Sujit Nair

3.4k citations
65 papers · 2.7k indexed · h-index 25
Topics
Genomics, phytochemicals, and oxidative stress (19 papers)MicroRNA in disease regulation (7 papers)Glutathione Transferases and Polymorphisms (7 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaCancer Research
Partner nations
IndiaUnited StatesSpain

In The Last Decade

Sujit Nair

60 papers receiving 2.6k citations

Peers

Sujit Nair
Comparison fields: 5 of 116
  • Molecular Biology 1.7k
  • Biochemistry 311
  • Plant Science 300
  • Oncology 298
  • Organic Chemistry 277
Replace Sung‐Kwon Moon with:
Sung‐Kwon Moon South Korea
Jong‐Wook Park South Korea
Violetta Krajka‐Kuźniak Poland
Rong Hu United States
Gopalakrishnan Ramakrishnan United States
Dharambir Kashyap India
Francesca De Amicis Italy
Xiuzhen Han China
Guoxiang Shen United States
Sanjeev Shukla United States
Sujit Nair relative to Sung‐Kwon Moon South Korea Sung‐Kwon Moon's profile →
Citations per field
00.5×1.5×
Sung‐Kwon Moon · 1×
Citations per year

Countries citing papers authored by Sujit Nair

Since Specialization
Citations

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

Fields of papers citing papers by Sujit Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujit Nair

This figure shows the co-authorship network connecting the top 25 collaborators of Sujit Nair. A scholar is included among the top collaborators of Sujit 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 Sujit Nair. Sujit 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
#WorkIndexed citations
1 0
2 1
3 0
4 1
5 2
6 0
7 9
8 2
9 2
10 23
11 0
12 10
13 35
14 68
15 32
16 119
17 14
18 18
19 8
20 18

About Sujit Nair

Sujit Nair is a scholar working on Complementary and alternative medicine, Cancer Research and Aging, having authored 65 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (19 papers), MicroRNA in disease regulation (7 papers) and Glutathione Transferases and Polymorphisms (7 papers). The work is most often cited by research in Biochemistry (311 citations), Molecular Biology (1.7k citations) and Toxicology (83 citations). Sujit Nair has collaborated with scholars based in India, United States and Spain. Frequent co-authors include Ah‐Ng Tony Kong, Guoxiang Shen, Wenge Li, Vidya Hebbar, Changjiang Xu, Rong Hu, Wen Lin, Tin Oo Khor, Chi Chen and Mohit Raja Jain. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología 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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