Nilanjan Roy

2.5k total citations
68 papers, 2.0k citations indexed

About

Nilanjan Roy is a scholar working on Molecular Biology, Organic Chemistry and Infectious Diseases. According to data from OpenAlex, Nilanjan Roy has authored 68 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 10 papers in Organic Chemistry and 9 papers in Infectious Diseases. Recurrent topics in Nilanjan Roy's work include Genetics, Aging, and Longevity in Model Organisms (8 papers), Computational Drug Discovery Methods (8 papers) and Fungal and yeast genetics research (8 papers). Nilanjan Roy is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (8 papers), Computational Drug Discovery Methods (8 papers) and Fungal and yeast genetics research (8 papers). Nilanjan Roy collaborates with scholars based in India, Portugal and United Kingdom. Nilanjan Roy's co-authors include Dulal Panda, Dipti Rai, Jayant K. Singh, Simranjeet Kaur, Kurt W. Runge, Shyam Sundar Sharma, Niraj Modi, Nitish Mittal, Vineet Agrawal and Sumit Deswal and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Nilanjan Roy

66 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nilanjan Roy India 23 930 306 280 211 208 68 2.0k
Xiaoyun Dai United States 25 2.3k 2.4× 84 0.3× 254 0.9× 253 1.2× 139 0.7× 38 3.7k
Matthew W. Frank United States 30 1.7k 1.8× 257 0.8× 114 0.4× 160 0.8× 167 0.8× 63 2.9k
Darrell E. Anderson United States 18 914 1.0× 98 0.3× 108 0.4× 122 0.6× 197 0.9× 32 2.3k
Xue Lei China 12 1.2k 1.3× 57 0.2× 205 0.7× 185 0.9× 234 1.1× 51 2.4k
Ran Duan China 23 1.2k 1.3× 243 0.8× 59 0.2× 85 0.4× 116 0.6× 88 2.1k
Gulam Mustafa Hasan India 29 1.4k 1.5× 87 0.3× 352 1.3× 224 1.1× 141 0.7× 62 3.1k
Anand K. Kondapi India 30 896 1.0× 143 0.5× 574 2.0× 85 0.4× 119 0.6× 79 2.1k
Huiying Wang China 23 862 0.9× 263 0.9× 61 0.2× 257 1.2× 86 0.4× 114 1.9k
Cheol-Hee Choi South Korea 22 1.0k 1.1× 53 0.2× 97 0.3× 99 0.5× 117 0.6× 55 1.9k
Lars I. Leichert Germany 25 1.7k 1.9× 82 0.3× 111 0.4× 141 0.7× 363 1.7× 59 2.7k

