P. Manimaran

735 total citations
30 papers, 533 citations indexed

About

P. Manimaran is a scholar working on Molecular Biology, Economics and Econometrics and Statistical and Nonlinear Physics. According to data from OpenAlex, P. Manimaran has authored 30 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Economics and Econometrics and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in P. Manimaran's work include Complex Systems and Time Series Analysis (15 papers), Bioinformatics and Genomic Networks (9 papers) and Chaos control and synchronization (8 papers). P. Manimaran is often cited by papers focused on Complex Systems and Time Series Analysis (15 papers), Bioinformatics and Genomic Networks (9 papers) and Chaos control and synchronization (8 papers). P. Manimaran collaborates with scholars based in India, United States and South Africa. P. Manimaran's co-authors include Jitendra C. Parikh, Prasanta K. Panigrahi, Mayukha Pal, Prasanta K. Panigrahi, Shekhar C. Mande, S. B. Rao, A.C. Narayana, Arman Shafieloo, Tarun Souradeep and Raghavan Rangarajan and has published in prestigious journals such as PLoS ONE, Proteins Structure Function and Bioinformatics and PLoS Computational Biology.

In The Last Decade

P. Manimaran

27 papers receiving 518 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. Manimaran India 14 264 167 118 100 50 30 533
Iacopo Mastromatteo France 8 222 0.8× 105 0.6× 42 0.4× 206 2.1× 12 0.2× 23 495
Grzegorz Sikora Poland 15 188 0.7× 147 0.9× 188 1.6× 90 0.9× 3 0.1× 45 609
Srimonti Dutta India 14 377 1.4× 124 0.7× 215 1.8× 82 0.8× 4 0.1× 42 542
Vicente J. Bolós Spain 10 173 0.7× 20 0.1× 52 0.4× 68 0.7× 49 1.0× 27 417
Camilo Rodrigues Neto Brazil 11 127 0.5× 32 0.2× 101 0.9× 18 0.2× 40 0.8× 36 373
Thomas Schürmann Germany 6 41 0.2× 66 0.4× 94 0.8× 7 0.1× 16 0.3× 10 315
Xili Zhang China 17 165 0.6× 27 0.2× 69 0.6× 263 2.6× 6 0.1× 58 651
Paweł Oświȩcimka Poland 17 1.1k 4.0× 152 0.9× 486 4.1× 397 4.0× 7 0.1× 41 1.3k
Laura C. Carpi Brazil 13 253 1.0× 115 0.7× 322 2.7× 16 0.2× 4 0.1× 18 605
Grace Chan Australia 6 112 0.4× 30 0.2× 58 0.5× 94 0.9× 6 0.1× 8 404

Countries citing papers authored by P. Manimaran

Since Specialization
Citations

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

Fields of papers citing papers by P. Manimaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of P. Manimaran. A scholar is included among the top collaborators of P. Manimaran 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. Manimaran. P. Manimaran 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.
Manimaran, P., et al.. (2024). Prioritizing cervical cancer candidate genes using chaos game and fractal-based time series approach. Theory in Biosciences. 143(3). 183–193. 1 indexed citations
2.
Manimaran, P., et al.. (2023). Simplicial network analysis on EEG signals. Physica A Statistical Mechanics and its Applications. 630. 129230–129230. 5 indexed citations
3.
Das, Abhishek, et al.. (2023). Identification of key molecular players and associated pathways in cervical squamous cell carcinoma progression through network analysis. Proteins Structure Function and Bioinformatics. 91(8). 1173–1187. 5 indexed citations
4.
Sharma, Hemant, et al.. (2022). Fractal and multifractal analysis on fused silica glass formed by bound abrasive grain mediated grinding using diamond grits. Journal of Non-Crystalline Solids. 581. 121418–121418. 6 indexed citations
5.
Manimaran, P., et al.. (2021). A graph centrality-based approach for candidate gene prediction for type 1 diabetes. Immunologic Research. 69(5). 422–428.
6.
Pal, Mayukha, et al.. (2021). Multifractal and cross-correlation analysis on mitochondrial genome sequences using chaos game representation. Mitochondrion. 60. 121–128. 6 indexed citations
7.
Manimaran, P., et al.. (2021). Prioritizing the candidate genes related to cervical cancer using the moment of inertia tensor. Proteins Structure Function and Bioinformatics. 90(2). 363–371.
8.
Mangrauthia, Satendra K., P. Manimaran, Poli Yugandhar, et al.. (2020). PAP90, a novel rice protein plays a critical role in regulation of D1 protein stability of PSII. Journal of Advanced Research. 30. 197–211. 8 indexed citations
9.
Manimaran, P., et al.. (2020). Multifractal analysis of Indian public sector enterprises. Physica A Statistical Mechanics and its Applications. 557. 124881–124881. 5 indexed citations
10.
Manimaran, P. & A.C. Narayana. (2018). Multifractal detrended cross-correlation analysis on air pollutants of University of Hyderabad Campus, India. Physica A Statistical Mechanics and its Applications. 502. 228–235. 30 indexed citations
11.
Pal, Mayukha, et al.. (2015). Multifractal detrended cross-correlation analysis of coding and non-coding DNA sequences through chaos-game representation. Physica A Statistical Mechanics and its Applications. 436. 596–603. 25 indexed citations
12.
Rao, S. B., et al.. (2014). The prediction of candidate genes for cervix related cancer through gene ontology and graph theoretical approach. Molecular BioSystems. 10(6). 1450–1460. 19 indexed citations
13.
Pal, Mayukha, et al.. (2014). Multifractal detrended cross-correlation analysis on gold, crude oil and foreign exchange rate time series. Physica A Statistical Mechanics and its Applications. 416. 452–460. 76 indexed citations
14.
Rao, S. B., et al.. (2013). Identification of synthetic lethal pairs in biological systems through network information centrality. Molecular BioSystems. 9(8). 2163–2167. 24 indexed citations
15.
Manimaran, P., et al.. (2013). Candidate Gene Identification for Systemic Lupus Erythematosus Using Network Centrality Measures and Gene Ontology. PLoS ONE. 8(12). e81766–e81766. 18 indexed citations
16.
Manimaran, P. & Prasanta K. Panigrahi. (2010). Statistics of event by event fluctuations. Physica A Statistical Mechanics and its Applications. 389(18). 3703–3710. 2 indexed citations
17.
Manimaran, P., et al.. (2009). Prediction of conditional gene essentiality through graph theoretical analysis of genome-wide functional linkages. Molecular BioSystems. 5(12). 1936–1942. 20 indexed citations
18.
Manimaran, P., et al.. (2008). Dynamic Changes in Protein Functional Linkage Networks Revealed by Integration with Gene Expression Data. PLoS Computational Biology. 4(11). e1000237–e1000237. 30 indexed citations
19.
Manimaran, P., Prasanta K. Panigrahi, & Jitendra C. Parikh. (2006). Multiresolution analysis of fluctuations in non-stationary time series. arXiv (Cornell University). 1 indexed citations
20.
Manimaran, P., Prasanta K. Panigrahi, & Jitendra C. Parikh. (2005). Wavelet analysis and scaling properties of time series. Physical Review E. 72(4). 46120–46120. 62 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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