Sourav RoyChoudhury

669 total citations
17 papers, 473 citations indexed

About

Sourav RoyChoudhury is a scholar working on Molecular Biology, Reproductive Medicine and Spectroscopy. According to data from OpenAlex, Sourav RoyChoudhury has authored 17 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Reproductive Medicine and 5 papers in Spectroscopy. Recurrent topics in Sourav RoyChoudhury's work include Metabolomics and Mass Spectrometry Studies (6 papers), Advanced Proteomics Techniques and Applications (5 papers) and Ovarian function and disorders (3 papers). Sourav RoyChoudhury is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (6 papers), Advanced Proteomics Techniques and Applications (5 papers) and Ovarian function and disorders (3 papers). Sourav RoyChoudhury collaborates with scholars based in India and Spain. Sourav RoyChoudhury's co-authors include Koel Chaudhury, Baidyanath Chakravarty, Srikanth Rapole, Manas Kumar Santra, Anupama Mane, Mainak Dutta, Khushman Taunk, Elavarasan Subramani, Priyanka Banerjee and Sanghamitra Ghosh and has published in prestigious journals such as PLoS ONE, Human Reproduction and Oncotarget.

In The Last Decade

Sourav RoyChoudhury

17 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sourav RoyChoudhury India 12 227 91 85 64 62 17 473
Liying Jin China 13 223 1.0× 137 1.5× 41 0.5× 108 1.7× 36 0.6× 26 490
Ruiying Diao China 16 344 1.5× 155 1.7× 224 2.6× 164 2.6× 128 2.1× 28 719
Tian Shi China 13 305 1.3× 159 1.7× 76 0.9× 172 2.7× 49 0.8× 23 654
Yu Zeng China 13 159 0.7× 26 0.3× 37 0.4× 94 1.5× 21 0.3× 30 376
Claudia Carlino Italy 8 116 0.5× 436 4.8× 161 1.9× 25 0.4× 83 1.3× 9 735
Leying Zhang China 17 118 0.5× 508 5.6× 30 0.4× 53 0.8× 110 1.8× 68 781
Luciana Maria Silva Brazil 13 142 0.6× 56 0.6× 30 0.4× 76 1.2× 35 0.6× 42 457
James Cook United States 6 313 1.4× 27 0.3× 13 0.2× 46 0.7× 33 0.5× 7 909
Junjun Gao China 14 467 2.1× 91 1.0× 12 0.1× 57 0.9× 35 0.6× 23 743

Countries citing papers authored by Sourav RoyChoudhury

Since Specialization
Citations

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

Fields of papers citing papers by Sourav RoyChoudhury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sourav RoyChoudhury

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

All Works

17 of 17 papers shown
1.
Sharma, Sunita, et al.. (2023). Low-dose letrozole – an effective option for women with symptomatic adenomyosis awaiting IVF: a pilot randomized controlled trial. Reproductive BioMedicine Online. 47(1). 84–93. 4 indexed citations
2.
Sharma, Sunita, et al.. (2020). Pregnancy and Live Birth Rates Are Comparable in Young Infertile Women Presenting with Severe Endometriosis and Tubal Infertility. Reproductive Sciences. 27(6). 1340–1349. 14 indexed citations
3.
Gajbhiye, Akshada, Khushman Taunk, Mashanipalya G. Jagadeeshaprasad, et al.. (2017). Multipronged quantitative proteomics reveals serum proteome alterations in breast cancer intrinsic subtypes. Journal of Proteomics. 163. 1–13. 18 indexed citations
4.
RoyChoudhury, Sourav, Tushar H. More, Ratna Chattopadhyay, et al.. (2017). Polycystic ovary syndrome in Indian women: a mass spectrometry based serum metabolomics approach. Metabolomics. 13(10). 15 indexed citations
5.
More, Tushar H., Sourav RoyChoudhury, Khushman Taunk, et al.. (2017). Metabolomic alterations in invasive ductal carcinoma of breast: A comprehensive metabolomic study using tissue and serum samples. Oncotarget. 9(2). 2678–2696. 44 indexed citations
6.
Gajbhiye, Akshada, Khushman Taunk, Vannuruswamy Garikapati, et al.. (2016). Urinary proteome alterations in HER2 enriched breast cancer revealed by multipronged quantitative proteomics. PROTEOMICS. 16(17). 2403–2418. 41 indexed citations
7.
RoyChoudhury, Sourav, Tila Khan, Himadri Sekhar Sarkar, et al.. (2016). Serum metabolomics of Indian women with polycystic ovary syndrome using 1H NMR coupled with a pattern recognition approach. Molecular BioSystems. 12(11). 3407–3416. 36 indexed citations
8.
More, Tushar H., Muralidhararao Bagadi, Sourav RoyChoudhury, et al.. (2016). Comprehensive quantitative lipidomic approach to investigate serum phospholipid alterations in breast cancer. Metabolomics. 13(1). 11 indexed citations
9.
RoyChoudhury, Sourav, Apoorva Singh, Nalini Gupta, et al.. (2016). Repeated implantation failure versus repeated implantation success: discrimination at a metabolomic level. Human Reproduction. 31(6). 1265–1274. 21 indexed citations
10.
Gajbhiye, Akshada, Khushman Taunk, Sourav RoyChoudhury, et al.. (2015). Quantitative tissue proteomic investigation of invasive ductal carcinoma of breast with luminal B HER2 positive and HER2 enriched subtypes towards potential diagnostic and therapeutic biomarkers. Journal of Proteomics. 132. 112–130. 29 indexed citations
11.
More, Tushar H., Sourav RoyChoudhury, Kishore Gollapalli, et al.. (2015). Metabolomics and its integration with systems biology: PSI 2014 conference panel discussion report. Journal of Proteomics. 127(Pt A). 73–79. 18 indexed citations
12.
Chaudhury, Koel, et al.. (2014). Regenerative nanomedicine: current perspectives and future directions. International Journal of Nanomedicine. 9. 4153–4153. 57 indexed citations
13.
Banerjee, Priyanka, Sanghamitra Ghosh, Mainak Dutta, et al.. (2013). Identification of Key Contributory Factors Responsible for Vascular Dysfunction in Idiopathic Recurrent Spontaneous Miscarriage. PLoS ONE. 8(11). e80940–e80940. 95 indexed citations
14.
RoyChoudhury, Sourav, et al.. (2013). Complex Codon Usage Pattern and Compositional Features of Retroviruses. Computational and Mathematical Methods in Medicine. 2013. 1–10. 6 indexed citations
15.
RoyChoudhury, Sourav, et al.. (2011). Genus specific evolution of codon usage and nucleotide compositional traits of poxviruses. Virus Genes. 42(2). 189–199. 11 indexed citations
16.
RoyChoudhury, Sourav, Rashmi Mukherjee, & Koel Chaudhury. (2010). Molecular characterization of selenoproteins based on decreased glutathione peroxidase activity in preeclampsia. 179. 437–442. 1 indexed citations
17.
RoyChoudhury, Sourav, et al.. (2009). A detailed comparative analysis on the overall codon usage pattern in herpesviruses. Virus Research. 148(1-2). 31–43. 52 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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