C Ponnuraja

463 total citations
26 papers, 248 citations indexed

About

C Ponnuraja is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, C Ponnuraja has authored 26 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Infectious Diseases, 14 papers in Epidemiology and 3 papers in Surgery. Recurrent topics in C Ponnuraja's work include Tuberculosis Research and Epidemiology (15 papers), Mycobacterium research and diagnosis (6 papers) and Pneumocystis jirovecii pneumonia detection and treatment (5 papers). C Ponnuraja is often cited by papers focused on Tuberculosis Research and Epidemiology (15 papers), Mycobacterium research and diagnosis (6 papers) and Pneumocystis jirovecii pneumonia detection and treatment (5 papers). C Ponnuraja collaborates with scholars based in India, United States and Switzerland. C Ponnuraja's co-authors include Soumya Swaminathan, P. Venkatesan, Chandrasekaran Padmapriyadarsini, Pradeep A. Menon, Perumal Kannabiran Bhavani, Ranjani Ramachandran, S. Rajasekaran, Prem Venkatesan, Gopalan Narendran and Santosh Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

C Ponnuraja

23 papers receiving 230 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C Ponnuraja India 9 147 118 48 34 28 26 248
Herbert Stekel Austria 12 123 0.8× 102 0.9× 14 0.3× 73 2.1× 33 1.2× 24 368
Yuanyuan Cao China 11 46 0.3× 74 0.6× 13 0.3× 39 1.1× 10 0.4× 52 400
Fu Li China 6 114 0.8× 35 0.3× 18 0.4× 29 0.9× 9 0.3× 18 227
Suzette Oelofse South Africa 7 173 1.2× 112 0.9× 45 0.9× 28 0.8× 4 0.1× 19 230
François Bergey Netherlands 8 105 0.7× 55 0.5× 27 0.6× 43 1.3× 6 0.2× 13 267
Emilia Harding 3 173 1.2× 109 0.9× 61 1.3× 68 2.0× 4 0.1× 8 293
Epifanio Sánchez Garavito United States 5 136 0.9× 75 0.6× 36 0.8× 14 0.4× 26 0.9× 6 247
Guillermo Rodríguez-Nava United States 8 71 0.5× 70 0.6× 14 0.3× 35 1.0× 6 0.2× 29 166
Brenda Mungai Kenya 4 204 1.4× 126 1.1× 55 1.1× 58 1.7× 4 0.1× 6 298

Countries citing papers authored by C Ponnuraja

Since Specialization
Citations

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

Fields of papers citing papers by C Ponnuraja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C Ponnuraja

This figure shows the co-authorship network connecting the top 25 collaborators of C Ponnuraja. A scholar is included among the top collaborators of C Ponnuraja 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 C Ponnuraja. C Ponnuraja 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.
2.
Ponnuraja, C, et al.. (2023). An integrative machine learning framework for classifying SEER breast cancer. Scientific Reports. 13(1). 5362–5362. 33 indexed citations
3.
4.
Ponnuraja, C, et al.. (2021). Prospective study of different postures during the second stage of labour and their outcome. International Journal of Clinical Obstetrics and Gynaecology. 5(1). 234–239. 1 indexed citations
5.
Dusthackeer, Azger, Raju S Rajmani, Neerupma Bhardwaj, et al.. (2021). Discovery of a highly potent novel rifampicin analog by preparing a hybrid of the precursors of the antibiotic drugs rifampicin and clofazimine. Scientific Reports. 11(1). 1029–1029. 11 indexed citations
6.
Padmapriyadarsini, Chandrasekaran, Perumal Kannabiran Bhavani, Mohan Natrajan, et al.. (2019). Evaluation of metformin in combination with rifampicin containing antituberculosis therapy in patients with new, smear-positive pulmonary tuberculosis (METRIF): study protocol for a randomised clinical trial. BMJ Open. 9(3). e024363–e024363. 30 indexed citations
7.
Zayed, Hatem, et al.. (2018). Retinopathy of Type 1 Diabetes in Arab Countries: Systematic Review and Meta-Analysis. Ophthalmic Research. 61(3). 125–136. 2 indexed citations
8.
Ponnuraja, C, et al.. (2013). Luciferase reporter phage phAE85 for rapid detection of rifampicin resistance in clinical isolates of Mycobacterium tuberculosis. Asian Pacific Journal of Tropical Medicine. 6(9). 728–731. 3 indexed citations
9.
Selvakumar, N, et al.. (2012). Performance indicators of fluorescence microscopy for sputum samples in pulmonary tuberculosis. SHILAP Revista de lepidopterología. 1(3). 143–145. 1 indexed citations
10.
Pho, Mai T., Soumya Swaminathan, Nagalingeswaran Kumarasamy, et al.. (2012). The Cost-Effectiveness of Tuberculosis Preventive Therapy for HIV-Infected Individuals in Southern India: A Trial-Based Analysis. PLoS ONE. 7(4). e36001–e36001. 23 indexed citations
11.
Radhakrishnan, R., et al.. (2012). Assessment of panel slides prepared by phenol ammonium sulphate and NALC methods for proficiency testing. The International Journal of Tuberculosis and Lung Disease. 16(3). 394–397.
12.
Venkatesan, P., et al.. (2011). Survival analysis of women with breast cancer under adjuvant therapy in South India.. PubMed. 12(6). 1533–5. 8 indexed citations
13.
Swaminathan, Soumya, Chandrasekaran Padmapriyadarsini, P. Venkatesan, et al.. (2011). Efficacy and Safety of Once-Daily Nevirapine- or Efavirenz-Based Antiretroviral Therapy in HIV-Associated Tuberculosis: A Randomized Clinical Trial. Clinical Infectious Diseases. 53(7). 716–724. 51 indexed citations
14.
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
15.
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
16.
Hassan, Sameer, et al.. (2010). Lytic Efficiency of Mycobacteriophages. NIRT Institutional Scholarship Repository (National Institute of Research in Tuberculosis). 3. 21–28. 9 indexed citations
17.
Swaminathan, Soumya, S. Rajasekaran, Prem Venkatesan, et al.. (2008). Long term follow up of HIV-infected patients with tuberculosis treated with 6-month intermittent short course chemotherapy.. PubMed. 21(1). 3–8. 29 indexed citations
18.
Swaminathan, Soumya, et al.. (2007). Miliary tuberculosis in human immunodeficiency virus infected patients not on antiretroviral therapy: Clinical profile and response to shortcourse chemotherapy. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Sudha, G., T Santha, C Ponnuraja, et al.. (2005). Evaluation of Directly Observed Treatment providers in the revised national tuberculosis control programme. Indian Journal of Tuberculosis. 52(2). 7 indexed citations
20.
Selvakumar, N, et al.. (2005). Increased detection by restaining of acid-fast bacilli in sputum samples transported in cetylpyridinium chloride solution.. PubMed. 9(2). 195–9. 9 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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