P. Venkatesan

1.4k total citations
73 papers, 937 citations indexed

About

P. Venkatesan is a scholar working on Infectious Diseases, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, P. Venkatesan has authored 73 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Infectious Diseases, 19 papers in Epidemiology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in P. Venkatesan's work include Tuberculosis Research and Epidemiology (17 papers), Mycobacterium research and diagnosis (10 papers) and Pneumocystis jirovecii pneumonia detection and treatment (6 papers). P. Venkatesan is often cited by papers focused on Tuberculosis Research and Epidemiology (17 papers), Mycobacterium research and diagnosis (10 papers) and Pneumocystis jirovecii pneumonia detection and treatment (6 papers). P. Venkatesan collaborates with scholars based in India, United States and South Africa. P. Venkatesan's co-authors include R Prabhakar, Soumya Swaminathan, C N Paramasivan, Ranjani Ramachandran, Pradeep A. Menon, C Ponnuraja, Gopalan Narendran, G.R.K. Sarma, Narayanan Parameswaran and M. Datta and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Clinical Infectious Diseases.

In The Last Decade

P. Venkatesan

68 papers receiving 867 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. Venkatesan India 18 424 361 162 139 95 73 937
E. Susan Amirian United States 20 442 1.0× 299 0.8× 166 1.0× 189 1.4× 238 2.5× 52 1.4k
Hongbo Jiang China 18 580 1.4× 409 1.1× 128 0.8× 128 0.9× 208 2.2× 73 1.4k
Innocent T. Gangaidzo Zimbabwe 22 453 1.1× 478 1.3× 114 0.7× 43 0.3× 110 1.2× 43 1.5k
George Chandy India 22 293 0.7× 642 1.8× 363 2.2× 86 0.6× 71 0.7× 80 1.3k
Mulugeta Melku Ethiopia 24 346 0.8× 304 0.8× 83 0.5× 57 0.4× 80 0.8× 74 1.5k
Kannan Thiruvengadam India 22 758 1.8× 411 1.1× 218 1.3× 47 0.3× 94 1.0× 122 1.2k
Denise Pui Chung Chan Hong Kong 19 453 1.1× 651 1.8× 178 1.1× 30 0.2× 106 1.1× 56 1.2k
Ishmael Kasvosve United States 21 334 0.8× 221 0.6× 84 0.5× 32 0.2× 170 1.8× 70 1.2k
Catherine Cohet Belgium 20 207 0.5× 563 1.6× 238 1.5× 162 1.2× 155 1.6× 45 1.3k
Syed Faisal Mahmood Pakistan 15 601 1.4× 260 0.7× 55 0.3× 61 0.4× 145 1.5× 70 990

Countries citing papers authored by P. Venkatesan

Since Specialization
Citations

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

Fields of papers citing papers by P. Venkatesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of P. Venkatesan. A scholar is included among the top collaborators of P. Venkatesan 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. Venkatesan. P. Venkatesan 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.
Venkatesan, P., et al.. (2023). IPH2O: Island Parallel-Harris Hawks Optimizer-Based CLSTM for Stock Price Movement Prediction. Annals of Data Science. 1 indexed citations
2.
Muniyandi, Malaisamy, et al.. (2021). Bayesian structural equation modeling for post treatment health related quality of life among tuberculosis patients. PLoS ONE. 16(5). e0252205–e0252205. 2 indexed citations
3.
Mayer, Kenneth H., Timothy Flanigan, Raymond Niaura, et al.. (2017). Physician's advice on quitting smoking in HIV and TB patients in south India: a randomised clinical trial. Public Health Action. 7(1). 39–45. 11 indexed citations
4.
Venkatesan, P., et al.. (2014). Bayesian random effects model for disease mapping of relative risks. NIRT Institutional Scholarship Repository (National Institute of Research in Tuberculosis). 5(1). 23–31. 7 indexed citations
5.
Venkatesan, P., et al.. (2013). Clustering of Disease Data base using Self Organizing Maps and Logical Inferences. NIRT Institutional Scholarship Repository (National Institute of Research in Tuberculosis).
6.
Venkatesan, P.. (2013). A COMPARATIVE STUDY OF NEURAL NETWORK ARCHITECTURES FOR PREDICTING GENE EXPRESSION IN M. TUBERCULOSIS. International Journal of Pharma and Bio Sciences.
7.
Venkatesan, P., et al.. (2013). Treatment Response Classification in Randomized Clinical Trials: A Decision Tree Approach. Indian Journal of Science and Technology. 6(1). 3912–3917. 3 indexed citations
8.
Kumar, Rakesh, A. M. V. Kumar, Mareli Claassens, et al.. (2013). Number of sputum specimens during treatment follow-up of tuberculosis patients: two or one?. Public Health Action. 3(4). 304–307. 3 indexed citations
9.
Venkatesan, P., et al.. (2011). Exponentiated Exponential Models for Survival Data. Indian Journal of Science and Technology. 4(8). 923–930. 2 indexed citations
10.
Venkatesan, P., et al.. (2010). Modeling the Spatial Variogram of Tuberculosis for Chennai Ward in India. Indian Journal of Science and Technology. 3(2). 167–169. 2 indexed citations
11.
Ponnuraja, C & P. Venkatesan. (2010). Survival models for exploring tuberculosis clinical trial data-an empirical comparison. Indian Journal of Science and Technology. 3(7). 755–758. 8 indexed citations
12.
Ponnuraja, C & P. Venkatesan. (2010). Correlated Frailty Model: an Advantageous Approach for Covariate Analysis of Tuberculosis Data. Indian Journal of Science and Technology. 3(2). 151–155. 2 indexed citations
13.
Suhadev, Mohanarani, et al.. (2009). Factors Associated with Willingness to Participate in HIV Vaccine Trials among High-Risk Populations in South India. AIDS Research and Human Retroviruses. 25(2). 217–224. 28 indexed citations
14.
Venkatesan, P., et al.. (2008). Bayesian model of HIV/AIDS in India: A spatial analysis. NIRT Institutional Scholarship Repository (National Institute of Research in Tuberculosis).
15.
Venkatesan, P. & Anitha S. Pillai. (2006). Application of a radial basis function neural network for diagnosis of diabetes mellitus. Current Science. 91(9). 1195–1199. 10 indexed citations
16.
Venkatesan, P., et al.. (2004). RAPD markers and microsatellites for detecting genetic polymorphism in six isolates of Heterodera zeae from India.. Annals of Plant Protection Sciences. 12(1). 110–114. 2 indexed citations
17.
Venkatesan, P., et al.. (2004). Isozyme, RAPD and Microsatellite Markers as Quick Diagnostic of Four Heterodera Species. Annals of Plant Protection Sciences. 12(1). 99–105. 1 indexed citations
18.
Hanna, Luke Elizabeth, et al.. (2004). HIV Alters Plasma and M. tuberculosis -induced Cytokine Production in Patients with Tuberculosis. Journal of Interferon & Cytokine Research. 24(2). 101–106. 22 indexed citations
19.
Venkatesan, P., et al.. (2002). Cytogenetic studies on spray painters in south India. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 514(1-2). 1–6. 9 indexed citations
20.
Venkatesan, P., et al.. (1994). Effect of haptoglobin on haemoglobin-supported growth and siderophore production of mycobacteria. Medical science research. 22(2). 99–100. 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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