Countries citing papers authored by Nilanjan Roy

Since Specialization
Citations

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

Fields of papers citing papers by Nilanjan Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nilanjan Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Nilanjan Roy. A scholar is included among the top collaborators of Nilanjan Roy 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 Nilanjan Roy. Nilanjan Roy 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.
Mazumder, Arpita & Nilanjan Roy. (2020). Cytokine Storm in COVID-19 in Diabetic Patients: A Review. S46–S49. 1 indexed citations
2.
Chauhan, Jenabhai B., et al.. (2016). Association of an Intronic Variant of Faciogenital Dysplasia 1 (FGD1) Gene with X-linked Intellectual Disability.. Current Pediatric Research. 20(2). 282–287.
3.
Dhandhukia, Pinakin, et al.. (2015). Screening of potential targets in Plasmodium falciparum using stage-specific metabolic network analysis. Molecular Diversity. 19(4). 991–1002. 6 indexed citations
4.
Silva, Diana F., J. Eva Selfridge, Jianghua Lu, et al.. (2013). Bioenergetic flux, mitochondrial mass and mitochondrial morphology dynamics in AD and MCI cybrid cell lines. Human Molecular Genetics. 22(19). 3931–3946. 115 indexed citations
5.
Lima, Raquel T., Joanna Grabowska, Giovanna Bermano, et al.. (2013). Cytotoxicity and Cell Death Mechanisms Induced by a Novel Bisnaphthalimidopropyl Derivative against the NCI-H460 non-small Lung Cancer Cell Line. Anti-Cancer Agents in Medicinal Chemistry. 13(3). 414–421. 10 indexed citations
6.
Tavares, Joana, Ali Ouaissi, Ana Marta Silva, et al.. (2011). Anti-leishmanial activity of the bisnaphthalimidopropyl derivatives. Parasitology International. 61(2). 360–363. 17 indexed citations
7.
Sharma, Praveen Kumar, Nitish Mittal, Sumit Deswal, & Nilanjan Roy. (2010). Calorie restriction up-regulates iron and coppertransportgenes in Saccharomyces cerevisiae. Molecular BioSystems. 7(2). 394–402. 9 indexed citations
8.
Dhami, Sukhraj Pal Singh, Nitish Mittal, Sarath Chandra Janga, & Nilanjan Roy. (2010). Comparative analysis of gene expression and regulation of replicative aging associated genes in S. cerevisiae. Molecular BioSystems. 7(2). 403–410. 2 indexed citations
9.
Sharma, Praveen Kumar, Vineet Agrawal, & Nilanjan Roy. (2010). Mitochondria-mediated hormetic response in life span extension of calorie-restricted Saccharomyces cerevisiae. AGE. 33(2). 143–154. 40 indexed citations
10.
Kumar, Deepak, et al.. (2009). Synthesis and antibacterial activity of benzyl-[3-(benzylamino-methyl)-cyclohexylmethyl]-amine derivatives. Bioorganic & Medicinal Chemistry Letters. 20(3). 893–895. 12 indexed citations
11.
Gupta, Pawan, Nilanjan Roy, & Prabha Garg. (2009). Docking-based 3D-QSAR study of HIV-1 integrase inhibitors. European Journal of Medicinal Chemistry. 44(11). 4276–4287. 30 indexed citations
12.
Jain, Deepti, Nilanjan Roy, & Debasis Chattopadhyay. (2009). CaZF, a Plant Transcription Factor Functions through and Parallel to HOG and Calcineurin Pathways in Saccharomyces cerevisiae to Provide Osmotolerance. PLoS ONE. 4(4). e5154–e5154. 24 indexed citations
13.
Kaur, Simranjeet, et al.. (2009). LeishBase: Leishmania major structural database.. 7(2). 63–68. 2 indexed citations
14.
Nandy, Aditya, et al.. (2008). Stream Sediment and Soil Samples by Microwave Digestion Followed by ICP-MS Measurement. Atomic Spectroscopy. 29(4). 115–123. 2 indexed citations
15.
Kadam, Rameshwar U., Archana G. Chavan, Vikramdeep Monga, et al.. (2008). Selectivity-based QSAR approach for screening and evaluation of TRH analogs for TRH-R1 and TRH-R2 receptors subtypes. Journal of Molecular Graphics and Modelling. 27(3). 309–320. 2 indexed citations
16.
Deswal, Sumit & Nilanjan Roy. (2006). A novel range based QSAR study of human neuropeptide Y (NPY) Y5 receptor inhibitors. European Journal of Medicinal Chemistry. 42(4). 463–470. 14 indexed citations
17.
Deswal, Sumit & Nilanjan Roy. (2006). Quantitative structure activity relationship of benzoxazinone derivatives as neuropeptide Y Y5 receptor antagonists. European Journal of Medicinal Chemistry. 41(4). 552–557. 8 indexed citations
18.
Roy, Nilanjan, et al.. (2005). Meta-analysis of glutathione S-transferase M1 genotype and risk toward head and neck cancer. Head & Neck. 28(3). 217–224. 33 indexed citations
19.
Roy, Nilanjan & Kurt W. Runge. (2000). Two paralogs involved in transcriptional silencing that antagonistically control yeast life span. Current Biology. 10(2). 111–114. 69 indexed citations
20.

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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