Charul Gijavanekar

601 total citations
15 papers, 135 citations indexed

About

Charul Gijavanekar is a scholar working on Clinical Biochemistry, Molecular Biology and Genetics. According to data from OpenAlex, Charul Gijavanekar has authored 15 papers receiving a total of 135 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Clinical Biochemistry, 8 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Charul Gijavanekar's work include Metabolism and Genetic Disorders (10 papers), Mitochondrial Function and Pathology (5 papers) and Genomics and Rare Diseases (3 papers). Charul Gijavanekar is often cited by papers focused on Metabolism and Genetic Disorders (10 papers), Mitochondrial Function and Pathology (5 papers) and Genomics and Rare Diseases (3 papers). Charul Gijavanekar collaborates with scholars based in United States, Hong Kong and China. Charul Gijavanekar's co-authors include Sarah H. Elsea, V. Reid Sutton, Adam D. Kennedy, Jing Xiao, Brian J. Shayota, Kirk L. Pappan, Qin Sun, Fernando Scaglia, Kevin E. Glinton and Ning Liu and has published in prestigious journals such as Analytical Biochemistry, FEBS Journal and JAMA Network Open.

In The Last Decade

Charul Gijavanekar

13 papers receiving 135 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charul Gijavanekar United States 6 79 68 32 16 12 15 135
Jessica L. Schneller United States 6 87 1.1× 41 0.6× 48 1.5× 23 1.4× 7 0.6× 6 139
Patricia Alcaide Spain 8 73 0.9× 60 0.9× 13 0.4× 22 1.4× 3 0.3× 11 270
Bryan R. Gorman United States 6 94 1.2× 25 0.4× 25 0.8× 6 0.4× 7 0.6× 12 169
Kelly Hamman United States 5 85 1.1× 81 1.2× 48 1.5× 23 1.4× 6 0.5× 7 148
María Concepción Gil‐Rodríguez Spain 8 97 1.2× 34 0.5× 33 1.0× 26 1.6× 7 0.6× 9 140
Kelly Shaffer United States 5 100 1.3× 14 0.2× 26 0.8× 8 0.5× 9 0.8× 7 140
Shu-Min Kao Taiwan 6 40 0.5× 22 0.3× 34 1.1× 83 5.2× 2 0.2× 7 186
Kimberly Ingalls United States 5 43 0.5× 27 0.4× 11 0.3× 21 1.3× 15 1.3× 7 81
Jianhuang Xue China 3 96 1.2× 15 0.2× 8 0.3× 7 0.4× 9 0.8× 7 105
Hülya Azaklı Türkiye 5 47 0.6× 14 0.2× 20 0.6× 11 0.7× 2 0.2× 10 72

Countries citing papers authored by Charul Gijavanekar

Since Specialization
Citations

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

Fields of papers citing papers by Charul Gijavanekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charul Gijavanekar

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

All Works

15 of 15 papers shown
1.
Mackay, Laura K., et al.. (2025). Expanded Clinical Phenotype and the Role of Untargeted Metabolomics Analysis in Confirming the Diagnosis of Sodium‐Dependent Multivitamin Transporter Deficiency. American Journal of Medical Genetics Part A. 197(6). e64014–e64014. 1 indexed citations
2.
Glinton, Kevin E., Charul Gijavanekar, Abbhirami Rajagopal, et al.. (2024). Succinic semialdehyde dehydrogenase deficiency: a metabolic and genomic approach to diagnosis. Frontiers in Genetics. 15. 1405468–1405468. 1 indexed citations
3.
Gijavanekar, Charul, Yue Wang, Keren Machol, et al.. (2024). Untargeted metabolomics analysis as a potential screening tool for 3-methylglutaconic aciduria syndromes. Molecular Genetics and Metabolism. 144(3). 109009–109009.
4.
Machol, Keren, Stephen F. Kralik, Mir Reza Bekheirnia, et al.. (2024). Expanded clinical phenotype and untargeted metabolomics analysis in RARS2-related mitochondrial disorder: a case report. BMC Neurology. 24(1). 2 indexed citations
5.
Gijavanekar, Charul & Sarah H. Elsea. (2023). Clinical Untargeted Metabolomics as a Functional Screen to Improve Variant Classification. Current Protocols. 3(4). e720–e720. 2 indexed citations
6.
Gijavanekar, Charul, Stephen F. Kralik, Sarah H. Elsea, et al.. (2023). Heteroplasmic pathogenic m.12315G>A variant in MT‐TL2 presenting with MELAS syndrome and depletion of nitric oxide donors. American Journal of Medical Genetics Part A. 194(3). e63461–e63461.
7.
Gijavanekar, Charul, et al.. (2023). Novel phenotype of aortic root dilatation and late‐onset metabolic decompensation in a patient with TMEM70 deficiency. American Journal of Medical Genetics Part A. 191(5). 1366–1372. 4 indexed citations
8.
Calame, Daniel G., Charul Gijavanekar, Kristen Fisher, et al.. (2022). NAXE deficiency: A neurometabolic disorder of NAD(P)HX repair amenable for metabolic correction. Molecular Genetics and Metabolism. 136(2). 101–110. 16 indexed citations
9.
Gijavanekar, Charul, Sarah H. Elsea, Stephen F. Kralik, et al.. (2021). A phenotypic expansion of TRNT1 associated sideroblastic anemia with immunodeficiency, fevers, and developmental delay. American Journal of Medical Genetics Part A. 188(1). 259–268. 5 indexed citations
10.
Liu, Ning, Jing Xiao, Charul Gijavanekar, et al.. (2021). Comparison of Untargeted Metabolomic Profiling vs Traditional Metabolic Screening to Identify Inborn Errors of Metabolism. JAMA Network Open. 4(7). e2114155–e2114155. 47 indexed citations
11.
Shayota, Brian J., Taraka Donti, Jing Xiao, et al.. (2020). Untargeted metabolomics as an unbiased approach to the diagnosis of inborn errors of metabolism of the non-oxidative branch of the pentose phosphate pathway. Molecular Genetics and Metabolism. 131(1-2). 147–154. 16 indexed citations
12.
Pillai, Nishitha R., Charul Gijavanekar, Ning Liu, et al.. (2020). Hematologic presentation and the role of untargeted metabolomics analysis in monitoring treatment for riboflavin transporter deficiency. American Journal of Medical Genetics Part A. 182(11). 2781–2787. 16 indexed citations
13.
Gijavanekar, Charul, Rafal Drabek, George W. Jackson, et al.. (2012). Detection and Typing of Viruses Using Broadly Sensitive Cocktail-PCR and Mass Spectrometric Cataloging. Journal of Molecular Diagnostics. 14(4). 402–407. 4 indexed citations
14.
Gijavanekar, Charul, Ulrich Strych, Yuriy Fofanov, George E. Fox, & Richard C. Willson. (2011). Rare target enrichment for ultrasensitive PCR detection using cot–rehybridization and duplex-specific nuclease. Analytical Biochemistry. 421(1). 81–85. 8 indexed citations
15.
Gijavanekar, Charul, Feng Chen, Catherine Putonti, et al.. (2011). PCR detection of nearly any dengue virus strain using a highly sensitive primer ‘cocktail’. FEBS Journal. 278(10). 1676–1687. 13 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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