Manjula Bhanoori

1.4k total citations
48 papers, 1.2k citations indexed

About

Manjula Bhanoori is a scholar working on Molecular Biology, Reproductive Medicine and Immunology. According to data from OpenAlex, Manjula Bhanoori has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 21 papers in Reproductive Medicine and 12 papers in Immunology. Recurrent topics in Manjula Bhanoori's work include Endometriosis Research and Treatment (16 papers), Reproductive System and Pregnancy (9 papers) and Ovarian function and disorders (6 papers). Manjula Bhanoori is often cited by papers focused on Endometriosis Research and Treatment (16 papers), Reproductive System and Pregnancy (9 papers) and Ovarian function and disorders (6 papers). Manjula Bhanoori collaborates with scholars based in India, United States and United Kingdom. Manjula Bhanoori's co-authors include S. Shivaji, Mamata Deenadayal, Suresh Govatati, Gadiparthi N. Rao, Chandrahasa R. Yellaturu, Indira Neeli, G. Venkateswerlu, Perugu Shyam, Stephen Kennedy and Baidyanath Chakravarty and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Oncogene.

In The Last Decade

Manjula Bhanoori

47 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manjula Bhanoori India 20 442 397 221 180 127 48 1.2k
Junko Hirata Japan 18 481 1.1× 172 0.4× 119 0.5× 115 0.6× 46 0.4× 55 1.2k
Halit Demir Türkiye 17 220 0.5× 103 0.3× 36 0.2× 49 0.3× 80 0.6× 70 821
Andrzej Klejewski Poland 15 301 0.7× 73 0.2× 100 0.5× 64 0.4× 48 0.4× 46 666
Michał W. Łuczak United States 19 488 1.1× 62 0.2× 124 0.6× 54 0.3× 24 0.2× 36 1.0k
Wei Fu China 14 408 0.9× 52 0.1× 104 0.5× 23 0.1× 74 0.6× 38 847
Jiarong Cheng China 19 601 1.4× 123 0.3× 45 0.2× 127 0.7× 109 0.9× 39 1.4k
Yen‐Ni Teng Taiwan 22 919 2.1× 337 0.8× 147 0.7× 9 0.1× 151 1.2× 47 1.5k
Yuanqiao He China 19 329 0.7× 128 0.3× 111 0.5× 11 0.1× 88 0.7× 61 742
Mauro Finicelli Italy 14 272 0.6× 57 0.1× 88 0.4× 50 0.3× 113 0.9× 24 761
Masami Nemoto Japan 16 1.0k 2.4× 35 0.1× 51 0.2× 34 0.2× 55 0.4× 54 1.8k

Countries citing papers authored by Manjula Bhanoori

Since Specialization
Citations

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

Fields of papers citing papers by Manjula Bhanoori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manjula Bhanoori

This figure shows the co-authorship network connecting the top 25 collaborators of Manjula Bhanoori. A scholar is included among the top collaborators of Manjula Bhanoori 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 Manjula Bhanoori. Manjula Bhanoori 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.
2.
Deenadayal, Mamata, et al.. (2022). Genetic Variants of VDR and PGC-1α Are Not Associated with the Risk of Endometriosis in Indian Women. DNA and Cell Biology. 41(11). 987–995. 2 indexed citations
3.
Deenadayal, Mamata, et al.. (2021). DNMT1 and DNMT3B gene variants and their association with endometriosis in South Indian women. Molecular Biology Reports. 49(1). 321–329. 6 indexed citations
4.
Govatati, Suresh, et al.. (2020). Association of genetic variations in phosphatase and tensin homolog (PTEN) gene with polycystic ovary syndrome in South Indian women: a case control study. Archives of Gynecology and Obstetrics. 302(4). 1033–1040. 1 indexed citations
5.
Govatati, Suresh, et al.. (2017). Therapeutic effect of green tea extract on alcohol induced hepatic mitochondrial DNA damage in albino wistar rats. Journal of Advanced Research. 8(3). 289–295. 11 indexed citations
6.
7.
Govatati, Suresh, Saradamma Bulle, Pallaval Veera Bramhachari, et al.. (2016). Manganese-superoxide dismutase (Mn-SOD) overexpression is a common event in colorectal cancers with mitochondrial microsatellite instability. Tumor Biology. 37(8). 10357–10364. 17 indexed citations
8.
Govatati, Suresh, et al.. (2015). Analysis of Connexin37 gene C1019T polymorphism and PCOS susceptibility in South Indian population: case–control study. European Journal of Obstetrics & Gynecology and Reproductive Biology. 196. 17–20. 14 indexed citations
9.
Govatati, Suresh, et al.. (2013). Association of E-Cadherin Single-Nucleotide Polymorphisms with the Increased Risk of Breast Cancer: A Study in South Indian Women. Genetic Testing and Molecular Biomarkers. 17(6). 494–500. 17 indexed citations
10.
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
11.
Govatati, Suresh, et al.. (2013). TP53 alterations and colorectal cancer predisposition in south Indian population: A case-control study. Tumor Biology. 35(3). 2303–2311. 18 indexed citations
12.
Govatati, Suresh, et al.. (2013). An interleukin-6 gene promoter polymorphism is associated with polycystic ovary syndrome in South Indian women. Journal of Assisted Reproduction and Genetics. 30(12). 1541–1546. 37 indexed citations
13.
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
14.
Govatati, Suresh, et al.. (2011). Association of E-cadherin single nucleotide polymorphisms with the increased risk of endometriosis in Indian women. Molecular Human Reproduction. 18(5). 280–287. 37 indexed citations
15.
Adhikarla, Haritha, et al.. (2009). Characterization of Ctr family genes and the elucidation of their role in the life cycle of Neurospora crassa. Fungal Genetics and Biology. 47(3). 237–245. 18 indexed citations
16.
Bhanoori, Manjula, et al.. (2008). The endothelial nitric oxide synthase Glu298Asp polymorphism is not a risk factor for endometriosis in south Indian women. European Journal of Obstetrics & Gynecology and Reproductive Biology. 139(1). 53–58. 14 indexed citations
17.
Bhanoori, Manjula, Mamata Deenadayal, Stephen Kennedy, & S. Shivaji. (2007). The G2964A 3′-untranslated region polymorphism of the signal transducer and activator of transcription 6 gene is associated with endometriosis in South Indian women. Human Reproduction. 22(4). 1026–1030. 15 indexed citations
18.
Bhanoori, Manjula, Pavankumar N.G. Reddy, Katragadda Lakshmi Narasimha Rao, et al.. (2005). The vascular endothelial growth factor (VEGF) +405G>C 5′-untranslated region polymorphism and increased risk of endometriosis in South Indian women: a case control study. Human Reproduction. 20(7). 1844–1849. 82 indexed citations
19.
20.
Ghosh, Salil, et al.. (2002). ATF-1 Mediates Protease-activated Receptor-1 but Not Receptor Tyrosine Kinase-induced DNA Synthesis in Vascular Smooth Muscle Cells. Journal of Biological Chemistry. 277(24). 21325–21331. 18 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Junko Hirata Breakdown of academic impact, for papers by Halit Demir Breakdown of academic impact, for papers by Andrzej Klejewski Breakdown of academic impact, for papers by Michał W. Łuczak Breakdown of academic impact, for papers by Wei Fu Breakdown of academic impact, for papers by Jiarong Cheng Breakdown of academic impact, for papers by Yen‐Ni Teng Breakdown of academic impact, for papers by Yuanqiao He Breakdown of academic impact, for papers by Mauro Finicelli Breakdown of academic impact, for papers by Masami Nemoto
Rankless by CCL
2026