Vanita Vanita

1.0k total citations
44 papers, 817 citations indexed

About

Vanita Vanita is a scholar working on Molecular Biology, Genetics and Ophthalmology. According to data from OpenAlex, Vanita Vanita has authored 44 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 15 papers in Genetics and 11 papers in Ophthalmology. Recurrent topics in Vanita Vanita's work include Connexins and lens biology (15 papers), Molecular Sensors and Ion Detection (9 papers) and Yersinia bacterium, plague, ectoparasites research (8 papers). Vanita Vanita is often cited by papers focused on Connexins and lens biology (15 papers), Molecular Sensors and Ion Detection (9 papers) and Yersinia bacterium, plague, ectoparasites research (8 papers). Vanita Vanita collaborates with scholars based in India, Germany and United States. Vanita Vanita's co-authors include Daljit Singh, Jai Rup Singh, Karl Sperling, Amandeep Walia, Subodh Kumar, Prabhpreet Singh, Gaurav Bhargava, Raymonda Varon, Peter N. Robinson and Lalit Singh Mittal and has published in prestigious journals such as Chemical Communications, Gene and Sensors and Actuators B Chemical.

In The Last Decade

Vanita Vanita

42 papers receiving 796 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vanita Vanita India 19 490 245 240 232 177 44 817
Jasvir Kaur India 14 359 0.7× 109 0.4× 174 0.7× 61 0.3× 64 0.4× 21 611
Dian Su United States 18 808 1.6× 326 1.3× 71 0.3× 21 0.1× 15 0.1× 20 1.1k
Md. Imam Uddin United States 15 173 0.4× 46 0.2× 82 0.3× 13 0.1× 73 0.4× 35 537
Xue You China 15 423 0.9× 95 0.4× 175 0.7× 39 0.2× 4 0.0× 33 717
Francesco Chillemi Italy 16 462 0.9× 95 0.4× 86 0.4× 29 0.1× 4 0.0× 35 693
Ina Yoon South Korea 14 460 0.9× 128 0.5× 74 0.3× 18 0.1× 2 0.0× 26 639
Stanisław Łukiewicz Poland 10 113 0.2× 30 0.1× 105 0.4× 12 0.1× 19 0.1× 16 557
Katharine L. Diehl United States 10 614 1.3× 160 0.7× 149 0.6× 36 0.2× 1 0.0× 18 966
K. Brunfeldt Denmark 15 299 0.6× 79 0.3× 54 0.2× 67 0.3× 3 0.0× 53 626
Jan L. Vinkenborg Netherlands 12 690 1.4× 190 0.8× 72 0.3× 48 0.2× 14 1.0k

Countries citing papers authored by Vanita Vanita

Since Specialization
Citations

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

Fields of papers citing papers by Vanita Vanita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanita Vanita

This figure shows the co-authorship network connecting the top 25 collaborators of Vanita Vanita. A scholar is included among the top collaborators of Vanita Vanita 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 Vanita Vanita. Vanita Vanita 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.
Vanita, Vanita, et al.. (2025). The Rise of Type 2 Diabetes in Children and Adolescents: An Emerging Pandemic. Diabetes/Metabolism Research and Reviews. 41(1). e70029–e70029. 3 indexed citations
2.
Vanita, Vanita, et al.. (2025). Genetic and environmental factors contributing to anophthalmia and microphthalmia: Current understanding and future directions. World Journal of Clinical Pediatrics. 14(2). 101982–101982. 1 indexed citations
3.
Singh, Jai Rup, et al.. (2024). Novel and known variants in GJA3 and LIM2 in congenital cataract families from North India. BMC Genomics. 25(1). 31–31. 1 indexed citations
4.
Rani, Jyoti, et al.. (2023). Genetics of diabetes. World Journal of Diabetes. 14(6). 656–679. 16 indexed citations
5.
6.
Agarkar, Sumita, Suneeta Dubey, Suma Ganesh, et al.. (2022). Clinical and molecular aspects of congenital aniridia – A review of current concepts. Indian Journal of Ophthalmology. 70(7). 2280–2292. 12 indexed citations
7.
Vanita, Vanita, et al.. (2022). A missense mutation in TTC8/BBS8 affecting mRNA splicing in patients with non-syndromic retinitis pigmentosa. Molecular Genetics and Genomics. 297(5). 1439–1449. 2 indexed citations
8.
Vanita, Vanita, et al.. (2020). Novel mutation in MKKS/BBS6 linked with arRP and polydactyly in a family of North Indian origin. Clinical and Experimental Ophthalmology. 48(3). 343–355. 1 indexed citations
9.
10.
Kaur, Navdeep, et al.. (2018). A novel mutation in MERTK for rod-cone dystrophy in a North Indian family. Canadian Journal of Ophthalmology. 54(1). 40–50. 8 indexed citations
11.
Singh, Daljit, et al.. (2018). A novel mutation in the PRPF31 in a North Indian adRP family with incomplete penetrance. Documenta Ophthalmologica. 137(2). 103–119. 17 indexed citations
12.
Vanita, Vanita, et al.. (2016). Association analysis of PPARγ (p.Pro12Ala) polymorphism with type 2 diabetic retinopathy in patients from north India. Ophthalmic Genetics. 38(3). 217–221. 5 indexed citations
13.
Hundal, M.S., et al.. (2014). Nanomolar fluorogenic detection of Al(iii) by a series of Schiff bases in an aqueous system and their application in cell imaging. Organic & Biomolecular Chemistry. 12(25). 4445–4445. 32 indexed citations
14.
Vanita, Vanita. (2014). Association of RAGE (p.Gly82Ser) and MnSOD (p.Val16Ala) polymorphisms with diabetic retinopathy in T2DM patients from north India. Diabetes Research and Clinical Practice. 104(1). 155–162. 18 indexed citations
15.
Vanita, Vanita, Gao Guo, Daljit Singh, Claus‐Eric Ott, & Peter N. Robinson. (2014). Differential effect of cataract-associated mutations in MAF on transactivation of MAF target genes. Molecular and Cellular Biochemistry. 396(1-2). 137–145. 9 indexed citations
16.
Vanita, Vanita & Daljit Singh. (2012). A missense mutation in CRYGD linked with autosomal dominant congenital cataract of aculeiform type. Molecular and Cellular Biochemistry. 368(1-2). 167–172. 6 indexed citations
17.
Vanita, Vanita, Jai Rup Singh, Daljit Singh, Raymonda Varon, & Karl Sperling. (2008). A mutation in GJA8 (p.P88Q) is associated with "balloon-like" cataract with Y-sutural opacities in a family of Indian origin.. PubMed. 14. 1171–5. 24 indexed citations
18.
Vanita, Vanita, Jai Rup Singh, Daljit Singh, Raymonda Varon, & Karl Sperling. (2008). A novel mutation in GJA8 associated with jellyfish-like cataract in a family of Indian origin.. PubMed. 14. 323–6. 36 indexed citations
19.
Vanita, Vanita, Hans Christian Hennies, Daljit Singh, et al.. (2006). A novel mutation in GJA8 associated with autosomal dominant congenital cataract in a family of Indian origin.. PubMed. 12. 1217–22. 35 indexed citations
20.
Vanita, Vanita, Daljit Singh, Peter N. Robinson, Karl Sperling, & Jai Rup Singh. (2006). A novel mutation in the DNA‐binding domain of MAF at 16q23.1 associated with autosomal dominant “cerulean cataract” in an Indian family. American Journal of Medical Genetics Part A. 140A(6). 558–566. 67 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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