Naisha Shah

5.7k total citations
19 papers, 877 citations indexed

About

Naisha Shah is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Naisha Shah has authored 19 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Naisha Shah's work include Genomics and Rare Diseases (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Naisha Shah is often cited by papers focused on Genomics and Rare Diseases (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). Naisha Shah collaborates with scholars based in United States, Ireland and United Kingdom. Naisha Shah's co-authors include J. Craig Venter, Amalio Telenti, Ewen F. Kirkness, Elizabeth T. Cirulli, Lining Guo, Tim D. Spector, Lori Napier, Lei Huang, Christine Leon Swisher and C. Thomas Caskey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Immunity.

In The Last Decade

Naisha Shah

19 papers receiving 863 citations

Peers

Naisha Shah

GENET

PHYSI

IMMUN

PHEOH

Chanin Limwongse Thailand

Konstantinos Sidiropoulos United Kingdom

Aiping Lin United States

Elena Zaslavsky United States

James A. Eddy United States

Jun Xiong China

Nikolas Pontikos United Kingdom

Wenan Chen United States

Chun Zeng China

Guilherme Viteri United Kingdom

Chanin Limwongse Thailand

Naisha Shah

511 ×1.3

243 ×1.0

GENET

96 ×0.6

PHYSI

64 ×0.5

IMMUN

59 ×0.7

PHEOH

Citations per year, relative to Naisha Shah Naisha Shah (= 1×) peers Chanin Limwongse

Countries citing papers authored by Naisha Shah

Since Specialization

Citations

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

Fields of papers citing papers by Naisha Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naisha Shah

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

All Works

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19 of 19 papers shown

Shao, Li‐Dong, Ruizheng Shi, Yujiao Cai, et al.. (2024). SINGLE-CELL TRANSCRIPTOME ANALYSIS REVEALS DISTINCT CHARACTERISTICS OF ANTI-CD22 CAR T-CELL INFUSION PRODUCTS ASSOCIATED WITH EFFICACY AND TOXICITY. Cytotherapy. 26(6). S12–S13. 1 indexed citations

Donlon, Timothy A., Brian J. Morris, Randi Chen, et al.. (2023). Proteomic basis of mortality resilience mediated by FOXO3 longevity genotype. GeroScience. 45(4). 2303–2324. 5 indexed citations

Shah, Naisha, et al.. (2021). Markerless Augmented Reality based application for E-Commerce to Visualise 3D Content. 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA). 756–760. 7 indexed citations

Shomorony, Ilan, Elizabeth T. Cirulli, Lei Huang, et al.. (2020). An unsupervised learning approach to identify novel signatures of health and disease from multimodal data. Genome Medicine. 12(1). 7–7. 34 indexed citations

Espinoza, Josh L., Naisha Shah, Suren Singh, William Nelson, & Christopher L. Dupont. (2020). Applications of weighted association networks applied to compositional data in biology. Environmental Microbiology. 22(8). 3020–3038. 15 indexed citations

Shah, Naisha, et al.. (2020). Real-Time Object Detection for Visually Challenged People. 311–316. 42 indexed citations

Shah, Naisha, et al.. (2020). A Survey: Mobile Cloud Computing in Education. 2. 655–659. 6 indexed citations

Shah, Naisha, Ying‐Chen Claire Hou, Hung‐Chun Yu, et al.. (2018). Identification of Misclassified ClinVar Variants via Disease Population Prevalence. The American Journal of Human Genetics. 102(4). 609–619. 85 indexed citations

Cirulli, Elizabeth T., Lining Guo, Christine Leon Swisher, et al.. (2018). Profound Perturbation of the Metabolome in Obesity Is Associated with Health Risk. Cell Metabolism. 29(2). 488–500.e2. 242 indexed citations

10.

Cohen, Isaac, Elizabeth T. Cirulli, Matthew Mitchell, et al.. (2018). Acetaminophen (Paracetamol) Use Modifies the Sulfation of Sex Hormones. EBioMedicine. 28. 316–323. 28 indexed citations

11.

Telenti, Amalio, Levi Pierce, William Biggs, et al.. (2016). Deep sequencing of 10,000 human genomes. Proceedings of the National Academy of Sciences. 113(42). 11901–11906. 195 indexed citations

12.

Lu, Yong, Angélique Biancotto, Foo Cheung, et al.. (2016). Systematic Analysis of Cell-to-Cell Expression Variation of T Lymphocytes in a Human Cohort Identifies Aging and Genetic Associations. Immunity. 45(5). 1162–1175. 33 indexed citations

13.

Fitzpatrick, Darren J., Colm J. Ryan, Naisha Shah, et al.. (2015). Genome-wide epistatic expression quantitative trait loci discovery in four human tissues reveals the importance of local chromosomal interactions governing gene expression. BMC Genomics. 16(1). 109–109. 6 indexed citations

14.

Lynn, Miriam A., Naisha Shah, Judith Conroy, et al.. (2014). A Study of Alveolar Rhabdomyosarcoma Copy Number Alterations by Single Nucleotide Polymorphism Analysis. Applied immunohistochemistry & molecular morphology. 22(3). 213–221. 12 indexed citations

15.

Kardava, Lela, Susan Moir, Naisha Shah, et al.. (2014). Abnormal B cell memory subsets dominate HIV-specific responses in infected individuals. Journal of Clinical Investigation. 124(7). 3252–3262. 100 indexed citations

16.

Conroy, Judith, Paul McGettigan, Dara McCreary, et al.. (2014). Towards the identification of a genetic basis for Landau‐Kleffner syndrome. Epilepsia. 55(6). 858–865. 41 indexed citations

17.

Lynn, Miriam A., Yuexiang Wang, Naisha Shah, et al.. (2013). High-resolution Genome-wide Copy-number Analyses Identify Localized Copy-number Alterations in Ewing Sarcoma. Diagnostic Molecular Pathology. 22(2). 76–84. 14 indexed citations

18.

Magalhães, Tiago R., Jillian P. Casey, Judith Conroy, et al.. (2012). HGDP and HapMap Analysis by Ancestry Mapper Reveals Local and Global Population Relationships. PLoS ONE. 7(11). e49438–e49438. 9 indexed citations

19.

Conroy, Judith, Veronica Donoghue, M. Mullarkey, et al.. (2010). Agenesis of the corpus callosum with midline lipoma associated with an Xp22.31–Xp22.12 deletion. Clinical Dysmorphology. 20(1). 21–25. 2 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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