Bijal A. Parikh

1.5k total citations · 1 hit paper
48 papers, 800 citations indexed

About

Bijal A. Parikh is a scholar working on Immunology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Bijal A. Parikh has authored 48 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 17 papers in Infectious Diseases and 7 papers in Epidemiology. Recurrent topics in Bijal A. Parikh's work include Immune Cell Function and Interaction (11 papers), SARS-CoV-2 detection and testing (9 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). Bijal A. Parikh is often cited by papers focused on Immune Cell Function and Interaction (11 papers), SARS-CoV-2 detection and testing (9 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). Bijal A. Parikh collaborates with scholars based in United States, Portugal and United Kingdom. Bijal A. Parikh's co-authors include Nilgun E. Tumer, Wayne M. Yokoyama, George Milligan, Tarun B. Patel, Bipin G. Nair, Liping Yang, Diana L. Beckman, Jennifer Poursine‐Laurent, Ping Li and Jonathan D. Dinman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Bijal A. Parikh

42 papers receiving 777 citations

Hit Papers

Ultrasensitive lateral-flow assays via plasmonically acti... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bijal A. Parikh United States 15 346 317 136 134 130 48 800
Tongren Yang China 13 188 0.5× 835 2.6× 39 0.3× 198 1.5× 87 0.7× 18 1.1k
Caitlin D. Lemke United States 15 474 1.4× 344 1.1× 35 0.3× 93 0.7× 130 1.0× 30 894
Helena Villanueva Spain 15 351 1.0× 532 1.7× 133 1.0× 86 0.6× 29 0.2× 28 867
Sascha Pust Norway 15 219 0.6× 426 1.3× 50 0.4× 29 0.2× 148 1.1× 19 780
Mohammad M. Farajollahi Iran 12 111 0.3× 238 0.8× 48 0.4× 76 0.6× 41 0.3× 44 505
Yu Mei China 16 434 1.3× 190 0.6× 29 0.2× 95 0.7× 28 0.2× 24 802
Xueqin Zhu China 17 305 0.9× 671 2.1× 30 0.2× 162 1.2× 40 0.3× 40 1.1k
Zining Wang China 14 408 1.2× 449 1.4× 16 0.1× 88 0.7× 86 0.7× 36 814
Shinya Matsumoto Japan 15 76 0.2× 453 1.4× 116 0.9× 41 0.3× 27 0.2× 45 695
Philippe De Groote Belgium 9 238 0.7× 356 1.1× 27 0.2× 69 0.5× 45 0.3× 13 728

Countries citing papers authored by Bijal A. Parikh

Since Specialization
Citations

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

Fields of papers citing papers by Bijal A. Parikh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bijal A. Parikh

