Bipin G. Nair

5.7k total citations
248 papers, 3.9k citations indexed

About

Bipin G. Nair is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Bipin G. Nair has authored 248 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Molecular Biology, 42 papers in Electrical and Electronic Engineering and 35 papers in Cognitive Neuroscience. Recurrent topics in Bipin G. Nair's work include Electrochemical sensors and biosensors (25 papers), Neural dynamics and brain function (22 papers) and Electrochemical Analysis and Applications (19 papers). Bipin G. Nair is often cited by papers focused on Electrochemical sensors and biosensors (25 papers), Neural dynamics and brain function (22 papers) and Electrochemical Analysis and Applications (19 papers). Bipin G. Nair collaborates with scholars based in India, United States and Italy. Bipin G. Nair's co-authors include T G Satheesh Babu, T. Ramachandran, Tarun B. Patel, Shyam Diwakar, Keerthy Dhara, Punathil Vasu Suneesh, Geetha B. Kumar, Sudarslal Sadasivan Nair, Krishnashree Achuthan and Nandita Mishra and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Hepatology.

In The Last Decade

Bipin G. Nair

237 papers receiving 3.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bipin G. Nair India 33 1.7k 779 398 396 283 248 3.9k
Dongdong Zhang China 39 1.7k 1.0× 1.0k 1.3× 524 1.3× 433 1.1× 204 0.7× 161 4.5k
Jianyi Lin Singapore 19 2.6k 1.5× 842 1.1× 255 0.6× 177 0.4× 292 1.0× 56 5.1k
Weihua Huang United States 29 990 0.6× 330 0.4× 519 1.3× 197 0.5× 156 0.6× 129 2.9k
Bingqian Liu China 40 2.6k 1.5× 828 1.1× 1.2k 3.0× 433 1.1× 86 0.3× 175 4.4k
Hong Chen China 35 1.6k 0.9× 405 0.5× 698 1.8× 152 0.4× 118 0.4× 164 3.8k
Inderbir Singh India 34 705 0.4× 513 0.7× 652 1.6× 585 1.5× 121 0.4× 204 4.9k
Guoming Xie China 34 2.9k 1.7× 674 0.9× 1.4k 3.6× 381 1.0× 91 0.3× 146 4.0k
Donald Martin United States 39 2.0k 1.2× 462 0.6× 422 1.1× 141 0.4× 129 0.5× 201 5.5k
Xiaoru Zhang China 37 2.3k 1.4× 868 1.1× 1.0k 2.6× 262 0.7× 82 0.3× 199 4.0k
Ying Tan China 41 2.6k 1.6× 319 0.4× 990 2.5× 156 0.4× 242 0.9× 194 5.8k

Countries citing papers authored by Bipin G. Nair

Since Specialization
Citations

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

Fields of papers citing papers by Bipin G. Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bipin G. Nair

