Pritam Chanda

1.6k total citations
23 papers, 546 citations indexed

About

Pritam Chanda is a scholar working on Genetics, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Pritam Chanda has authored 23 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 13 papers in Molecular Biology and 3 papers in Computer Networks and Communications. Recurrent topics in Pritam Chanda's work include Genetic Associations and Epidemiology (13 papers), Gene expression and cancer classification (11 papers) and Bioinformatics and Genomic Networks (7 papers). Pritam Chanda is often cited by papers focused on Genetic Associations and Epidemiology (13 papers), Gene expression and cancer classification (11 papers) and Bioinformatics and Genomic Networks (7 papers). Pritam Chanda collaborates with scholars based in United States, India and Canada. Pritam Chanda's co-authors include John W. Raymond, Murali Ramanathan, Aidong Zhang, Lara Sucheston, Joel S. Bader, Dan E. Arking, Hailiang Huang, Álvaro Alonso, Jo L. Freudenheim and Daniel A. Brazeau and has published in prestigious journals such as PLoS ONE, Genetics and The American Journal of Human Genetics.

In The Last Decade

Pritam Chanda

23 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pritam Chanda United States 13 217 193 67 56 56 23 546
King Wai Lau United Kingdom 11 282 1.3× 49 0.3× 51 0.8× 12 0.2× 22 0.4× 20 581
Cheng‐Wei Hsieh Taiwan 7 203 0.9× 66 0.3× 116 1.7× 21 0.4× 16 0.3× 14 521
Wook-Dong Kim South Korea 13 203 0.9× 44 0.2× 69 1.0× 9 0.2× 60 1.1× 39 539
Wenzheng Bao China 18 795 3.7× 47 0.2× 105 1.6× 11 0.2× 32 0.6× 59 1.1k
Brian Ingalls Canada 22 838 3.9× 176 0.9× 8 0.1× 68 1.2× 48 0.9× 79 1.4k
Riccardo Boscolo United States 9 544 2.5× 74 0.4× 66 1.0× 5 0.1× 23 0.4× 10 765
Hyuk Cho United States 9 207 1.0× 28 0.1× 105 1.6× 39 0.7× 27 0.5× 33 512
Gurpreet Kaur India 11 92 0.4× 38 0.2× 186 2.8× 24 0.4× 33 0.6× 38 455

Countries citing papers authored by Pritam Chanda

Since Specialization
Citations

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

Fields of papers citing papers by Pritam Chanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pritam Chanda

