Nitin Bhardwaj

8.7k total citations
103 papers, 2.3k citations indexed

About

Nitin Bhardwaj is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Nitin Bhardwaj has authored 103 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 12 papers in Epidemiology and 10 papers in Physiology. Recurrent topics in Nitin Bhardwaj's work include Bioinformatics and Genomic Networks (10 papers), Erythrocyte Function and Pathophysiology (9 papers) and Machine Learning in Bioinformatics (6 papers). Nitin Bhardwaj is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Erythrocyte Function and Pathophysiology (9 papers) and Machine Learning in Bioinformatics (6 papers). Nitin Bhardwaj collaborates with scholars based in India, United States and Canada. Nitin Bhardwaj's co-authors include Mark Gerstein, Hui Lü, M Snyder, Joel Rozowsky, Koon‐Kiu Yan, Chao Cheng, Gang Fang, Robert V. Stahelin, Jing Leng and Rajiv K. Saxena and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Nitin Bhardwaj

93 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nitin Bhardwaj India 25 1.5k 263 205 175 172 103 2.3k
Zhiqiang Du China 25 1.2k 0.8× 357 1.4× 255 1.2× 91 0.5× 105 0.6× 94 2.2k
Bryan Frank United States 27 1.7k 1.1× 377 1.4× 177 0.9× 75 0.4× 122 0.7× 41 2.7k
Florian Richter Germany 26 2.4k 1.6× 201 0.8× 155 0.8× 76 0.4× 193 1.1× 51 3.1k
Shawn Hoon Singapore 28 2.7k 1.8× 388 1.5× 273 1.3× 198 1.1× 175 1.0× 64 4.1k
Jae‐Seong Yang South Korea 25 1.7k 1.1× 213 0.8× 96 0.5× 150 0.9× 131 0.8× 65 2.8k
Weiwei Wang China 29 1.5k 1.0× 319 1.2× 185 0.9× 66 0.4× 99 0.6× 103 2.6k
Rongfeng Li China 35 1.4k 0.9× 581 2.2× 55 0.3× 84 0.5× 223 1.3× 109 3.0k
Zhenjun Hu United States 20 1.2k 0.8× 157 0.6× 106 0.5× 71 0.4× 68 0.4× 36 1.8k
Chenwei Wang China 28 1.2k 0.8× 91 0.3× 265 1.3× 197 1.1× 224 1.3× 102 2.5k

Countries citing papers authored by Nitin Bhardwaj

Since Specialization
Citations

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

Fields of papers citing papers by Nitin Bhardwaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitin Bhardwaj

This figure shows the co-authorship network connecting the top 25 collaborators of Nitin Bhardwaj. A scholar is included among the top collaborators of Nitin Bhardwaj 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 Nitin Bhardwaj. Nitin Bhardwaj 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
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Diamanti, Maria Vittoria, et al.. (2025). Machine learning-driven stability analysis of eco-friendly superhydrophobic graphene-based coatings on copper substrate. Scientific Reports. 15(1). 34602–34602. 1 indexed citations
3.
Bhardwaj, Nitin, et al.. (2025). Bisphenol-A-induced ovarian cancer: Changes in epithelial diversity, apoptosis, antioxidant and anti-inflammatory mechanisms. Reproductive Toxicology. 135. 108909–108909. 2 indexed citations
4.
Bhardwaj, Nitin, et al.. (2024). Impact of sphingolipid synthesis inhibition on the drug susceptibility patterns of Trichophyton species. Diagnostic Microbiology and Infectious Disease. 109(2). 116283–116283. 1 indexed citations
5.
Kumar, Vivek, et al.. (2024). Wearable electro-optical sensor for monitoring of nitrogen dioxide gas in environment. Sensors and Actuators A Physical. 379. 115870–115870.
6.
Kumar, Manish, et al.. (2024). Heart disease prediction using machine learning algorithms. SHILAP Revista de lepidopterología. 392. 1122–1122. 5 indexed citations
7.
Bhardwaj, Nitin, et al.. (2024). Inter-organ differences in redox imbalance and apoptosis depict metabolic resilience in migratory redheaded buntings. Scientific Reports. 14(1). 20184–20184. 4 indexed citations
8.
Chandra, Harish, Rajendra Prasad, Nitin Bhardwaj, et al.. (2024). COVID 19: Prevention and treatment through the Indian perspective. Cytokine. 183. 156756–156756. 1 indexed citations
9.
Shukla, Prashant, et al.. (2024). Prototyping a wearable and stretchable graphene-on-PDMS sensor for strain detection on human body physiological and joint movements. Microchimica Acta. 191(6). 301–301. 3 indexed citations
10.
Bhardwaj, Nitin, et al.. (2024). Modulation of Redox Metabolism, CD147, and CD47 Expression with the Maturation of Hematopoietic Stem Cells in Bone Marrow. Indian Journal of Hematology and Blood Transfusion. 41(3). 629–639. 1 indexed citations
11.
Stewart, Erin, et al.. (2022). Analytical Validation of a Deep Neural Network Algorithm for the Detection of Ovarian Cancer. JCO Clinical Cancer Informatics. 6(6). e2100192–e2100192. 15 indexed citations
12.
Gupta, Kartikey Kumar, Nitin Bhardwaj, Najla Altwaijry, et al.. (2022). The integrative bioinformatics approaches to predict the xanthohumol as anti-breast cancer molecule: Targeting cancer cells signaling PI3K and AKT kinase pathway. Frontiers in Oncology. 12. 950835–950835. 13 indexed citations
13.
14.
Meerschaert, Kris, Ciska Boucherie, Berlinda Vanloo, et al.. (2009). The PDZ2 domain of zonula occludens-1 and -2 is a phosphoinositide binding domain. Cellular and Molecular Life Sciences. 66(24). 3951–3966. 40 indexed citations
15.
Manna, Debasis, Nitin Bhardwaj, Mohsin Vora, et al.. (2008). Differential Roles of Phosphatidylserine, PtdIns(4,5)P2, and PtdIns(3,4,5)P3 in Plasma Membrane Targeting of C2 Domains. Journal of Biological Chemistry. 283(38). 26047–26058. 72 indexed citations
16.
Bhardwaj, Nitin, et al.. (2007). A Metric for The Activeness of an Object Oriented Component Library.. Software Engineering Research and Practice. 704–709. 1 indexed citations
17.
Langlois, Robert, Matthew B. Carson, Nitin Bhardwaj, & Hui Lü. (2007). Learning to Translate Sequence and Structure to Function: Identifying DNA Binding and Membrane Binding Proteins. Annals of Biomedical Engineering. 35(6). 1043–1052. 15 indexed citations
18.
Bhardwaj, Nitin, et al.. (2005). Development and Evaluation of a single vial cold kit for infection imaging: Tc-99m Ciprofloxacin. World Journal of Nuclear Medicine. 4(4). 244. 10 indexed citations
19.
Kataria, J.M., et al.. (2003). Purification of infectious bronchitis virus propagated in embryonated chicken eggs and its confirmation by RT-PCR. Indian Journal of Comparative Microbiology Immunology and Infectious Diseases. 24(2). 143–147. 3 indexed citations
20.
Bhardwaj, Nitin, et al.. (2003). Detection of chicken anaemia virus and avian reovirus by polymerase chain reaction and fluorescent antibody test in various tissues from experimentally co-infected chicks. Indian Journal of Comparative Microbiology Immunology and Infectious Diseases. 24(2). 125–131. 2 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.

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