Baidyanath Chakravarty

3.4k total citations
85 papers, 2.6k citations indexed

About

Baidyanath Chakravarty is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Immunology. According to data from OpenAlex, Baidyanath Chakravarty has authored 85 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Reproductive Medicine, 25 papers in Public Health, Environmental and Occupational Health and 24 papers in Immunology. Recurrent topics in Baidyanath Chakravarty's work include Endometriosis Research and Treatment (32 papers), Ovarian function and disorders (25 papers) and Reproductive System and Pregnancy (24 papers). Baidyanath Chakravarty is often cited by papers focused on Endometriosis Research and Treatment (32 papers), Ovarian function and disorders (25 papers) and Reproductive System and Pregnancy (24 papers). Baidyanath Chakravarty collaborates with scholars based in India, Canada and United Arab Emirates. Baidyanath Chakravarty's co-authors include Koel Chaudhury, Ratna Chattopadhyay, Nalini Gupta, Koel Chaudhury, Abhay K. Singh, Lalji Singh, Mainak Dutta, Kumarasamy Thangaraj, Sanghamitra Ghosh and Saikat Kumar Jana and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Baidyanath Chakravarty

83 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baidyanath Chakravarty India 31 1.6k 894 729 644 591 85 2.6k
Nabil Aziz United Kingdom 24 2.0k 1.2× 1.2k 1.3× 305 0.4× 398 0.6× 235 0.4× 54 2.6k
Leszek Pawełczyk Poland 26 1.8k 1.1× 1.2k 1.4× 219 0.3× 129 0.2× 629 1.1× 130 2.7k
André Lemay Canada 31 1.5k 0.9× 371 0.4× 458 0.6× 802 1.2× 349 0.6× 80 2.6k
Salvatore Longobardi Italy 28 968 0.6× 920 1.0× 309 0.4× 137 0.2× 600 1.0× 73 2.6k
M.H.F. Sullivan United Kingdom 28 332 0.2× 453 0.5× 586 0.8× 602 0.9× 314 0.5× 73 2.0k
Hisataka Iwata Japan 30 995 0.6× 1.9k 2.1× 373 0.5× 183 0.3× 1.0k 1.7× 149 3.0k
Kyu Sup Lee South Korea 21 540 0.3× 366 0.4× 304 0.4× 344 0.5× 267 0.5× 77 1.3k
Miklós Molnár Hungary 22 315 0.2× 649 0.7× 362 0.5× 560 0.9× 350 0.6× 52 1.9k
Manubai Nagamani United States 28 864 0.5× 573 0.6× 162 0.2× 264 0.4× 481 0.8× 102 2.7k
Kuan‐Hao Tsui Taiwan 27 601 0.4× 461 0.5× 195 0.3× 332 0.5× 603 1.0× 103 1.9k

Countries citing papers authored by Baidyanath Chakravarty

Since Specialization
Citations

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

Fields of papers citing papers by Baidyanath Chakravarty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baidyanath Chakravarty

This figure shows the co-authorship network connecting the top 25 collaborators of Baidyanath Chakravarty. A scholar is included among the top collaborators of Baidyanath Chakravarty 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 Baidyanath Chakravarty. Baidyanath Chakravarty 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.
Rani, Deepa Selvi, Singh Rajender, Gyaneshwer Chaubey, et al.. (2019). High frequencies of Non Allelic Homologous Recombination (NAHR) events at the AZF loci and male infertility risk in Indian men. Scientific Reports. 9(1). 6276–6276. 13 indexed citations
2.
Sharma, Sunita, et al.. (2018). Does presence of adenomyosis affect reproductive outcome in IVF cycles? A retrospective analysis of 973 patients. Reproductive BioMedicine Online. 38(1). 13–21. 63 indexed citations
3.
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
4.
Chakravarty, Baidyanath, et al.. (2015). Newer surgical approach to prevent re-stenosis following canalisation of cervico-vaginal atresia. Journal of Obstetrics and Gynaecology. 35(8). 863–864. 1 indexed citations
5.
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
6.
Subramani, Elavarasan, et al.. (2013). Endometrial receptivity in women with latent genital tuberculosis: role of intracellular LIF/STAT3 signaling. Fertility and Sterility. 100(3). S297–S297. 1 indexed citations
7.
Govatati, Suresh, et al.. (2013). Mutations in the PTEN tumor gene and risk of endometriosis: a case–control study. Human Reproduction. 29(2). 324–336. 48 indexed citations
8.
Singh, Abhay K., Ratna Chattopadhyay, Baidyanath Chakravarty, & Koel Chaudhury. (2013). Markers of oxidative stress in follicular fluid of women with endometriosis and tubal infertility undergoing IVF. Reproductive Toxicology. 42. 116–124. 151 indexed citations
9.
Chakraborty, Pratip, Sanghamitra Ghosh, S.K. Goswami, et al.. (2013). Altered Trace Mineral Milieu Might Play An Aetiological Role in the Pathogenesis of Polycystic Ovary Syndrome. Biological Trace Element Research. 152(1). 9–15. 81 indexed citations
10.
Dutta, Mainak, et al.. (2012). A metabonomics approach as a means for identification of potential biomarkers for early diagnosis of endometriosis. Molecular BioSystems. 8(12). 3281–3287. 98 indexed citations
11.
Govatati, Suresh, et al.. (2012). p53 and Risk of Endometriosis in Indian Women. Genetic Testing and Molecular Biomarkers. 16(8). 865–873. 28 indexed citations
12.
Khattri, Arun, Rajeev Pandey, Nalini Gupta, et al.. (2012). Novel mutations in calcium/calmodulin‐dependent protein kinase IV (CAMK4) gene in infertile men. International Journal of Andrology. 35(6). 810–818. 14 indexed citations
13.
14.
Subramani, Elavarasan, et al.. (2012). Therapeutic targeting of the TNF superfamily: A promising treatment for advanced endometrial adenocarcinoma. Gynecologic Oncology. 127(2). 426–432. 3 indexed citations
15.
16.
Ganesh, Ashalatha, Ratna Chattopadhyay, K. N. Babu, Baidyanath Chakravarty, & Koel Chaudhury. (2009). Analysis of spindle characteristics and embryo quality in mice stimulated with letrozole using Polscope imaging. Fertility and Sterility. 93(5). 1477–1481. 4 indexed citations
17.
Ghosh, Sanghamitra, et al.. (2006). Role of Latent Genital Tuberculosis in Repeated IVF Failure in the Indian Clinical Setting. Gynecologic and Obstetric Investigation. 61(4). 223–227. 55 indexed citations
18.
Thangaraj, Kumarasamy, Manjunath B. Joshi, Alla G. Reddy, et al.. (2002). CAG Repeat Expansion in the Androgen Receptor Gene Is Not Associated With Male Infertility in Indian Populations. Journal of Andrology. 23(6). 815–818. 154 indexed citations
19.
Kabir, Syed N., et al.. (1994). Reply. Hormone Research. 41(1). 44–44. 1 indexed citations
20.
Kabir, Syed N., et al.. (1993). Subclinical Hypothyroidism: A Determinant of Polycystic Ovary Syndrome. Hormone Research. 39(1-2). 61–66. 43 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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