Ambarnil Ghosh

792 total citations
18 papers, 566 citations indexed

About

Ambarnil Ghosh is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Ambarnil Ghosh has authored 18 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Epidemiology and 3 papers in Oncology. Recurrent topics in Ambarnil Ghosh's work include RNA and protein synthesis mechanisms (7 papers), Machine Learning in Bioinformatics (3 papers) and DNA and Nucleic Acid Chemistry (3 papers). Ambarnil Ghosh is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), Machine Learning in Bioinformatics (3 papers) and DNA and Nucleic Acid Chemistry (3 papers). Ambarnil Ghosh collaborates with scholars based in South Korea, India and Australia. Ambarnil Ghosh's co-authors include Ashesh Nandy, Papiya Nandy, Hye-Ji Kang, Sin‐Hyeog Im, Chang‐Hee Suh, Ju‐Yang Jung, Changhon Lee, Choong‐Gu Lee, Dipayan Rudra and Gi-Cheon Kim and has published in prestigious journals such as Nucleic Acids Research, Immunity and PLoS ONE.

In The Last Decade

Ambarnil Ghosh

18 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ambarnil Ghosh South Korea 13 360 134 85 68 61 18 566
Farah Nassar Lebanon 18 642 1.8× 62 0.5× 104 1.2× 205 3.0× 78 1.3× 35 1.0k
Thevambiga Iyadorai Malaysia 7 349 1.0× 56 0.4× 90 1.1× 179 2.6× 72 1.2× 15 490
Mairi Hope United Kingdom 5 150 0.4× 127 0.9× 63 0.7× 101 1.5× 72 1.2× 6 417
Melissa W. Mobley United States 11 350 1.0× 120 0.9× 79 0.9× 94 1.4× 59 1.0× 17 728
Yuqi Zhou China 18 286 0.8× 116 0.9× 34 0.4× 112 1.6× 91 1.5× 44 632
Jacques Van Huysse Belgium 11 279 0.8× 90 0.7× 93 1.1× 100 1.5× 91 1.5× 19 711
Adam Carlson United States 10 396 1.1× 335 2.5× 70 0.8× 66 1.0× 50 0.8× 11 735
Xiaojie Zhu China 12 258 0.7× 59 0.4× 69 0.8× 109 1.6× 63 1.0× 43 493
Chandresh Sharma India 15 309 0.9× 85 0.6× 159 1.9× 69 1.0× 107 1.8× 29 640
Jennifer Raisch France 8 655 1.8× 82 0.6× 121 1.4× 193 2.8× 87 1.4× 12 908

