Pradeep Kumar Yadalam

713 total citations
93 papers, 370 citations indexed

About

Pradeep Kumar Yadalam is a scholar working on Periodontics, Molecular Biology and Oral Surgery. According to data from OpenAlex, Pradeep Kumar Yadalam has authored 93 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Periodontics, 30 papers in Molecular Biology and 21 papers in Oral Surgery. Recurrent topics in Pradeep Kumar Yadalam's work include Oral microbiology and periodontitis research (26 papers), Dental Radiography and Imaging (11 papers) and Oral Health Pathology and Treatment (9 papers). Pradeep Kumar Yadalam is often cited by papers focused on Oral microbiology and periodontitis research (26 papers), Dental Radiography and Imaging (11 papers) and Oral Health Pathology and Treatment (9 papers). Pradeep Kumar Yadalam collaborates with scholars based in India, Saudi Arabia and Colombia. Pradeep Kumar Yadalam's co-authors include Shankargouda Patil, Deepavalli Arumuganainar, Carlos M. Ardila, Prabhu Manickam Natarajan, Shilpa Bhandi, A. Thirumal Raj, Artak Heboyan, Giuseppe Minervini, Almir Badnjević and Gabriele Cervino and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Pradeep Kumar Yadalam

76 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pradeep Kumar Yadalam India 10 97 85 57 35 29 93 370
Thodur Madapusi Balaji India 13 147 1.5× 77 0.9× 97 1.7× 26 0.7× 23 0.8× 53 474
Akhilesh Chandra India 9 96 1.0× 67 0.8× 91 1.6× 22 0.6× 19 0.7× 27 389
Ramya Ramadoss India 9 72 0.7× 55 0.6× 48 0.8× 63 1.8× 26 0.9× 91 319
Ramandeep Singh Narang India 13 38 0.4× 166 2.0× 110 1.9× 28 0.8× 23 0.8× 40 569
Rajesh Ramachandran India 9 42 0.4× 85 1.0× 24 0.4× 14 0.4× 5 0.2× 19 314
Mônica Andrade Lotufo Brazil 7 25 0.3× 55 0.6× 59 1.0× 54 1.5× 39 1.3× 13 303
Anuja Natesan India 13 132 1.4× 137 1.6× 210 3.7× 24 0.7× 32 1.1× 29 623
Swati Patel India 14 262 2.7× 119 1.4× 38 0.7× 6 0.2× 27 0.9× 22 531
Anupong Makeudom Thailand 11 126 1.3× 116 1.4× 19 0.3× 20 0.6× 12 0.4× 32 328
Zheng Sun China 15 183 1.9× 242 2.8× 58 1.0× 12 0.3× 42 1.4× 27 589

Countries citing papers authored by Pradeep Kumar Yadalam

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Kumar Yadalam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pradeep Kumar Yadalam. 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 Pradeep Kumar Yadalam. The network helps show where Pradeep Kumar Yadalam may publish in the future.

