistry
9
18 9
19 24
20 39

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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