Countries citing papers authored by Ambarnil Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Ambarnil Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ambarnil Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Ambarnil Ghosh. A scholar is included among the top collaborators of Ambarnil Ghosh 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 Ambarnil Ghosh. Ambarnil Ghosh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Cancellieri, M.A., et al.. (2024). Detailed aggregate exposure analysis shows that exposure to fragrance ingredients in consumer products is low: Many orders of magnitude below thresholds of concern. Regulatory Toxicology and Pharmacology. 148. 105569–105569. 1 indexed citations
2.
Ovung, Aben, Ambarnil Ghosh, Sabyasachi Chatterjee, et al.. (2022). Heme Protein Binding of Sulfonamide Compounds: A Correlation Study by Spectroscopic, Calorimetric, and Computational Methods. ACS Omega. 7(6). 4932–4944. 16 indexed citations
3.
Ghosh, Ambarnil, et al.. (2021). THE EFFECT OF SOCIAL DISTANCING MEASURES ON COVID-19 RELATED HOSPITALIZATION IN NEW YORK: AN EVENT STUDY EXAMINING THE ROLE OF OVERCROWDED HOUSLNG. Journal of General Internal Medicine. 36. 1 indexed citations
4.
Kang, Chan, Sung‐Jin Lee, Nazia Parveen, et al.. (2021). AC-motif: a DNA motif containing adenine and cytosine repeat plays a role in gene regulation. Nucleic Acids Research. 49(17). 10150–10165. 13 indexed citations
5.
Ravichandran, Subramaniyam, et al.. (2021). The effect of hairpin loop on the structure and gene expression activity of the long-loop G-quadruplex. Nucleic Acids Research. 49(18). 10689–10706. 18 indexed citations
6.
Verma, Ravi, Changhon Lee, Jaeu Yi, et al.. (2018). Cell surface polysaccharides of Bifidobacterium bifidum induce the generation of Foxp3 + regulatory T cells. Science Immunology. 3(28). 186 indexed citations
7.
Kim, Chan Johng, Choong‐Gu Lee, Ju‐Yang Jung, et al.. (2018). The Transcription Factor Ets1 Suppresses T Follicular Helper Type 2 Cell Differentiation to Halt the Onset of Systemic Lupus Erythematosus. Immunity. 49(6). 1034–1048.e8. 90 indexed citations
8.
Ravichandran, Subramaniyam, Young-Eui Kim, Ambarnil Ghosh, et al.. (2018). Genome-wide analysis of regulatory G-quadruplexes affecting gene expression in human cytomegalovirus. PLoS Pathogens. 14(9). e1007334–e1007334. 39 indexed citations
9.
Jung, Hyunchul, Hae Yong Yoo, Seung Ho Lee, et al.. (2017). The mutational landscape of ocular marginal zone lymphoma identifies frequent alterations in TNFAIP3 followed by mutations in TBL1XR1 and CREBBP. Oncotarget. 8(10). 17038–17049. 43 indexed citations
10.
Nguyễn, Thành, et al.. (2016). An ubiquitin-binding molecule can work as an inhibitor of ubiquitin processing enzymes and ubiquitin receptors. Biochemical and Biophysical Research Communications. 479(1). 33–39. 10 indexed citations
11.
Ghosh, Ambarnil, Kabsun Kim, Hyun‐Ju Kim, et al.. (2016). Design of a RANK-Mimetic Peptide Inhibitor of Osteoclastogenesis with Enhanced RANKL-Binding Affinity. Molecules and Cells. 39(4). 316–321. 9 indexed citations
12.
13.
Ghosh, Ambarnil, et al.. (2014). In silico work flow for scaffold hopping in Leishmania. BMC Research Notes. 7(1). 802–802. 6 indexed citations
14.
Ghosh, Ambarnil, Shiladitya Chattopadhyay, Mamta Chawla‐Sarkar, Papiya Nandy, & Ashesh Nandy. (2012). In Silico Study of Rotavirus VP7 Surface Accessible Conserved Regions for Antiviral Drug/Vaccine Design. PLoS ONE. 7(7). e40749–e40749. 33 indexed citations
15.
Ghosh, Ambarnil & Ashesh Nandy. (2011). Graphical representation and mathematical characterization of protein sequences and applications to viral proteins. Advances in protein chemistry and structural biology. 83. 1–42. 20 indexed citations
16.
Ghosh, Ambarnil, Ashesh Nandy, & Papiya Nandy. (2010). Computational analysis and determination of a highly conserved surface exposed segment in H5N1 avian flu and H1N1 swine flu neuraminidase. BMC Structural Biology. 10(1). 6–6. 27 indexed citations
17.
Nandy, Ashesh, Ambarnil Ghosh, & Papiya Nandy. (2009). Numerical Characterization of Protein Sequences and Application to Voltage-Gated Sodium Channel α Subunit Phylogeny. In Silico Biology. 9(3). 77–87. 25 indexed citations
18.
Ghosh, Ambarnil, Ashesh Nandy, Papiya Nandy, Brian D. Gute, & Subhash C. Basak. (2009). Computational Study of Dispersion and Extent of Mutated and Duplicated Sequences of the H5N1 Influenza Neuraminidase over the Period 1997−2008. Journal of Chemical Information and Modeling. 49(11). 2627–2638. 17 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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