This figure shows the co-authorship network connecting the top 25 collaborators of Pritam Chanda. A scholar is included among the top collaborators of Pritam Chanda 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 Pritam Chanda. Pritam Chanda 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.
Djoumbou-Feunang, Yannick, J.H. Kinney, Pritam Chanda, et al.. (2023). Cheminformatics and artificial intelligence for accelerating agrochemical discovery. Frontiers in Chemistry. 11. 1292027–1292027. 12 indexed citations
2.
Chanda, Pritam, et al.. (2020). Information Theory in Computational Biology: Where We Stand Today. Entropy. 22(6). 627–627. 28 indexed citations
3.
Raymond, John W., et al.. (2018). DeepSort: deep convolutional networks for sorting haploid maize seeds. BMC Bioinformatics. 19(S9). 289–289. 122 indexed citations
4.
Yang, Jian‐Wei, et al.. (2013). SYMPHONY, an information-theoretic method for gene–gene and gene–environment interaction analysis of disease syndromes. Heredity. 110(6). 548–559. 8 indexed citations
5.
Chanda, Pritam, Hailiang Huang, Dan E. Arking, & Joel S. Bader. (2013). Fast Association Tests for Genes with FAST. PLoS ONE. 8(7). e68585–e68585. 21 indexed citations
6.
Chanda, Pritam, Yasunori Sato, Nahoko Kaniwa, et al.. (2013). Vertical Integration of Pharmacogenetics in Population PK/PD Modeling: A Novel Information Theoretic Method. CPT Pharmacometrics & Systems Pharmacology. 2(2). 1–10. 8 indexed citations
7.
Kaur, Ranjeet, Sonali Paul Mazumdar, Pritam Chanda, et al.. (2013). Biophysical Linkage with Simulation Modelling for Sustainable Land Use and Agricultural Productivity: A Case Study in Western Uttar Pradesh, India. Procedia Environmental Sciences. 18. 818–828. 2 indexed citations
8.
Chanda, Pritam, A Zhang, & Murali Ramanathan. (2011). Modeling of environmental and genetic interactions with AMBROSIA, an information-theoretic model synthesis method. Heredity. 107(4). 320–327. 7 indexed citations
9.
Huang, Hailiang, Pritam Chanda, Álvaro Alonso, Joel S. Bader, & Dan E. Arking. (2011). Gene-Based Tests of Association. PLoS Genetics. 7(7). e1002177–e1002177. 66 indexed citations
10.
Tritchler, David, Lara Sucheston, Pritam Chanda, & Murali Ramanathan. (2011). Information Metrics in Genetic Epidemiology. Statistical Applications in Genetics and Molecular Biology. 10(1). Article 12–Article 12. 7 indexed citations
11.
Sucheston, Lara, Pritam Chanda, Aidong Zhang, David Tritchler, & Murali Ramanathan. (2010). Comparison of information-theoretic to statistical methods for gene-gene interactions in the presence of genetic heterogeneity. BMC Genomics. 11(1). 487–487. 18 indexed citations
12.
Chanda, Pritam, et al.. (2010). On Mining Statistically Significant Attribute Association Information. 141–152. 3 indexed citations
13.
Chanda, Pritam, Lara Sucheston, Song Liu, Aidong Zhang, & Murali Ramanathan. (2009). Information-theoretic gene-gene and gene-environment interaction analysis of quantitative traits. BMC Genomics. 10(1). 509–509. 30 indexed citations
14.
Chanda, Pritam, Lara Sucheston, Aidong Zhang, & Murali Ramanathan. (2009). The interaction index, a novel information-theoretic metric for prioritizing interacting genetic variations and environmental factors. European Journal of Human Genetics. 17(10). 1274–1286. 21 indexed citations
15.
An, Ping, Odity Mukherjee, Pritam Chanda, et al.. (2009). The challenge of detecting epistasis (G×G Interactions): Genetic Analysis Workshop 16. Genetic Epidemiology. 33(S1). S58–67. 16 indexed citations
16.
Chanda, Pritam, Aidong Zhang, Lara Sucheston, & Murali Ramanathan. (2009). A two-stage search strategy for detecting multiple loci associated with rheumatoid arthritis. BMC Proceedings. 3(S7). S72–S72. 6 indexed citations
17.
Chowdhury, Kaushik, Nagesh Nandiraju, Pritam Chanda, Dharma P. Agrawal, & Qing-An Zeng. (2008). Channel allocation and medium access control for wireless sensor networks. Ad Hoc Networks. 7(2). 307–321. 41 indexed citations
18.
Chanda, Pritam, Aidong Zhang, Daniel A. Brazeau, et al.. (2007). Information-Theoretic Metrics for Visualizing Gene-Environment Interactions. The American Journal of Human Genetics. 81(5). 939–963. 51 indexed citations
19.
Chowdhury, Kaushik, Pritam Chanda, Dharma P. Agrawal, & Qing-An Zeng. (2006). DCA - A Distributed Channel Allocation Scheme for Wireless Sensor Networks. 2. 1297–1301. 10 indexed citations
20.
Chanda, Pritam, Anurag Kumar, & Arzad A. Kherani. (2002). An approximate calculation of max-min fair throughputs for non-persistent elastic flows. 3. 1892–1897. 1 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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