Priya Radhakrishnan

830 total citations
36 papers, 587 citations indexed

About

Priya Radhakrishnan is a scholar working on Artificial Intelligence, General Health Professions and Information Systems. According to data from OpenAlex, Priya Radhakrishnan has authored 36 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in General Health Professions and 6 papers in Information Systems. Recurrent topics in Priya Radhakrishnan's work include Topic Modeling (10 papers), Natural Language Processing Techniques (5 papers) and Web Data Mining and Analysis (4 papers). Priya Radhakrishnan is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (5 papers) and Web Data Mining and Analysis (4 papers). Priya Radhakrishnan collaborates with scholars based in United States, India and United Kingdom. Priya Radhakrishnan's co-authors include Jeremy J. Mao, Claire M. Smith, K.X. Hu, Robert A. Hirst, Gwyneth Williams, Andrew J. Easton, Peter W. Andrew, Vasudeva Varma, Partha Talukdar and Sara M. Sandrini and has published in prestigious journals such as Annals of Internal Medicine, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Priya Radhakrishnan

34 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Priya Radhakrishnan United States 11 180 105 101 88 80 36 587
Julie Boisclair Switzerland 13 135 0.8× 95 0.9× 116 1.1× 116 1.3× 54 0.7× 18 681
Nicola di Meo Italy 18 347 1.9× 65 0.6× 121 1.2× 67 0.8× 65 0.8× 117 1.1k
Skaidra Valiukevičienė Lithuania 16 177 1.0× 34 0.3× 74 0.7× 78 0.9× 33 0.4× 64 740
M. Samimi France 20 209 1.2× 128 1.2× 93 0.9× 191 2.2× 121 1.5× 107 1.4k
F. Müller Denmark 16 113 0.6× 41 0.4× 83 0.8× 120 1.4× 61 0.8× 90 852
Amanda R. Taylor United States 15 101 0.6× 68 0.6× 122 1.2× 191 2.2× 24 0.3× 44 794
Eliane Pedra Dias Brazil 18 128 0.7× 82 0.8× 80 0.8× 138 1.6× 71 0.9× 90 963
Cristián Navarrete‐Dechent Chile 20 715 4.0× 110 1.0× 96 1.0× 156 1.8× 40 0.5× 143 1.4k
Linda Tognetti Italy 18 350 1.9× 39 0.4× 91 0.9× 79 0.9× 45 0.6× 112 1.0k
Shuizi Ding China 11 127 0.7× 91 0.9× 112 1.1× 27 0.3× 15 0.2× 18 443

Countries citing papers authored by Priya Radhakrishnan

Since Specialization
Citations

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

Fields of papers citing papers by Priya Radhakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priya Radhakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Priya Radhakrishnan. A scholar is included among the top collaborators of Priya Radhakrishnan 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 Priya Radhakrishnan. Priya Radhakrishnan 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.
Hilden, David, et al.. (2025). Bolstering the Medication Supply Chain and Ameliorating Medication Shortages: A Position Paper From the American College of Physicians. Annals of Internal Medicine. 178(10). 1464–1468. 1 indexed citations
3.
Sall, Dana, et al.. (2023). Racial, Ethnic, and Socioeconomic Differences in Primary Care No-Show Risk with Telemedicine During the COVID-19 Pandemic. Journal of General Internal Medicine. 38(12). 2734–2741. 3 indexed citations
4.
Urban, Katelyn, et al.. (2021). Identifying State-Wide Health Disparities in Diabetes Mellitus Management in Arizona: Review of Healthy People 2020 Performance. Cureus. 13(1). e12993–e12993. 1 indexed citations
5.
Shah, Dania Aijaz, et al.. (2021). Cutaneous and Pulmonary Manifestations: COVID-19 Virus or Coccidioidomycosis?. Cureus. 13(5). e15060–e15060. 4 indexed citations
6.
Lee, Dani Do Hyang, Daniela Cardinale, Priya Radhakrishnan, et al.. (2020). Fluticasone Particles Bind to Motile Respiratory Cilia: A Mechanism for Enhanced Lung and Systemic Exposure?. Journal of Aerosol Medicine and Pulmonary Drug Delivery. 34(3). 181–188. 2 indexed citations
7.
Radhakrishnan, Priya, et al.. (2019). CIQ@FIRE. 1–3. 1 indexed citations
8.
Eno, Cassie A., et al.. (2018). Deferred Personal Life Decisions of Women Physicians. Journal of Women s Health. 27(5). 584–589. 32 indexed citations
9.
Radhakrishnan, Priya, Ganesh Jawahar, Manish Gupta, & Vasudeva Varma. (2018). SNEIT: Salient Named Entity Identification in Tweets. Computación y Sistemas. 21(4). 1 indexed citations
10.
Radhakrishnan, Priya. (2018). Named Entity Extraction for Knowledgebase Enhancement. ACM SIGIR Forum. 52(1). 169–170. 2 indexed citations
11.
Radhakrishnan, Priya, et al.. (2017). Enhancing Categorization of Computer Science Research Papers using Knowledge Bases.. International ACM SIGIR Conference on Research and Development in Information Retrieval. 38–42. 2 indexed citations
12.
Smith, Claire M., Priya Radhakrishnan, Craig Winstanley, et al.. (2015). Bacteriophage Delivery by Nebulization and Efficacy Against Phenotypically Diverse Pseudomonas aeruginosa from Cystic Fibrosis Patients. Journal of Aerosol Medicine and Pulmonary Drug Delivery. 28(5). 353–360. 40 indexed citations
13.
Radhakrishnan, Priya, et al.. (2014). Linking Entities in #Microposts. 71–72. 1 indexed citations
14.
Tan, I‐Li, Priya Radhakrishnan, Robert A. Hirst, et al.. (2014). RHPS4 G-Quadruplex Ligand Induces Anti-Proliferative Effects in Brain Tumor Cells. PLoS ONE. 9(1). e86187–e86187. 25 indexed citations
15.
Smith, Claire M., Sara M. Sandrini, Sumit Datta, et al.. (2014). Respiratory Syncytial Virus Increases the Virulence of Streptococcus pneumoniae by Binding to Penicillin Binding Protein 1a. A New Paradigm in Respiratory Infection. American Journal of Respiratory and Critical Care Medicine. 190(2). 196–207. 112 indexed citations
16.
Smith, Claire M., et al.. (2013). The effect of ethanol and acetaldehyde on brain ependymal and respiratory ciliary beat frequency. PubMed. 2(1). 5–5. 8 indexed citations
17.
Smith, Claire M., Hemant Kulkarni, Priya Radhakrishnan, et al.. (2013). Ciliary dyskinesia is an early feature of respiratory syncytial virus infection. European Respiratory Journal. 43(2). 485–496. 76 indexed citations
18.
Kapoor, Prashant, Ekta Singh, Priya Radhakrishnan, & Paulette Mehta. (2006). Splenectomy in plasma cell dyscrasias: A review of the clinical practice. American Journal of Hematology. 81(12). 946–954. 10 indexed citations
19.
Radhakrishnan, Priya, et al.. (2004). Zone-Specific Micromechanical Properties of the Extracellular Matrices of Growth Plate Cartilage. Annals of Biomedical Engineering. 32(2). 284–291. 54 indexed citations
20.
Hu, K.X., et al.. (2001). Regional Structural and Viscoelastic Properties of Fibrocartilage upon Dynamic Nanoindentation of the Articular Condyle. Journal of Structural Biology. 136(1). 46–52. 87 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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