Moumita Chaki

3.6k total citations
26 papers, 873 citations indexed

About

Moumita Chaki is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Moumita Chaki has authored 26 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Genetics and 7 papers in Cell Biology. Recurrent topics in Moumita Chaki's work include Genetic and Kidney Cyst Diseases (9 papers), Renal and related cancers (9 papers) and RNA regulation and disease (7 papers). Moumita Chaki is often cited by papers focused on Genetic and Kidney Cyst Diseases (9 papers), Renal and related cancers (9 papers) and RNA regulation and disease (7 papers). Moumita Chaki collaborates with scholars based in United States, India and Germany. Moumita Chaki's co-authors include Kunal Ray, Edgar A. Otto, Friedhelm Hildebrandt, Mainak Sengupta, Susan J. Allen, Neveen A. Soliman, Jan Halbritter, Katrina A. Diaz, Jonathan D. Porath and Weibin Zhou and has published in prestigious journals such as Journal of Clinical Oncology, Kidney International and Journal of the American Society of Nephrology.

In The Last Decade

Moumita Chaki

25 papers receiving 863 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moumita Chaki United States 16 637 532 178 131 108 26 873
Jane S. Green Canada 7 353 0.6× 406 0.8× 113 0.6× 39 0.3× 49 0.5× 7 808
Akie Nakamura Japan 19 524 0.8× 532 1.0× 43 0.2× 197 1.5× 39 0.4× 77 952
Véronique Chauvet France 12 554 0.9× 554 1.0× 106 0.6× 75 0.6× 19 0.2× 20 811
Moez Gribaa Tunisia 15 347 0.5× 279 0.5× 29 0.2× 162 1.2× 14 0.1× 51 679
R. Brent Thomson United States 16 797 1.3× 342 0.6× 54 0.3× 71 0.5× 33 0.3× 23 1.1k
Minoru Nakazato Japan 18 347 0.5× 135 0.3× 27 0.2× 44 0.3× 27 0.3× 22 787
Velibor Tasic Germany 10 383 0.6× 114 0.2× 225 1.3× 79 0.6× 25 0.2× 14 620
Brian J. Siroky United States 17 490 0.8× 381 0.7× 40 0.2× 48 0.4× 21 0.2× 32 785
Marco Chiaravalli Italy 15 754 1.2× 789 1.5× 104 0.6× 88 0.7× 9 0.1× 18 1.1k
Thomas A. Natoli United States 17 643 1.0× 351 0.7× 53 0.3× 77 0.6× 6 0.1× 21 779

Countries citing papers authored by Moumita Chaki

Since Specialization
Citations

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

Fields of papers citing papers by Moumita Chaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moumita Chaki

This figure shows the co-authorship network connecting the top 25 collaborators of Moumita Chaki. A scholar is included among the top collaborators of Moumita Chaki 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 Moumita Chaki. Moumita Chaki 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.
Tsai, Chun‐Ming, Luc Cabel, Enrico Moiso, et al.. (2024). 418P Concordance of PI3K-AKT pathway alterations between tumor and ctDNA in metastatic breast cancer. Annals of Oncology. 35. S395–S396.
3.
4.
Hayes, Jennifer, et al.. (2023). Barriers to gBRCA Testing in High-Risk HER2-Negative Early Breast Cancer. Journal of Personalized Medicine. 13(8). 1228–1228. 1 indexed citations
5.
Lu, Dongmei, Binghua Li, Chongyu Ren, et al.. (2016). Loss of Glis2/NPHP7 causes kidney epithelial cell senescence and suppresses cyst growth in the Kif3a mouse model of cystic kidney disease. Kidney International. 89(6). 1307–1323. 33 indexed citations
6.
Taşkıran, Ekim Z., Emine Korkmaz, Şafak Güçer, et al.. (2014). Mutations in ANKS6 Cause a Nephronophthisis-Like Phenotype with ESRD. Journal of the American Society of Nephrology. 25(8). 1653–1661. 31 indexed citations
7.
Halbritter, Jan, Jonathan D. Porath, Katrina A. Diaz, et al.. (2013). Identification of 99 novel mutations in a worldwide cohort of 1,056 patients with a nephronophthisis-related ciliopathy. Human Genetics. 132(8). 865–884. 144 indexed citations
8.
Chaki, Moumita, Julia Hoefele, Susan J. Allen, et al.. (2011). Genotype–phenotype correlation in 440 patients with NPHP-related ciliopathies. Kidney International. 80(11). 1239–1245. 83 indexed citations
9.
Hoefele, Julia, Ahmet Nayır, Moumita Chaki, et al.. (2011). Pseudodominant inheritance of nephronophthisis caused by a homozygous NPHP1 deletion. Pediatric Nephrology. 26(6). 967–971. 18 indexed citations
10.
Otto, Edgar A., Gokul Ramaswami, Sabine Janssen, et al.. (2010). Mutation analysis of 18 nephronophthisis associated ciliopathy disease genes using a DNA pooling and next generation sequencing strategy. Journal of Medical Genetics. 48(2). 105–116. 97 indexed citations
11.
Sengupta, Mainak, et al.. (2010). Comprehensive analysis of the molecular basis of oculocutaneous albinism in Indian patients lacking a mutation in the tyrosinase gene. British Journal of Dermatology. 163(3). 487–494. 13 indexed citations
12.
Otto, Edgar A., Kálmán Tory, Massimo Attanasio, et al.. (2009). Hypomorphic mutations in meckelin (MKS3/TMEM67) cause nephronophthisis with liver fibrosis (NPHP11). Journal of Medical Genetics. 46(10). 663–670. 98 indexed citations
13.
Held, Swantje, Anna Dı́az-Font, Erica E. Davis, et al.. (2009). Identification of 11 novel mutations in eight BBS genes by high-resolution homozygosity mapping. Journal of Medical Genetics. 47(4). 262–267. 60 indexed citations
14.
Jensen, Daniel R., Donna M. Martin, Stephen S. Gebarski, et al.. (2009). A novel chromosome 19p13.12 deletion in a child with multiple congenital anomalies. American Journal of Medical Genetics Part A. 149A(3). 396–402. 28 indexed citations
15.
Sengupta, Mainak, et al.. (2008). SNPs in genes with copy number variation: A question of specificity. Journal of Genetics. 87(1). 95–97. 2 indexed citations
16.
Ray, Kunal, Moumita Chaki, & Mainak Sengupta. (2007). Tyrosinase and ocular diseases: Some novel thoughts on the molecular basis of oculocutaneous albinism type 1. Progress in Retinal and Eye Research. 26(4). 323–358. 69 indexed citations
17.
Chaki, Moumita, Mainak Sengupta, Arijit Mukhopadhyay, et al.. (2006). OCA1 in Different Ethnic Groups of India is Primarily Due to Founder Mutations in the Tyrosinase Gene. Annals of Human Genetics. 70(5). 623–630. 21 indexed citations
18.
Chaki, Moumita, Arijit Mukhopadhyay, & Kunal Ray. (2005). Determination of variants in the 3′-region of the Tyrosinase gene requires locus specific amplification. Human Mutation. 26(1). 53–58. 21 indexed citations
19.
Ray, Kunal, Moumita Chaki, & Arijit Mukhopadhyay. (2005). Human Gene Mutations. Human Genetics. 116(6). 533–545. 3 indexed citations
20.
Mahata, J., Moumita Chaki, Pritha Ghosh, et al.. (2004). Chromosomal aberrations in arsenic-exposed human populations: a review with special reference to a comprehensive study in West Bengal, India. Cytogenetic and Genome Research. 104(1-4). 359–364. 33 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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