Pranesh Chakraborty

1.7k total citations
44 papers, 943 citations indexed

About

Pranesh Chakraborty is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Clinical Biochemistry. According to data from OpenAlex, Pranesh Chakraborty has authored 44 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pediatrics, Perinatology and Child Health, 13 papers in Pulmonary and Respiratory Medicine and 11 papers in Clinical Biochemistry. Recurrent topics in Pranesh Chakraborty's work include Metabolism and Genetic Disorders (11 papers), Neonatal Health and Biochemistry (10 papers) and Cystic Fibrosis Research Advances (8 papers). Pranesh Chakraborty is often cited by papers focused on Metabolism and Genetic Disorders (11 papers), Neonatal Health and Biochemistry (10 papers) and Cystic Fibrosis Research Advances (8 papers). Pranesh Chakraborty collaborates with scholars based in Canada, United States and United Arab Emirates. Pranesh Chakraborty's co-authors include Osama Y. Al-Dirbashi, Lawrence Fisher, Dermot R. Doherty, Mais J. Jebrail, Hao Yang, Kusum Menon, James Dayre McNally, Aaron R. Wheeler, Kathryn Williams and Alicia DiBattista and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Pranesh Chakraborty

42 papers receiving 924 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pranesh Chakraborty Canada 18 202 195 179 166 158 44 943
Lawrence Fisher Canada 12 129 0.6× 140 0.7× 90 0.5× 100 0.6× 57 0.4× 18 671
J M Kirk United Kingdom 14 238 1.2× 43 0.2× 119 0.7× 158 1.0× 225 1.4× 32 750
Lino Chiandetti Italy 23 149 0.7× 219 1.1× 289 1.6× 46 0.3× 467 3.0× 53 1.3k
Eric Seibert Germany 18 100 0.5× 44 0.2× 48 0.3× 15 0.1× 66 0.4× 39 1.1k
Yoon Jung Kim South Korea 16 114 0.6× 34 0.2× 40 0.2× 20 0.1× 104 0.7× 61 909
Christopher Lotz Germany 23 316 1.6× 174 0.9× 25 0.1× 34 0.2× 142 0.9× 67 1.4k
S Tam Hong Kong 16 234 1.2× 37 0.2× 60 0.3× 22 0.1× 111 0.7× 23 984
H Doorenbos Netherlands 22 326 1.6× 29 0.1× 55 0.3× 35 0.2× 110 0.7× 95 1.5k
İsmail Kurt Türkiye 20 301 1.5× 10 0.1× 144 0.8× 50 0.3× 71 0.4× 55 982

Countries citing papers authored by Pranesh Chakraborty

Since Specialization
Citations

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

Fields of papers citing papers by Pranesh Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pranesh Chakraborty

This figure shows the co-authorship network connecting the top 25 collaborators of Pranesh Chakraborty. A scholar is included among the top collaborators of Pranesh Chakraborty 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 Pranesh Chakraborty. Pranesh Chakraborty 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.
Luca, Stephanie, Diane K. Wherrett, Holly O. Witteman, et al.. (2025). Protocol for the development of a core outcome set for type 1 diabetes risk screening. BMJ Open. 15(6). e099537–e099537. 1 indexed citations
2.
Kubaski, Francyne, Laura Pollard, Khaja Basheeruddin, et al.. (2024). High precision newborn screening for mucopolysaccharidosis type I by enzymatic activity followed by endogenous, non-reducing end glycosaminoglycan analysis. Molecular Genetics and Metabolism. 144(2). 108612–108612.
3.
Hayeems, Robin Z., Fiona A. Miller, Carolyn J. Barg, et al.. (2021). Primary care providers’ role in newborn screening result notification for cystic fibrosis. Canadian Family Physician. 67(6). 439–448. 8 indexed citations
4.
Tang, Ken, et al.. (2021). Transient vs Permanent Congenital Hypothyroidism in Ontario, Canada: Predictive Factors and Scoring System. The Journal of Clinical Endocrinology & Metabolism. 107(3). 638–648. 12 indexed citations
5.
James, Adrian L., Pranesh Chakraborty, Christopher Tomlinson, & Robert V. Harrison. (2020). Does riboflavin depletion cause auditory neuropathy spectrum disorder in at risk neonates?. International Journal of Pediatric Otorhinolaryngology. 137. 110238–110238. 3 indexed citations
6.
Brehaut, Jamie, et al.. (2019). Family History Taking in Pediatric Practice: A Qualitative Interview Study. Public Health Genomics. 22(3-4). 110–118. 3 indexed citations
7.
Lamhonwah, Anne‐Marie, Dennis E. Bulman, Hanna Faghfoury, et al.. (2019). Carnitine uptake defect due to a 5′UTR mutation in a pedigree with false positives and false negatives on Newborn screening. Molecular Genetics and Metabolism. 129(3). 213–218. 9 indexed citations
8.
9.
DiBattista, Alicia, et al.. (2018). Metabolic Signatures of Cystic Fibrosis Identified in Dried Blood Spots For Newborn Screening Without Carrier Identification. Journal of Proteome Research. 18(3). 841–854. 35 indexed citations
10.
O’Connor, Kathleen, Sharan Goobie, Greg Moran, et al.. (2018). Psychosocial impact on mothers receiving expanded newborn screening results. European Journal of Human Genetics. 26(4). 477–484. 19 indexed citations
11.
Hawken, Steven, Robin Ducharme, Malia S. Q. Murphy, et al.. (2017). Performance of a postnatal metabolic gestational age algorithm: a retrospective validation study among ethnic subgroups in Canada. BMJ Open. 7(9). e015615–e015615. 7 indexed citations
12.
Hayeems, Robin Z., Fiona A. Miller, Carolyn J. Barg, et al.. (2017). Psychosocial Response to Uncertain Newborn Screening Results for Cystic Fibrosis. The Journal of Pediatrics. 184. 165–171.e1. 35 indexed citations
13.
Al-Dirbashi, Osama Y., et al.. (2016). Quantification of 2-methylcitric acid in dried blood spots improves newborn screening for propionic and methylmalonic acidemias. Journal of Medical Screening. 24(2). 58–61. 15 indexed citations
14.
Bombard, Yvonne, Fiona A. Miller, Carolyn J. Barg, et al.. (2016). A secondary benefit: the reproductive impact of carrier results from newborn screening for cystic fibrosis. Genetics in Medicine. 19(4). 403–411. 8 indexed citations
15.
16.
17.
Jebrail, Mais J., Hao Yang, Jared M. Mudrik, et al.. (2011). A digital microfluidic method for dried blood spot analysis. Lab on a Chip. 11(19). 3218–3218. 94 indexed citations
18.
Kölker, Stefan, Lawrence Fisher, Tony Rupar, et al.. (2010). Diagnosis of glutaric aciduria type 1 by measuring 3‐hydroxyglutaric acid in dried urine spots by liquid chromatography tandem mass spectrometry. Journal of Inherited Metabolic Disease. 34(1). 173–180. 32 indexed citations
19.
Al-Dirbashi, Osama Y., et al.. (2009). Identification of a neonate with hepatorenal tyrosinemia by combined routine newborn screening for succinylacetone, acylcarnitines and amino acids. Clinical Biochemistry. 43(7-8). 691–693. 9 indexed citations
20.
Burwinkel, Barbara, et al.. (2003). Severe Phenotype of Phosphorylase Kinase-Deficient Liver Glycogenosis with Mutations in the PHKG2 Gene. Pediatric Research. 54(6). 834–839. 35 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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