Vijender Chaitankar

1.8k total citations
33 papers, 1.2k citations indexed

About

Vijender Chaitankar is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Vijender Chaitankar has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Cancer Research. Recurrent topics in Vijender Chaitankar's work include Gene Regulatory Network Analysis (11 papers), Bioinformatics and Genomic Networks (10 papers) and Retinal Development and Disorders (10 papers). Vijender Chaitankar is often cited by papers focused on Gene Regulatory Network Analysis (11 papers), Bioinformatics and Genomic Networks (10 papers) and Retinal Development and Disorders (10 papers). Vijender Chaitankar collaborates with scholars based in United States, Thailand and Japan. Vijender Chaitankar's co-authors include Anand Swaroop, Matthew Brooks, Matthew J. Brooks, Rossukon Kaewkhaw, Jung-Woong Kim, Tiansen Li, Catherine Jaeger, Ximena Corso‐Díaz, Preetam Ghosh and Rinki Ratnapriya and has published in prestigious journals such as Nature Communications, Scientific Reports and Developmental Cell.

In The Last Decade

Vijender Chaitankar

33 papers receiving 1.2k citations

Peers

Vijender Chaitankar
Xitiz Chamling United States
Kai Yao China
Corinne Kostic Switzerland
James S. Friedman United States
Linn Gieser United States
Anne K. Hennig United States
Rodrigo A. P. Martins Brazil
Claudio Punzo United States
Thanh Hoang United States
Tomohiro Masuda Japan
Xitiz Chamling United States
Vijender Chaitankar
Citations per year, relative to Vijender Chaitankar Vijender Chaitankar (= 1×) peers Xitiz Chamling

Countries citing papers authored by Vijender Chaitankar

Since Specialization
Citations

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

Fields of papers citing papers by Vijender Chaitankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijender Chaitankar