Co-authorship network of co-authors of Pradeep Kumar Yadalam

This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep Kumar Yadalam. A scholar is included among the top collaborators of Pradeep Kumar Yadalam 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 Pradeep Kumar Yadalam. Pradeep Kumar Yadalam 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.
Yadalam, Pradeep Kumar & Carlos M. Ardila. (2025). Enhanced hierarchical attention networks for predictive interactome analysis of LncRNA and CircRNA in oral herpes virus. Journal of Oral Biology and Craniofacial Research. 15(3). 445–453.
2.
Yadalam, Pradeep Kumar, Deepavalli Arumuganainar, Prabhu Manickam Natarajan, & Carlos M. Ardila. (2025). Artificial intelligence-powered prediction of AIM-2 inflammasome sequences using transformers and graph attention networks in periodontal inflammation. Scientific Reports. 15(1). 8733–8733. 5 indexed citations
3.
Yadalam, Pradeep Kumar, Deepavalli Arumuganainar, Prabhu Manickam Natarajan, & Carlos M. Ardila. (2025). Predicting the hub interactome of COVID-19 and oral squamous cell carcinoma: uncovering ALDH-mediated Wnt/β-catenin pathway activation via salivary inflammatory proteins. Scientific Reports. 15(1). 4068–4068. 3 indexed citations
4.
Yadalam, Pradeep Kumar, et al.. (2025). Prediction of interactome hub genes in oral cancer and chronic inflammatory periodontitis. Dental and Medical Problems. 62(6). 1099–1108.
5.
Yadalam, Pradeep Kumar, et al.. (2025). Neural Networks for Predicting and Classifying Antimicrobial Resistance Sequences in Porphyromonas gingivalis. International Dental Journal. 75(5). 100890–100890. 1 indexed citations
6.
Yadalam, Pradeep Kumar, et al.. (2025). Kolmogorov-Arnold networks for predicting drug-gene associations of HDAC1 inhibitors in periodontitis. Computational Biology and Chemistry. 118. 108451–108451. 1 indexed citations
7.
Kamath, S. Sowmya, et al.. (2025). Gradient boosting based prediction of gender based on gonial angle measurements. Journal of Oral and Maxillofacial Surgery Medicine and Pathology. 37(5). 921–928.
8.
Arumugam, P, et al.. (2025). Innovative Hydroxyapatite-Coated Titania Nanotubes for Dental Implant Surface Enhancement. Journal of Clinical and Experimental Dentistry. 17(6). e695–e704.
9.
Yadalam, Pradeep Kumar, et al.. (2024). Interactions of Acetyl-11-Keto-Beta-Boswellic Acid on Catechol-O-Methyltransferase in the Management of Masticatory Myofascial Pain Syndrome. Cureus. 16(8). e68300–e68300. 1 indexed citations
10.
Yadalam, Pradeep Kumar, et al.. (2024). Weighted Gene Co-expression Network Analysis of the Inflammatory Wnt Signaling Reveals Biomarkers Related to Bone Formation. Cureus. 16(6). e63510–e63510. 1 indexed citations
11.
Yadalam, Pradeep Kumar, et al.. (2024). Graph Neural Networks-Based Prediction of Drug Gene Interactions of RTK-VEGF4 Receptor Family in Periodontal Regeneration. Journal of Clinical and Experimental Dentistry. 16(12). e1454–e1458. 2 indexed citations
12.
Ramalingam, Karthikeyan, Pradeep Kumar Yadalam, Pratibha Ramani, et al.. (2024). Light gradient boosting-based prediction of quality of life among oral cancer-treated patients. BMC Oral Health. 24(1). 349–349. 28 indexed citations
13.
Yadalam, Pradeep Kumar, et al.. (2024). Variational Approaches for Drug-Disease-Gene Links in Periodontal Inflammation. International Dental Journal. 75(1). 185–194. 2 indexed citations
14.
Yadalam, Pradeep Kumar, et al.. (2023). CRISPR-Cas-Based Adaptive Immunity Mediates Phage Resistance in Periodontal Red Complex Pathogens. Microorganisms. 11(8). 2060–2060. 6 indexed citations
15.
16.
17.
Yadalam, Pradeep Kumar, et al.. (2023). Pre-Trained Language Models Based Sequence Prediction of Wnt-Sclerostin Protein Sequences in Alveolar Bone Formation. 12(3). 55–60. 2 indexed citations
18.
Yadalam, Pradeep Kumar, Ramya Ramadoss, Sindhu Ramesh, et al.. (2023). Designing Novel Multi-Epitope Vaccine Construct against Prevotella intermedia-Interpain A: An Immunoinformatics Approach. Medicina. 59(2). 302–302. 5 indexed citations
19.
Augustine, Dominic, et al.. (2022). Subepithelial Hyalinisation Predicts Recurrence of Unicystic Ameloblastomas. Diagnostics. 12(3). 756–756.
20.
Yadalam, Pradeep Kumar, et al.. (2022). Machine Learning Predicts Patient Tangible Outcomes After Dental Implant Surgery. IEEE Access. 10. 131481–131488. 15 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Thodur Madapusi Balaji Breakdown of academic impact, for papers by Akhilesh Chandra Breakdown of academic impact, for papers by Ramya Ramadoss Breakdown of academic impact, for papers by Ramandeep Singh Narang Breakdown of academic impact, for papers by Rajesh Ramachandran Breakdown of academic impact, for papers by Mônica Andrade Lotufo Breakdown of academic impact, for papers by Anuja Natesan Breakdown of academic impact, for papers by Swati Patel Breakdown of academic impact, for papers by Anupong Makeudom Breakdown of academic impact, for papers by Zheng Sun
Rankless by CCL
2026