Padmaja A. Shenoy

526 total citations
45 papers, 299 citations indexed

About

Padmaja A. Shenoy is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology and Clinical Biochemistry. According to data from OpenAlex, Padmaja A. Shenoy has authored 45 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Public Health, Environmental and Occupational Health, 10 papers in Epidemiology and 7 papers in Clinical Biochemistry. Recurrent topics in Padmaja A. Shenoy's work include Streptococcal Infections and Treatments (11 papers), Oral microbiology and periodontitis research (7 papers) and Bacterial Identification and Susceptibility Testing (7 papers). Padmaja A. Shenoy is often cited by papers focused on Streptococcal Infections and Treatments (11 papers), Oral microbiology and periodontitis research (7 papers) and Bacterial Identification and Susceptibility Testing (7 papers). Padmaja A. Shenoy collaborates with scholars based in India, United States and United Kingdom. Padmaja A. Shenoy's co-authors include Usha Y. Nayak, Nidambur Vasudev Ballal, Kiran Chawla, P. M. H. Dummer, Reema Narayan, Shashidhar Vishwanath, Vinutha Bhat, Matthias Zehnder, Dan‐Krister Rechenberg and Yogendra Nayak and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Pharmaceutics and Journal of Endodontics.

In The Last Decade

Padmaja A. Shenoy

39 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Padmaja A. Shenoy India 10 70 49 48 44 39 45 299
Ayush Gupta India 10 19 0.3× 52 1.1× 18 0.4× 10 0.2× 24 0.6× 43 244
Renuka Verma India 9 33 0.5× 89 1.8× 39 0.8× 21 0.5× 45 1.2× 42 450
Gopa Banerjee India 9 25 0.4× 66 1.3× 66 1.4× 21 0.5× 37 0.9× 30 588
George Koukos Greece 11 88 1.3× 53 1.1× 18 0.4× 17 0.4× 36 0.9× 15 319
Syed Wali Peeran Saudi Arabia 10 54 0.8× 24 0.5× 36 0.8× 6 0.1× 26 0.7× 57 327
Louise Belfield United Kingdom 9 104 1.5× 47 1.0× 66 1.4× 8 0.2× 106 2.7× 17 659
Alessandra Marçal Agostinho United States 8 13 0.2× 26 0.5× 20 0.4× 20 0.5× 199 5.1× 12 498
Adriana Ribeiro Portugal 9 90 1.3× 27 0.6× 57 1.2× 11 0.3× 63 1.6× 20 332
Aram Mohammed Sha Iraq 9 67 1.0× 21 0.4× 61 1.3× 6 0.1× 73 1.9× 15 476
Ana Castillo Spain 14 153 2.2× 74 1.5× 100 2.1× 7 0.2× 39 1.0× 30 530

Countries citing papers authored by Padmaja A. Shenoy

Since Specialization
Citations

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

Fields of papers citing papers by Padmaja A. Shenoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Padmaja A. Shenoy. 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 Padmaja A. Shenoy. The network helps show where Padmaja A. Shenoy may publish in the future.

