Koel Chaudhury

3.7k total citations
98 papers, 2.8k citations indexed

About

Koel Chaudhury is a scholar working on Reproductive Medicine, Molecular Biology and Immunology. According to data from OpenAlex, Koel Chaudhury has authored 98 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Reproductive Medicine, 28 papers in Molecular Biology and 24 papers in Immunology. Recurrent topics in Koel Chaudhury's work include Reproductive System and Pregnancy (22 papers), Endometriosis Research and Treatment (18 papers) and Metabolomics and Mass Spectrometry Studies (15 papers). Koel Chaudhury is often cited by papers focused on Reproductive System and Pregnancy (22 papers), Endometriosis Research and Treatment (18 papers) and Metabolomics and Mass Spectrometry Studies (15 papers). Koel Chaudhury collaborates with scholars based in India, United States and United Arab Emirates. Koel Chaudhury's co-authors include Baidyanath Chakravarty, Mainak Dutta, Ratna Chattopadhyay, Abhay K. Singh, Saikat Kumar Jana, Elavarasan Subramani, Sourav RoyChoudhury, Ashalatha Ganesh, Mamata Joshi and Priyanka Banerjee and has published in prestigious journals such as PLoS ONE, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

Koel Chaudhury

93 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koel Chaudhury India 32 872 623 516 503 397 98 2.8k
Yuehui Zhang China 26 681 0.8× 473 0.8× 376 0.7× 406 0.8× 195 0.5× 95 1.8k
Ling Zhang China 30 351 0.4× 1.7k 2.8× 424 0.8× 223 0.4× 333 0.8× 159 3.1k
Chia‐Jung Li Taiwan 32 310 0.4× 1.6k 2.6× 460 0.9× 305 0.6× 87 0.2× 130 4.0k
Grażyna Nowicka Poland 24 218 0.3× 571 0.9× 130 0.3× 169 0.3× 232 0.6× 122 2.2k
Yubin Ding China 30 512 0.6× 836 1.3× 722 1.4× 354 0.7× 673 1.7× 146 2.7k
Jian‐Yuan Zhao China 37 149 0.2× 1.8k 2.9× 471 0.9× 135 0.3× 238 0.6× 148 4.0k
Xiaojiang Xu United States 31 138 0.2× 1.2k 1.9× 405 0.8× 103 0.2× 303 0.8× 76 2.9k
Marina Di Domenico Italy 38 242 0.3× 2.5k 4.0× 347 0.7× 158 0.3× 80 0.2× 138 5.4k
Xin Chen China 32 185 0.2× 1.4k 2.2× 541 1.0× 222 0.4× 93 0.2× 180 3.7k
Yujing Liu China 30 266 0.3× 1.5k 2.5× 345 0.7× 187 0.4× 40 0.1× 166 3.3k

Countries citing papers authored by Koel Chaudhury

Since Specialization
Citations

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

Fields of papers citing papers by Koel Chaudhury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koel Chaudhury

This figure shows the co-authorship network connecting the top 25 collaborators of Koel Chaudhury. A scholar is included among the top collaborators of Koel Chaudhury 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 Koel Chaudhury. Koel Chaudhury 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.
Bhattacharya, Anindita, et al.. (2025). Association between blood cholesterol profile and risk of lung cancer: A meta-analysis of prospective cohort studies. Cancer Epidemiology. 99. 102955–102955.
2.
Dasgupta, Sanjukta, Sankha Subhra Das, Priyanka Choudhury, et al.. (2023). Transcriptome analysis for the screening of hub genes and potential drugs in hypersensitivity pneumonitis. Human Gene. 37. 201208–201208. 2 indexed citations
3.
Dasgupta, Sanjukta, et al.. (2023). Identification of Common Dysregulated Genes in COVID-19 and Hypersensitivity Pneumonitis: A Systems Biology and Machine Learning Approach. OMICS A Journal of Integrative Biology. 27(5). 205–214. 11 indexed citations
4.
Sharma, Sunita, et al.. (2023). Prediction of Idiopathic Recurrent Spontaneous Miscarriage using Machine Learning. 2. 1–8. 1 indexed citations
5.
Dasgupta, Sanjukta, Elavarasan Subramani, Anindita Bhattacharya, et al.. (2023). Discovery of novel metabolic signatures for early identification of women at risk of developing gestational hypertension. Metabolomics. 19(5). 50–50. 7 indexed citations
6.
7.
Dasgupta, Sanjukta, Nilanjana Ghosh, Priyanka Choudhury, et al.. (2021). NMR metabolomic and microarray-based transcriptomic data integration identifies unique molecular signatures of hypersensitivity pneumonitis. Molecular Omics. 18(2). 101–111. 15 indexed citations
8.
Shandilya, Ruchita, Neha Bunkar, Roshani Kumari, et al.. (2020). Immuno-cytometric detection of circulating cell free methylated DNA, post-translationally modified histones and micro RNAs using semi-conducting nanocrystals. Talanta. 222. 121516–121516. 16 indexed citations
9.
Banerjee, Priyanka, et al.. (2020). Cytokines, Angiogenesis, and Extracellular Matrix Degradation are Augmented by Oxidative Stress in Endometriosis. Annals of Laboratory Medicine. 40(5). 390–397. 62 indexed citations
10.
Chaudhury, Koel, et al.. (2020). Polyaniline Functionalized Impedimetric Paper Sensor for Urine pH Measurement. IEEE Sensors Journal. 21(13). 14474–14482. 9 indexed citations
11.
Chaudhury, Koel, et al.. (2019). Disposable Hand Drawn Electrode Paper based Urea Sensor by Impedance Spectroscopy. 1–3. 4 indexed citations
12.
Subramani, Elavarasan, Arun Prabhu Rameshbabu, Manivannan Jothiramajayam, et al.. (2017). Mycobacterial heat shock protein 65 mediated metabolic shift in decidualization of human endometrial stromal cells. Scientific Reports. 7(1). 3942–3942. 3 indexed citations
13.
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
14.
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
15.
Rameshbabu, Arun Prabhu, Paulomi Ghosh, Elavarasan Subramani, et al.. (2015). Investigating the potential of human placenta-derived extracellular matrix sponges coupled with amniotic membrane-derived stem cells for osteochondral tissue engineering. Journal of Materials Chemistry B. 4(4). 613–625. 46 indexed citations
16.
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
17.
Subramani, Elavarasan, et al.. (2014). Rotational Dynamics of Optically Trapped Human Spermatozoa. The Scientific World JOURNAL. 2014. 1–7. 6 indexed citations
18.
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
19.
20.
Ganesh, Ashalatha, et al.. (2008). Luteal phase estradiol level: a potential predictive marker for successful pregnancy in in vitro fertilization/intracytoplasmic sperm injection. Fertility and Sterility. 91(4). 1018–1022. 20 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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