This figure shows the co-authorship network connecting the top 25 collaborators of Vijender Chaitankar. A scholar is included among the top collaborators of Vijender Chaitankar 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 Vijender Chaitankar. Vijender Chaitankar 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.
Triplett, Aleata A., Vijender Chaitankar, Quan P. Ly, et al.. (2024). Single-cell RNA-sequencing of human spleens reveals an IDO-1+ tolerogenic dendritic cell subset in pancreatic cancer patients that is absent in normal individuals. Cancer Letters. 607. 217321–217321. 3 indexed citations
2.
Roytrakul, Sittiruk, Duangnate Rojanaporn, Vijender Chaitankar, et al.. (2023). Ceftriaxone exerts antitumor effects in MYCN ‐driven retinoblastoma and neuroblastoma by targeting DDX3X for translation repression. Molecular Oncology. 18(4). 918–938. 5 indexed citations
3.
Chaitankar, Vijender, et al.. (2023). Sunitinib efficacy with minimal toxicity in patient-derived retinoblastoma organoids. Journal of Experimental & Clinical Cancer Research. 42(1). 39–39. 20 indexed citations
4.
Li, Hongzhen, Vijender Chaitankar, Jianqiong Zhu, et al.. (2020). Olfactomedin 4 mediation of prostate stem/progenitor-like cell proliferation and differentiation via MYC. Scientific Reports. 10(1). 21924–21924. 6 indexed citations
5.
Seifuddin, Fayaz, Komudi Singh, Jennifer Judy, et al.. (2020). lncRNAKB, a knowledgebase of tissue-specific functional annotation and trait association of long noncoding RNA. Scientific Data. 7(1). 326–326. 45 indexed citations
6.
Chaitankar, Vijender, Duangnate Rojanaporn, Bhoom Suktitipat, et al.. (2020). Silencing of the Long Noncoding RNAMYCNOS1Suppresses Activity ofMYCN-Amplified Retinoblastoma WithoutRB1Mutation. Investigative Ophthalmology & Visual Science. 61(14). 8–8. 15 indexed citations
7.
Brooks, Matthew J., Holly Y. Chen, Ryan A. Kelley, et al.. (2019). Improved Retinal Organoid Differentiation by Modulating Signaling Pathways Revealed by Comparative Transcriptome Analyses with Development In Vivo. Stem Cell Reports. 13(5). 891–905. 65 indexed citations
8.
Li, Yan, Amanda Ray, Todd Duncan, et al.. (2019). Aberrant RNA splicing is the major pathogenic effect in a knock‐in mouse model of the dominantly inherited c.1430A>G humanRPE65mutation. Human Mutation. 40(4). 426–443. 19 indexed citations
9.
Wang, Zongheng, Yi Liu, Vijender Chaitankar, Mehdi Pirooznia, & Hong Xu. (2019). Electron transport chain biogenesis activated by a JNK-insulin-Myc relay primes mitochondrial inheritance in Drosophila. eLife. 8. 30 indexed citations
10.
Gust, Kurt A., Vijender Chaitankar, Preetam Ghosh, et al.. (2018). Multiple environmental stressors induce complex transcriptomic responses indicative of phenotypic outcomes in Western fence lizard. BMC Genomics. 19(1). 877–877. 7 indexed citations
11.
Corso‐Díaz, Ximena, Catherine Jaeger, Vijender Chaitankar, & Anand Swaroop. (2018). Epigenetic control of gene regulation during development and disease: A view from the retina. Progress in Retinal and Eye Research. 65. 1–27. 93 indexed citations
12.
Rojanaporn, Duangnate, et al.. (2018). A three-dimensional organoid model recapitulates tumorigenic aspects and drug responses of advanced human retinoblastoma. Scientific Reports. 8(1). 15664–15664. 51 indexed citations
13.
Hoshino, Akina, Rinki Ratnapriya, Matthew J. Brooks, et al.. (2017). Molecular Anatomy of the Developing Human Retina. Developmental Cell. 43(6). 763–779.e4. 169 indexed citations
14.
Yu, Wenhan, Suddhasil Mookherjee, Vijender Chaitankar, et al.. (2017). Nrl knockdown by AAV-delivered CRISPR/Cas9 prevents retinal degeneration in mice. Nature Communications. 8(1). 14716–14716. 226 indexed citations
15.
Kim, Jung-Woong, Hyun‐Jin Yang, Matthew J. Brooks, et al.. (2016). NRL-Regulated Transcriptome Dynamics of Developing Rod Photoreceptors. Cell Reports. 17(9). 2460–2473. 91 indexed citations
16.
Chaitankar, Vijender, Gökhan Karakülah, Rinki Ratnapriya, et al.. (2016). Next generation sequencing technology and genomewide data analysis: Perspectives for retinal research. Progress in Retinal and Eye Research. 55. 1–31. 55 indexed citations
17.
Santos, Anderson Rodrigues dos, Meritxell Zurita-Turk, Vijender Chaitankar, et al.. (2013). PANNOTATOR: an automated tool for annotation of pan-genomes. Genetics and Molecular Research. 12(3). 2982–2989. 16 indexed citations
18.
Chaitankar, Vijender, Chaoyang Zhang, Preetam Ghosh, et al.. (2011). Predictive Minimum Description Length Principle Approach to Inferring Gene Regulatory Networks. Advances in experimental medicine and biology. 696. 37–43. 2 indexed citations
19.
Chaitankar, Vijender, Preetam Ghosh, Edward J. Perkins, Ping Gong, & Chaoyang Zhang. (2010). Time lagged information theoretic approaches to the reverse engineering of gene regulatory networks. BMC Bioinformatics. 11(S6). S19–S19. 27 indexed citations
20.
Chaitankar, Vijender, Preetam Ghosh, Edward J. Perkins, et al.. (2010). A novel gene network inference algorithm using predictive minimum description length approach. BMC Systems Biology. 4(S1). S7–S7. 47 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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