This figure shows the co-authorship network connecting the top 25 collaborators of Bipin G. Nair. A scholar is included among the top collaborators of Bipin G. 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 Bipin G. Nair. Bipin G. 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
1.
2.
Patra, Aparup, Bhargab Kalita, Muralidharan Vanuopadath, et al.. (2025). Proteomic and functional characterisation of Trimeresurus popeiorum (Pope's pit viper) venom proteins: Role of enzymatic and non-enzymatic venom toxins in envenomation pathophysiology. International Journal of Biological Macromolecules. 304(Pt 1). 140638–140638. 1 indexed citations
3.
4.
Vanuopadath, Muralidharan, et al.. (2025). Essential oils modulate virulence phenotypes in a multidrug-resistant pyomelanogenic Pseudomonas aeruginosa clinical isolate. Scientific Reports. 15(1). 3738–3738. 5 indexed citations
5.
6.
Poudel, Saugat, Anand V. Sastry, Kevin Rychel, et al.. (2024). Independent component analysis reveals 49 independently modulated gene sets within the global transcriptional regulatory architecture of multidrug-resistant Acinetobacter baumannii. mSystems. 9(2). e0060623–e0060623. 4 indexed citations
7.
8.
Mangalaparthi, Kiran K., Krishna Patel, Aafaque Ahmad Khan, et al.. (2023). Molecular Characterization of Esophageal Squamous Cell Carcinoma Using Quantitative Proteomics. Cancers. 15(13). 3302–3302. 5 indexed citations
9.
Sainath, S.B., et al.. (2022). Bioconjugation of Meldrum's acid activated furan: A detergent compatible assay for protein quantitation. Analytical Biochemistry. 662. 114998–114998. 5 indexed citations
10.
Chatterjee, Oishi, Kiran K. Mangalaparthi, Firdous Ahmad Bhat, et al.. (2022). Age-Associated Molecular Changes in Human Hippocampus Subfields as Determined by Quantitative Proteomics. OMICS A Journal of Integrative Biology. 26(7). 382–391. 3 indexed citations
11.
Shukla, Nidhi, Jalaja Naravula, Praveen Mathur, et al.. (2021). Vitamin K in human health and metabolism: A nutri-genomics review. Trends in Food Science & Technology. 119. 412–427. 10 indexed citations
12.
Moni, Merlin, Dipu T Sathyapalan, Veena Menon, et al.. (2021). Clinical Efficacy of Inhaled Nitric Oxide in Preventing the Progression of Moderate to Severe COVID-19 and Its Correlation to Viral Clearance: Results of a Pilot Study. SHILAP Revista de lepidopterología. 4(1). 26–33. 3 indexed citations
13.
Binoy, Anupama, Vivek Vinod, Muralidharan Vanuopadath, et al.. (2019). Ginger extract activates caspase independent paraptosis in cancer cells via ER stress, mitochondrial dysfunction, AIF translocation and DNA damage. Nutrition and Cancer. 73(1). 147–159. 30 indexed citations
14.
Suresh, Maneesha K., et al.. (2018). Autolysin mediated adherence of Staphylococcus aureus with Fibronectin, Gelatin and Heparin. International Journal of Biological Macromolecules. 110. 179–184. 38 indexed citations
15.
Nanjappa, Vishalakshi, Santosh Renuse, Gajanan Sathe, et al.. (2015). Chronic exposure to chewing tobacco selects for overexpression of stearoyl-CoA desaturase in normal oral keratinocytes. Cancer Biology & Therapy. 16(11). 1593–1603. 28 indexed citations
16.
Nanjan, Pandurangan, et al.. (2015). Synthesis and discovery of (I-3,II-3)-biacacetin as a novel non-zinc binding inhibitor of MMP-2 and MMP-9. Bioorganic & Medicinal Chemistry. 23(13). 3781–3787. 31 indexed citations
17.
Nair, Bipin G., et al.. (2013). Classifying Movement Articulation for Robotic Arms via Machine Learning. 4(3). 8 indexed citations
18.
Joy, Teresa, Salil Kumar, Bipin G. Nair, et al.. (2013). Assessment of various risk factors of breast cancer. International Journal of Pharmacy and Pharmaceutical Sciences. 5. 7 indexed citations
19.
Madhan, Balaraman, et al.. (2010). Studies on the removal of inter-fibrillary materials part1: removal protein, proteoglycan, glycosoaminoglycans from conventional beamhouse process. Journal of the American Leather Chemists Association. 105(5). 145–149. 8 indexed citations
20.
Saravanan, Parameswaran, et al.. (2009). Phytoremediation of soil using sesuvium portulacastrum-part 1: removal of Na+ and Cl- from tannery wastewater treated soil. Journal of the American Leather Chemists Association. 104(1). 17–24. 3 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Dongdong Zhang Breakdown of academic impact, for papers by Jianyi Lin Breakdown of academic impact, for papers by Weihua Huang Breakdown of academic impact, for papers by Bingqian Liu Breakdown of academic impact, for papers by Hong Chen Breakdown of academic impact, for papers by Inderbir Singh Breakdown of academic impact, for papers by Guoming Xie Breakdown of academic impact, for papers by Donald Martin Breakdown of academic impact, for papers by Xiaoru Zhang Breakdown of academic impact, for papers by Ying Tan
Rankless by CCL
2026