Vaneet Lotay
- Nephrology top 10%
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- Genetic Associations and Epidemiology 2
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- Genomics and Phylogenetic Studies 5
- Biomedical Text Mining and Ontologies 3
- Molecular Biology Techniques and Applications 2
- Bioinformatics and Genomic Networks 2
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- Machine Learning in Healthcare 2
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- Liver Disease Diagnosis and Treatment 2
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- Marine Biology and Ecology Research 2
- Co-authors
- Kamran KarimiPeter D. VizeTroy J. PellsChristina James‐ZornAaron M. ZornKevin A. BurnsStanley ChuJoshua D. Fortriede
- Cited by
- NephrologyGeneticsAging
- Journals
- Nucleic Acids Research (3 papers)PLoS ONE (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Vaneet Lotay
17 papers receiving 618 citations
Peers
Comparison fields: 5 of 106
- Nephrology 56
- Genetics 174
- Aging 9
- Molecular Biology 302
- Transplantation 11
Countries citing papers authored by Vaneet Lotay
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
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
The 25 scholars most cited alongside Vaneet Lotay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 11 | |
| 2 | 2023 | 38 | |
| 3 | 2022 | 4 | |
| 4 | 2021 | 6 | |
| 5 | 2021 | 52 | |
| 6 | 2019 | 58 | |
| 7 | 2019 | 39 | |
| 8 | 2018 | 20 | |
| 9 | 2017 | 137 | |
| 10 | 2015 | 60 | |
| 11 | 2015 | 35 | |
| 12 | 2014 | 23 | |
| 13 | 2014 | 61 | |
| 14 | Development and validation of an electronic phenotyping algorithm for chronic kidney disease. | 2014 | 36 |
| 15 | Disease progression subtype discovery from longitudinal EMR data with a majority of missing values and unknown initial time points. | 2014 | 8 |
| 16 | 2013 | 13 | |
| 17 | 2012 | 21 |
About Vaneet Lotay
Vaneet Lotay is a scholar working on Health Information Management, Gastroenterology and Aquatic Science, having authored 17 papers that have together received 622 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Biomedical Text Mining and Ontologies (3 papers), Genetic Associations and Epidemiology (2 papers), Machine Learning in Healthcare (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Molecular Biology Techniques and Applications (2 papers), Bioinformatics and Genomic Networks (2 papers) and Marine Biology and Ecology Research (2 papers). The work is most often cited by research in Nephrology (56 citations), Genetics (174 citations) and Aging (9 citations). Vaneet Lotay has collaborated with scholars based in United States, Canada and Italy. Frequent 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. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.