Kunal Kundu

1.0k total citations
12 papers, 110 citations indexed

About

Kunal Kundu is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, Kunal Kundu has authored 12 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 5 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in Kunal Kundu's work include Genomics and Rare Diseases (6 papers), Genomic variations and chromosomal abnormalities (5 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). Kunal Kundu is often cited by papers focused on Genomics and Rare Diseases (6 papers), Genomic variations and chromosomal abnormalities (5 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). Kunal Kundu collaborates with scholars based in United States, India and Italy. Kunal Kundu's co-authors include Lipika R. Pal, Yizhou Yin, John Moult, Vijaya Kumar, V. S. V. Satyanarayana, Siva Ramamoorthy, Jay P. Patel, Rajgopal Srinivasan, Richard A. Gatti and Steven E. Brenner and has published in prestigious journals such as Bioinformatics, Journal of Allergy and Clinical Immunology and Industrial Crops and Products.

In The Last Decade

Kunal Kundu

12 papers receiving 107 citations

Peers

Countries citing papers authored by Kunal Kundu

Since Specialization

Citations

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

Fields of papers citing papers by Kunal Kundu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunal Kundu

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

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	MecCog: a knowledge representation framework for genetic disease mechanism 2021 ·Bioinformatics ·Kunal Kundu, Lindley Darden, John Moult	1
2	Design and Modeling of a Compact Lightweight Electric-Scooter 2021 ·(unknown), Kunal Kundu, Jyotindra Narayan, Santosha K. Dwivedy	3
3	Matching whole genomes to rare genetic disorders: Identification of potential causative variants using phenotype‐weighted knowledge in the CAGI SickKids5 clinical genomes challenge 2019 ·Human Mutation ·Lipika R. Pal, Kunal Kundu, Yizhou Yin, John Moult	2
4	Assessment of methods for predicting the effects of PTEN and TPMT protein variants 2019 ·Human Mutation ·Vikas Pejaver, Giulia Babbi, Rita Casadio, Lukas Folkman, Panagiotis Katsonis, Kunal Kundu, Olivier Lichtarge, Pier Luigi Martelli, Max J. Miller, John Moult, Lipika R. Pal, Castrense Savojardo, Yizhou Yin, Yaoqi Zhou, Predrag Radivojac, Yana Bromberg	13
5	Lessons from the CAGI‐4 Hopkins clinical panel challenge 2017 ·Human Mutation ·John‐Marc Chandonia, Aashish N. Adhikari, Marco Carraro, Aparna Chhibber, Garry R. Cutting, Yao Fu, Alessandra Gasparini, David T. Jones, A. Krämer, Kunal Kundu, Hugo Y. K. Lam, Emanuela Leonardi, John Moult, Lipika R. Pal, David B. Searls, Sohela Shah, Shamil Sunyaev, Silvio C. E. Tosatto, Yizhou Yin, Bethany A. Buckley	3
6	CAGI4 Crohn's exome challenge: Marker SNP versus exome variant models for assigning risk of Crohn disease 2017 ·Human Mutation ·Lipika R. Pal, Kunal Kundu, Yizhou Yin, John Moult	14
7	CAGI4 SickKids clinical genomes challenge: A pipeline for identifying pathogenic variants 2017 ·Human Mutation ·Lipika R. Pal, Kunal Kundu, Yizhou Yin, John Moult	4
8	Determination of disease phenotypes and pathogenic variants from exome sequence data in the CAGI 4 gene panel challenge 2017 ·Human Mutation ·Kunal Kundu, Lipika R. Pal, Yizhou Yin, John Moult	2
9	Ensemble variant interpretation methods to predict enzyme activity and assign pathogenicity in the CAGI4 NAGLU (Human N‐acetyl‐glucosaminidase) and UBE2I (Human SUMO‐ligase) challenges 2017 ·Human Mutation ·Yizhou Yin, Kunal Kundu, Lipika R. Pal, John Moult	10
10	Nijmegen Breakage Syndrome Detected By Newborn Screening for T Cell Receptor Excision Circles (TRECs) 2015 ·Journal of Allergy and Clinical Immunology ·Jay Patel, Jennifer M. Puck, Kunal Kundu, Uma Sunderam, (unknown), Rajgopal Srinivasan, Steven E. Brenner, Richard A. Gatti, Joseph A. Church	6
11	Nijmegen Breakage Syndrome Detected by Newborn Screening for T Cell Receptor Excision Circles (TRECs) 2015 ·Journal of Clinical Immunology ·Jay P. Patel, Jennifer M. Puck, Rajgopal Srinivasan, (unknown), Uma Sunderam, Kunal Kundu, Steven E. Brenner, Richard A. Gatti, Joseph A. Church	16
12	Molecular characterization of bixin—An important industrial product 2010 ·Industrial Crops and Products ·Siva Ramamoorthy, (unknown), Kunal Kundu, V. S. V. Satyanarayana, Vijaya Kumar	36

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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