This figure shows the co-authorship network connecting the top 25 collaborators of Bijal A. Parikh. A scholar is included among the top collaborators of Bijal A. Parikh 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 Bijal A. Parikh. Bijal A. Parikh 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.
Bowling, Kevin M., Alexa Dickson, Molly C. Schroeder, et al.. (2024). Modified Rules for Classification of Variants Associated With Disorders of Somatic Mosaicism. Clinical Genetics. 107(3). 261–270. 3 indexed citations
2.
Ghasemi, Reza, Kevin M. Bowling, Kilannin Krysiak, et al.. (2024). Comprehensive Analysis of TEK Variants in Patients With Vascular Malformations. Clinical Genetics. 107(4). 458–462.
3.
Droit, Lindsay, et al.. (2024). Tracking the prevalence and emergence of SARS-CoV-2 variants of concern using a regional genomic surveillance program. Microbiology Spectrum. 12(8). e0422523–e0422523. 2 indexed citations
4.
Fan, Changxu, Xiaoyun Xing, Samuel J. H. Murphy, et al.. (2024). Cis-regulatory evolution of the recently expanded Ly49 gene family. Nature Communications. 15(1). 4839–4839. 2 indexed citations
5.
Piersma, Sytse J., Pamela Wong, Michael D. Bern, et al.. (2024). Expression of a single inhibitory member of the Ly49 receptor family is sufficient to license NK cells for effector functions. eLife. 13. 1 indexed citations
6.
Parikh, Bijal A. & Neil W. Anderson. (2023). Quantitative Viral Load Monitoring. 6(1). 77–86. 1 indexed citations
7.
Jiang, Hongbing, Astha Joshi, Andrew B. Janowski, et al.. (2023). The Highly Conserved Stem-Loop II Motif Is Dispensable for SARS-CoV-2. Journal of Virology. 97(6). e0063523–e0063523. 8 indexed citations
8.
Kaplowitz, Elianna, et al.. (2022). Incidentally Found Midtrimester Shortened Cervical Length: Practice Patterns among American Maternal–Fetal Medicine Specialists. American Journal of Perinatology. 40(4). 341–347. 1 indexed citations
9.
Tahan, Stephen, Bijal A. Parikh, Lindsay Droit, et al.. (2021). SARS-CoV-2 E Gene Variant Alters Analytical Sensitivity Characteristics of Viral Detection Using a Commercial Reverse Transcription-PCR Assay. Journal of Clinical Microbiology. 59(7). e0007521–e0007521. 36 indexed citations
10.
Potter, Robert F., et al.. (2021). Evaluation of PCR cycle threshold values by patient population with the quidel lyra SARS-CoV-2 assay. Diagnostic Microbiology and Infectious Disease. 101(2). 115387–115387. 1 indexed citations
11.
Raju, Saravanan, Neil W. Anderson, Elizabeth Robinson, et al.. (2021). Comparison of 6 SARS-CoV-2 Molecular Methods and Correlation With the Cycle Threshold Distribution in Clinical Specimens. The Journal of Applied Laboratory Medicine. 6(6). 1452–1462. 7 indexed citations
12.
Parikh, Bijal A., Thomas C. Bailey, Patrick G. Lyons, & Neil W. Anderson. (2020). The Brief Case: “Not Positive” or “Not Sure”—COVID-19-Negative Results in a Symptomatic Patient. Journal of Clinical Microbiology. 58(8). 7 indexed citations
13.
Liu, Chang, Brian Duffy, Eric T. Weimer, et al.. (2020). Performance of a multiplexed amplicon-based next-generation sequencing assay for HLA typing. PLoS ONE. 15(4). e0232050–e0232050. 21 indexed citations
14.
Parikh, Bijal A., Michael D. Bern, Sytse J. Piersma, et al.. (2020). Control of Viral Infection by Natural Killer Cell Inhibitory Receptors. Cell Reports. 32(4). 107969–107969. 22 indexed citations
15.
McNulty, Samantha N., Bijal A. Parikh, Eric J. Duncavage, Jonathan W. Heusel, & John D. Pfeifer. (2019). Optimization of Population Frequency Cutoffs for Filtering Common Germline Polymorphisms from Tumor-Only Next-Generation Sequencing Data. Journal of Molecular Diagnostics. 21(5). 903–912. 14 indexed citations
16.
Parikh, Bijal A., et al.. (2019). 123: The value of first trimester blood pressure in predicting pregnancy-induced hypertensive disorders. American Journal of Obstetrics and Gynecology. 222(1). S95–S95.
17.
Jash, Arijita, Tyler J. Ripperger, Bijal A. Parikh, et al.. (2019). ZBTB32 restrains antibody responses to murine cytomegalovirus infections, but not other repetitive challenges. Scientific Reports. 9(1). 15257–15257. 8 indexed citations
18.
Parikh, Bijal A., Diana L. Beckman, Swapneel J. Patel, J. Michael White, & Wayne M. Yokoyama. (2015). Detailed Phenotypic and Molecular Analyses of Genetically Modified Mice Generated by CRISPR-Cas9-Mediated Editing. PLoS ONE. 10(1). e0116484–e0116484. 41 indexed citations
20.
Parikh, Bijal A., et al.. (2008). Ricin Inhibits Activation of the Unfolded Protein Response by Preventing Splicing of the HAC1 mRNA. Journal of Biological Chemistry. 283(10). 6145–6153. 32 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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