Krishnadas Nandagopal

567 total citations
28 papers, 425 citations indexed

About

Krishnadas Nandagopal is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Krishnadas Nandagopal has authored 28 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Genetics and 5 papers in Oncology. Recurrent topics in Krishnadas Nandagopal's work include Genetics and Neurodevelopmental Disorders (7 papers), HER2/EGFR in Cancer Research (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Krishnadas Nandagopal is often cited by papers focused on Genetics and Neurodevelopmental Disorders (7 papers), HER2/EGFR in Cancer Research (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Krishnadas Nandagopal collaborates with scholars based in India, United States and United Kingdom. Krishnadas Nandagopal's co-authors include Valina L. Dawson, Ted M. Dawson, Swagata Sinha, Anindita Chatterjee, Prasanta Kumar Gangopadhyay, Salil K. Niyogi, Sumita Jha, Biswabhusan Dash, Manoranjan Singh and Mihir Halder and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Krishnadas Nandagopal

26 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Krishnadas Nandagopal India 9 137 109 82 69 59 28 425
Michael D. Lovelace Australia 13 198 1.4× 104 1.0× 70 0.9× 67 1.0× 33 0.6× 22 708
Anastasiia S. Boiko Russia 15 119 0.9× 172 1.6× 30 0.4× 77 1.1× 18 0.3× 68 596
Sohaila Erfani Iran 12 95 0.7× 36 0.3× 36 0.4× 57 0.8× 39 0.7× 15 474
Najma A. Janjua Japan 15 203 1.5× 166 1.5× 47 0.6× 308 4.5× 89 1.5× 33 612
Xiaoting Zheng China 12 169 1.2× 26 0.2× 45 0.5× 171 2.5× 56 0.9× 34 527
Milena Atanasova Bulgaria 14 83 0.6× 46 0.4× 18 0.2× 82 1.2× 27 0.5× 48 541
Arezo Nahavandi Iran 16 104 0.8× 46 0.4× 24 0.3× 133 1.9× 29 0.5× 33 556
Vernon Rowe United States 12 112 0.8× 100 0.9× 107 1.3× 78 1.1× 23 0.4× 24 424
Marija Milenković Serbia 13 163 1.2× 36 0.3× 64 0.8× 175 2.5× 23 0.4× 44 456
Yanyan Wang China 15 196 1.4× 54 0.5× 64 0.8× 53 0.8× 58 1.0× 36 639

Countries citing papers authored by Krishnadas Nandagopal

Since Specialization
Citations

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

Fields of papers citing papers by Krishnadas Nandagopal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishnadas Nandagopal

This figure shows the co-authorship network connecting the top 25 collaborators of Krishnadas Nandagopal. A scholar is included among the top collaborators of Krishnadas Nandagopal 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 Krishnadas Nandagopal. Krishnadas Nandagopal 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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Nandagopal, Krishnadas, et al.. (2024). Streptococcus anginosus orchestrates antibacterial potential of NETs facilitating survival of accompanying pathogens. Microbiological Research. 290. 127959–127959. 1 indexed citations
3.
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Ghosh, Saurabh, et al.. (2020). Bengali translations, reliability assessment and validations of four happiness scales in a representative population from Kolkata, India. International Journal of Indian Psychology. 8(4). 5 indexed citations
5.
Nandagopal, Krishnadas, Mihir Halder, Biswabhusan Dash, Sanghamitra Nayak, & Sumita Jha. (2017). Biotechnological Approaches for Production of Anti-Cancerous Compounds Resveratrol, Podophyllotoxin and Zerumbone. Current Medicinal Chemistry. 25(36). 4693–4717. 29 indexed citations
6.
Nandagopal, Krishnadas, et al.. (2016). Molecular characterization of some Indian Aloe vera populations through RAPD and ITS markers. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 151(4). 695–703. 4 indexed citations
7.
Nandagopal, Krishnadas, et al.. (2015). Does serotonin deficit mediate susceptibility to ADHD?. Neurochemistry International. 82. 52–68. 91 indexed citations
8.
Ghosh, Debarati, et al.. (2012). No Evidence for Mutations that Deregulate GARS–AIRS–GART Protein Levels in Children with Down Syndrome. Indian Journal of Clinical Biochemistry. 27(1). 46–51.
9.
Ghosh, Debarati, et al.. (2012). SNaPshot Assay in Quantitative Detection of Allelic Nondisjunction in Down Syndrome. Genetic Testing and Molecular Biomarkers. 16(10). 1226–1235. 3 indexed citations
10.
Ghosh, Debarati, Swagata Sinha, Anindita Chatterjee, & Krishnadas Nandagopal. (2009). A study of GluK1 kainate receptor polymorphisms in Down syndrome reveals allelic non-disjunction at 1173(C/T).. SHILAP Revista de lepidopterología. 27(2). 45–54. 2 indexed citations
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Ghosh, Debarati, Swagata Sinha, Anindita Chatterjee, & Krishnadas Nandagopal. (2009). A Study of GluK1 Kainate Receptor Polymorphisms in Down Syndrome Reveals Allelic Non-Disjunction at 1173(C/T). Disease Markers. 27(2). 45–54. 2 indexed citations
14.
Nandagopal, Krishnadas, et al.. (2007). Potential Interaction Between the GARS-AIRS-GART Gene and CP2/LBP-1c/LSF Transcription Factor in Down Syndrome-related Alzheimer Disease. Cellular and Molecular Neurobiology. 27(8). 1117–1126. 11 indexed citations
15.
Sinha, Swagata, et al.. (2006). A family‐based study of Indian subjects from Kolkata reveals allelic association of the serotonin transporter intron‐2 (STin2) polymorphism and attention‐deficit‐hyperactivity disorder (ADHD). American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 141B(4). 361–366. 38 indexed citations
16.
Nandagopal, Krishnadas, et al.. (2005). Molecular aspects of Down syndrome.. PubMed. 42(4). 339–44. 10 indexed citations
17.
Nandagopal, Krishnadas, Diana M. Popp, & Salil K. Niyogi. (2001). Utilization of a receptor reserve for effective amplification of mitogenic signaling by an epidermal growth factor mutant deficient in receptor activation***. Journal of Cellular Biochemistry. 83(2). 326–341. 6 indexed citations
18.
Nandagopal, Krishnadas, et al.. (1999). Receptor recognition by histidine 16 of human epidermal growth factor via hydrogen-bond donor/acceptor interactions. Journal of Cellular Biochemistry. 72(1). 16–24. 3 indexed citations
19.
Neelam, Beena, Audrey Richter, Stephen G. Chamberlin, et al.. (1998). Structure−Function Studies of Ligand-Induced Epidermal Growth Factor Receptor Dimerization. Biochemistry. 37(14). 4884–4891. 26 indexed citations
20.
Nandagopal, Krishnadas, et al.. (1996). The functional importance of Leu15 of human epidermal growth factor in receptor binding and activation. Protein Engineering Design and Selection. 9(9). 781–788. 9 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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