Co-authorship network of co-authors of Padmaja A. Shenoy

This figure shows the co-authorship network connecting the top 25 collaborators of Padmaja A. Shenoy. A scholar is included among the top collaborators of Padmaja A. Shenoy 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 Padmaja A. Shenoy. Padmaja A. Shenoy 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.
Siva, Nayanah, et al.. (2025). Reducing hospital-acquired infections in the NICU: Nurse-led quality improvement strategies. Journal of Neonatal Nursing. 31(4). 101699–101699.
2.
Shenoy, Padmaja A., et al.. (2025). Influence of perinatal antibiotic on neonatal gut microbiota: a prospective cohort study. BMC Pediatrics. 25(1). 560–560. 1 indexed citations
3.
Shenoy, Padmaja A., et al.. (2024). Case Report: Campylobacter Bacteremia in India. American Journal of Tropical Medicine and Hygiene. 111(5). 1066–1069.
4.
5.
Chawla, Kiran, Jesil Mathew Aranjani, Padmaja A. Shenoy, et al.. (2024). Exploring the effects of probiotics on olanzapine-induced metabolic syndrome through the gut microbiota. Gut Pathogens. 16(1). 77–77. 1 indexed citations
6.
Narayan, Reema, et al.. (2024). Development of levofloxacin glycosylated mesoporous silica nanoparticles for urinary tract infections. Journal of Applied Pharmaceutical Science. 1 indexed citations
7.
Siva, Nayanah, Leslie Lewis, Shruthi K. Bharadwaj, et al.. (2024). Assessment of an Antimicrobial Stewardship Program for Enhancing Clinical Knowledge in Neonatal Care Settings With High Antimicrobial Resistance. Quality Management in Health Care. 34(3). 220–227. 1 indexed citations
8.
Chandra, Prashant, et al.. (2023). Application of artificial intelligence to predict the sepsis in neonates admitted in neonatal intensive care unit. Journal of Neonatal Nursing. 30(2). 141–147. 4 indexed citations
9.
Chandra, Prashant, et al.. (2023). Neonatal outcomes associated with antimicrobial resistance: A retrospective cross-sectional study. Journal of Applied Pharmaceutical Science. 4 indexed citations
10.
Chandra, Prashant, et al.. (2023). Prediction of mortality among neonates with sepsis in the neonatal intensive care unit: A machine learning approach. Clinical Epidemiology and Global Health. 24. 101414–101414. 7 indexed citations
11.
Nayak, Veena, et al.. (2023). Can bugs be an alternative or adjuvant to drugs in schizophrenia?. Journal of Applied Pharmaceutical Science. 2 indexed citations
12.
Lewis, Leslie, et al.. (2023). Modulation of gut microbiota: An emerging consequence in neonatal sepsis. Clinical Epidemiology and Global Health. 20. 101245–101245. 7 indexed citations
13.
Chopra, Aditi, et al.. (2022). Antimicrobial, anti-adhesion, anti-biofilm properties of goji berry ( Lycium barbarum ) against periodontal bacteria: potential benefits for periodontal diseases. Journal of Complementary and Integrative Medicine. 20(1). 129–136. 2 indexed citations
14.
Jagwani, Satveer, Padmaja A. Shenoy, Kiran Jadhav, et al.. (2022). Thermoreversible gel of green tea extract: Formulation and evaluation for the management of periodontitis. Journal of Drug Delivery Science and Technology. 76. 103765–103765. 2 indexed citations
15.
Ballal, Nidambur Vasudev, et al.. (2022). Effect of Maleic Acid Root Conditioning on Release of Transforming Growth Factor Beta 1 from Infected Root Canal Dentin. Journal of Endodontics. 48(5). 620–624. 9 indexed citations
16.
Shenoy, Padmaja A., et al.. (2021). Diabetic Foot Infection with Bacteroides pyogenes. Journal of Global Infectious Diseases. 13(4). 186–188. 2 indexed citations
17.
Mukhopadhyay, Chiranjay, et al.. (2020). Correlation Between Microbiological Profiles of Adenoid Tissue and Nasal Discharge in Children with Co-existent Chronic Adenoiditis and Chronic Rhinosinusitis. Indian Journal of Otolaryngology and Head & Neck Surgery. 72(1). 112–116. 3 indexed citations
18.
Ballal, Nidambur Vasudev, et al.. (2020). Evaluation of various irrigation activation systems to eliminate bacteria from the root canal system: A randomized controlled single blinded trial. Journal of Dentistry. 99. 103412–103412. 32 indexed citations
19.
Ballal, Nidambur Vasudev, et al.. (2019). Safety assessment of an etidronate in a sodium hypochlorite solution: randomized double‐blind trial. International Endodontic Journal. 52(9). 1274–1282. 32 indexed citations
20.
Shenoy, Padmaja A., et al.. (2016). Anaerobic infections in surgical wards: a two year study.. SHILAP Revista de lepidopterología. 8(3). 181–186. 17 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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