Vaneet Lotay

10.4k total citations
17 papers, 622 citations indexed

About

Vaneet Lotay is a scholar working on Molecular Biology, Genetics and Oceanography. According to data from OpenAlex, Vaneet Lotay has authored 17 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Oceanography. Recurrent topics in Vaneet Lotay's work include Genomics and Phylogenetic Studies (5 papers), Biomedical Text Mining and Ontologies (3 papers) and Genetic Associations and Epidemiology (2 papers). Vaneet Lotay is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Biomedical Text Mining and Ontologies (3 papers) and Genetic Associations and Epidemiology (2 papers). Vaneet Lotay collaborates with scholars based in United States, Canada and Italy. Vaneet Lotay's co-authors include Kamran Karimi, Peter D. Vize, Troy J. Pells, Christina James‐Zorn, Aaron M. Zorn, Kevin A. Burns, Stanley Chu, Joshua D. Fortriede, Virgilio Ponferrada and Malcolm E Fisher and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Vaneet Lotay

17 papers receiving 618 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vaneet Lotay United States 13 302 174 67 59 56 17 622
Masanori Mukai Japan 17 537 1.8× 185 1.1× 25 0.4× 50 0.8× 78 1.4× 45 902
Shelly G. Smith United States 14 181 0.6× 236 1.4× 101 1.5× 35 0.6× 71 1.3× 16 553
Alicia Inés Torres Argentina 17 245 0.8× 86 0.5× 250 3.7× 57 1.0× 23 0.4× 53 695
Yoshiki Yasukochi Japan 14 210 0.7× 178 1.0× 29 0.4× 85 1.4× 15 0.3× 58 528
P. van Vooren Belgium 12 441 1.5× 149 0.9× 18 0.3× 20 0.3× 55 1.0× 30 606
Luana Galver United States 3 330 1.1× 217 1.2× 24 0.4× 34 0.6× 16 0.3× 4 602
Andrea Tóth Hungary 13 215 0.7× 86 0.5× 12 0.2× 65 1.1× 95 1.7× 41 614
Takeshi Miura Japan 21 191 0.6× 341 2.0× 66 1.0× 36 0.6× 80 1.4× 52 1.3k
Shingo Seki Japan 19 331 1.1× 339 1.9× 102 1.5× 60 1.0× 20 0.4× 59 930
Darcey Black United Kingdom 10 161 0.5× 87 0.5× 81 1.2× 108 1.8× 43 0.8× 12 876

Countries citing papers authored by Vaneet Lotay

Since Specialization
Citations

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

Fields of papers citing papers by Vaneet Lotay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vaneet Lotay

This figure shows the co-authorship network connecting the top 25 collaborators of Vaneet Lotay. A scholar is included among the top collaborators of Vaneet Lotay 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 Vaneet Lotay. Vaneet Lotay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Telmer, Cheryl A., Kamran Karimi, Bradley I. Arshinoff, et al.. (2024). Echinobase: a resource to support the echinoderm research community. Genetics. 227(1). 11 indexed citations
2.
Fisher, Malcolm E, Christina James‐Zorn, Virgilio Ponferrada, et al.. (2023). Xenbase: key features and resources of the Xenopus model organism knowledgebase. Genetics. 224(1). 38 indexed citations
3.
Fisher, Malcolm E, Erik Segerdell, Nicolas Matentzoglu, et al.. (2022). The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development. BMC Bioinformatics. 23(1). 99–99. 4 indexed citations
4.
Foley, Saoirse, et al.. (2021). Integration of 1:1 orthology maps and updated datasets into Echinobase. Database. 2021. 6 indexed citations
5.
Arshinoff, Bradley I., Gregory A. Cary, Kamran Karimi, et al.. (2021). Echinobase: leveraging an extant model organism database to build a knowledgebase supporting research on the genomics and biology of echinoderms. Nucleic Acids Research. 50(D1). D970–D979. 52 indexed citations
6.
Fisher, Malcolm E, Christina James‐Zorn, Troy J. Pells, et al.. (2019). Xenbase: Facilitating the Use of Xenopus to Model Human Disease. Frontiers in Physiology. 10. 154–154. 58 indexed citations
7.
Fortriede, Joshua D., Troy J. Pells, Stanley Chu, et al.. (2019). Xenbase: deep integration of GEO & SRA RNA-seq and ChIP-seq data in a model organism database. Nucleic Acids Research. 48(D1). D776–D782. 39 indexed citations
8.
James‐Zorn, Christina, Virgilio Ponferrada, Malcolm E Fisher, et al.. (2018). Navigating Xenbase: An Integrated Xenopus Genomics and Gene Expression Database. Methods in molecular biology. 1757. 251–305. 20 indexed citations
9.
Karimi, Kamran, Joshua D. Fortriede, Vaneet Lotay, et al.. (2017). Xenbase: a genomic, epigenomic and transcriptomic model organism database. Nucleic Acids Research. 46(D1). D861–D868. 137 indexed citations
10.
Tomer, Yaron, Lawrence M. Dolan, George J. Kahaly, et al.. (2015). Genome wide identification of new genes and pathways in patients with both autoimmune thyroiditis and type 1 diabetes. Journal of Autoimmunity. 60. 32–39. 60 indexed citations
11.
James‐Zorn, Christina, Kevin A. Burns, Joshua D. Fortriede, et al.. (2015). Xenbase: Core features, data acquisition, and data processing. genesis. 53(8). 486–497. 35 indexed citations
12.
Brown, Rosalind S., Angela Lombardi, Alia Hasham, et al.. (2014). Genetic Analysis in Young-Age-of-Onset Graves' Disease Reveals New Susceptibility Loci. The Journal of Clinical Endocrinology & Metabolism. 99(7). E1387–E1391. 23 indexed citations
13.
Udler, Miriam S., Girish N. Nadkarni, Gillian M. Belbin, et al.. (2014). Effect of Genetic African Ancestry on eGFR and Kidney Disease. Journal of the American Society of Nephrology. 26(7). 1682–1692. 61 indexed citations
14.
Nadkarni, Girish N., Omri Gottesman, James G. Linneman, et al.. (2014). Development and validation of an electronic phenotyping algorithm for chronic kidney disease.. PubMed. 2014. 907–16. 36 indexed citations
15.
Nadkarni, Girish N., Rajiv Nadukuru, Vaneet Lotay, et al.. (2014). Disease progression subtype discovery from longitudinal EMR data with a majority of missing values and unknown initial time points.. PubMed. 2014. 709–18. 8 indexed citations
16.
Hasham, Alia, Vaneet Lotay, Mihaela Stefan, et al.. (2013). Genetic analysis of interferon induced thyroiditis (IIT): Evidence for a key role for MHC and apoptosis related genes and pathways. Journal of Autoimmunity. 44. 61–70. 13 indexed citations
17.
Gottesman, Omri, Esther Drill, Vaneet Lotay, Erwin P. Böttinger, & Inga Peter. (2012). Can Genetic Pleiotropy Replicate Common Clinical Constellations of Cardiovascular Disease and Risk?. PLoS ONE. 7(9). e46419–e46419. 21 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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