Pradip Nair

1.1k total citations · 1 hit paper
22 papers, 767 citations indexed

About

Pradip Nair is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Pradip Nair has authored 22 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 11 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Pradip Nair's work include HER2/EGFR in Cancer Research (4 papers), Cancer-related Molecular Pathways (4 papers) and Cervical Cancer and HPV Research (3 papers). Pradip Nair is often cited by papers focused on HER2/EGFR in Cancer Research (4 papers), Cancer-related Molecular Pathways (4 papers) and Cervical Cancer and HPV Research (3 papers). Pradip Nair collaborates with scholars based in India, Cuba and United States. Pradip Nair's co-authors include Sudhir Krishna, Narendra Chirmule, Kumaravel Somasundaram, M. Radhakrishna Pillai, Enrique Montero, M. Krishnan Nair, S. Lakshmi, Tessy Thomas Maliekal, Geetashree Mukherjee and Balaswamy Reddy and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Pradip Nair

21 papers receiving 744 citations

Hit Papers

Deciphering T-cell exhaustion in the tumor microenvironme... 2025 2026 2025 5 10 15 20

Peers

Pradip Nair
Comparison fields: 5 of 81
  • Molecular Biology 383
  • Oncology 231
  • Immunology 180
  • Epidemiology 115
  • Cancer Research 109
Replace Mónica Béquet‐Romero with:
Mónica Béquet‐Romero Cuba
Yoshiro Kamachi Japan
Katy J. McCann United Kingdom
P L Stern United Kingdom
Qi‐Sheng Feng China
Ilvars Silins Sweden
Sayuri Miyauchi United States
Masashi Matsui Japan
K. Witter Germany
Daniel R. Vlock United States
Mónica Béquet‐Romero Cuba View profile →
Citations per field, relative to Pradip Nair
Pradip Nair · 1×
Citations per year, relative to Pradip Nair
Pradip Nair · 1×

Countries citing papers authored by Pradip Nair

Since Specialization
Citations

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

Fields of papers citing papers by Pradip Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradip Nair

This figure shows the co-authorship network connecting the top 25 collaborators of Pradip Nair. A scholar is included among the top collaborators of Pradip Nair 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 Pradip Nair. Pradip Nair 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
Deciphering T-cell exhaustion in the tumor microenvironment: paving the way for innovative solid tumor therapies breakdown →
21
2 1
3 2
4 2
5 39
6 4
7 0
8 57
9 55
10 82
11
Epidermal growth factor receptor family and its role in cancer progression
30
12 38
13 142
14 22
15 36
16 18
17 18
18 8
19 8
20
Tumor proliferative fraction in infiltrating duct carcinoma.
7

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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