P. Basu

1.5k total citations
66 papers, 1.1k citations indexed

About

P. Basu is a scholar working on Nuclear and High Energy Physics, Radiation and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, P. Basu has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Nuclear and High Energy Physics, 22 papers in Radiation and 18 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in P. Basu's work include Nuclear physics research studies (35 papers), Nuclear Physics and Applications (17 papers) and Atomic and Molecular Physics (16 papers). P. Basu is often cited by papers focused on Nuclear physics research studies (35 papers), Nuclear Physics and Applications (17 papers) and Atomic and Molecular Physics (16 papers). P. Basu collaborates with scholars based in India, United States and Germany. P. Basu's co-authors include Subinit Roy, A. Mukherjee, Joyce A. Lloyd, M. K. Pradhan, M. Saha Sarkar, Partha P. Majumder, Nitai P. Bhattacharyya, B. Dasmahapatra, Susanta Roychoudhury and Jack L. Haar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

P. Basu

63 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Basu India 18 515 356 244 200 149 66 1.1k
Adam C. Mueller United States 19 329 0.6× 752 2.1× 113 0.5× 172 0.9× 29 0.2× 51 1.5k
Takeshi Wada Japan 21 238 0.5× 176 0.5× 141 0.6× 91 0.5× 35 0.2× 114 1.2k
B. Jung Sweden 19 188 0.4× 560 1.6× 72 0.3× 164 0.8× 63 0.4× 52 1.4k
S. Mantovani Italy 14 168 0.3× 122 0.3× 88 0.4× 51 0.3× 44 0.3× 23 570
M. Takahashi Japan 18 82 0.2× 303 0.9× 98 0.4× 285 1.4× 128 0.9× 92 1.3k
D. Russ United States 14 246 0.5× 194 0.5× 87 0.4× 29 0.1× 47 0.3× 37 872
R. Freifelder United States 20 248 0.5× 82 0.2× 254 1.0× 477 2.4× 21 0.1× 66 1.3k
A.G. Weisenberger United States 23 148 0.3× 137 0.4× 235 1.0× 1.1k 5.4× 21 0.1× 156 2.1k
Hiroshi Miyahara Japan 17 105 0.2× 110 0.3× 43 0.2× 520 2.6× 14 0.1× 180 1.1k
I Rodé Germany 10 148 0.3× 343 1.0× 76 0.3× 42 0.2× 9 0.1× 18 813

Countries citing papers authored by P. Basu

Since Specialization
Citations

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

Fields of papers citing papers by P. Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Basu

This figure shows the co-authorship network connecting the top 25 collaborators of P. Basu. A scholar is included among the top collaborators of P. Basu 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 P. Basu. P. Basu 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.
Bhattacharjee, Saikat, M. K. Pradhan, N. Deshmukh, et al.. (2022). Systematic investigation of channel-coupling effects on elastic, inelastic, and neutron-transfer channels in Li6+Tb159. Physical review. C. 106(6).
2.
Chatterjee, A, Paromita Roy, Sudeep Banerjee, et al.. (2022). DNA methylome in pancreatic cancer identified novel promoter hyper-methylation in NPY and FAIM2 genes associated with poor prognosis in Indian patient cohort. Cancer Cell International. 22(1). 334–334. 9 indexed citations
3.
Mukherjee, A., D. Chattopadhyay, M. K. Pradhan, et al.. (2021). Large back-angle quasielastic scattering for Li7+Tb159. Physical review. C. 103(1). 2 indexed citations
4.
Chatterjee, A, Analabha Basu, Kausik Das, Abhijit Chowdhury, & P. Basu. (2021). Exome-wide scan identifies significant association of rs4788084 in IL27 promoter with increase in hepatic fat content among Indians. Gene. 775. 145431–145431. 12 indexed citations
5.
Chatterjee, A, Analabha Basu, Kausik Das, et al.. (2020). Hepatic transcriptome signature correlated with HOMA-IR explains early nonalcoholic fatty liver disease pathogenesis. Annals of Hepatology. 19(5). 472–481. 11 indexed citations
6.
Dasgupta, Debanjali, Indranil Mukhopadhyay, A Chatterjee, et al.. (2016). Genetic Association and Gene-Gene Interaction Reveal Genetic Variations in ADH1B, GSTM1 and MnSOD Independently Confer Risk to Alcoholic Liver Diseases in India. PLoS ONE. 11(3). e0149843–e0149843. 12 indexed citations
7.
Roy, Subinit, S. Rajbanshi, A. Mukherjee, et al.. (2016). Probing the fusion ofLi7withNi64at near-barrier energies. Physical review. C. 93(4). 14 indexed citations
8.
Chatterjee, A, Analabha Basu, Abhijit Chowdhury, et al.. (2015). Comparative analyses of genetic risk prediction methods reveal extreme diversity of genetic predisposition to nonalcoholic fatty liver disease (NAFLD) among ethnic populations of India. Journal of Genetics. 94(1). 105–113. 11 indexed citations
9.
Roy, Subinit, S. Rajbanshi, M. K. Pradhan, et al.. (2015). Barrier distribution functions for the systemLi6+Ni64and the effect of channel coupling. Physical Review C. 91(3). 13 indexed citations
10.
Meng, Hailong, Andrew R. Joyce, Daniel E. Adkins, et al.. (2010). A statistical method for excluding non-variable CpG sites in high-throughput DNA methylation profiling. BMC Bioinformatics. 11(1). 227–227. 15 indexed citations
11.
Basu, P., Subinit Roy, R. Bhattacharya, et al.. (2008). Sub-barrier fusion excitation for the system7Li + 28Si. Physical Review C. 78(2). 9 indexed citations
12.
Chervenak, Andrew P., et al.. (2006). Identification, characterization, and expression pattern of the chicken EKLF gene. Developmental Dynamics. 235(7). 1933–1940. 11 indexed citations
13.
Haar, Jack L., et al.. (2006). Isolation of erythroid cells from the mouse embryonic yolk sac by laser capture microdissection and subsequent microarray hybridization. Blood Cells Molecules and Diseases. 37(1). 27–32. 8 indexed citations
14.
Zhang, Ping, et al.. (2005). A functional screen for Krüppel-like factors that regulate the human γ-globin gene through the CACCC promoter element. Blood Cells Molecules and Diseases. 35(2). 227–235. 55 indexed citations
15.
16.
Behera, B. R., S. Kailas, K. Mahata, et al.. (2004). Role of entrance channel properties in heavy ion induced fission fragment angular distribution studies. Nuclear Physics A. 734. 249–252. 4 indexed citations
17.
Basu, P., Partha P. Majumder, Susanta Roychoudhury, & Nitai P. Bhattacharyya. (2001). Haplotype analysis of genomic polymorphisms in and around the myotonic dystrophy locus in diverse populations of India. Human Genetics. 108(4). 310–317. 13 indexed citations
18.
19.
Bhattacharyya, Nitai P., P. Basu, Madhusudan Das, et al.. (1999). Negligible Male Gene Flow Across Ethnic Boundaries in India, Revealed by Analysis of Y-Chromosomal DNA Polymorphisms. Genome Research. 9(8). 711–719. 50 indexed citations
20.
Basu, P. & B.C. Nandi. (1975). Analysis of cosmic ray spectrometer data by the method of least squares and m.d.m. of the spectrograph. Proceedings of the Indian Academy of Sciences - Section A. 81(5). 204–214.

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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