Vibhu Agarwal

440 total citations
12 papers, 279 citations indexed

About

Vibhu Agarwal is a scholar working on Pharmacology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Vibhu Agarwal has authored 12 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pharmacology, 3 papers in Epidemiology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Vibhu Agarwal's work include Musculoskeletal pain and rehabilitation (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Machine Learning in Healthcare (2 papers). Vibhu Agarwal is often cited by papers focused on Musculoskeletal pain and rehabilitation (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Machine Learning in Healthcare (2 papers). Vibhu Agarwal collaborates with scholars based in United States and Canada. Vibhu Agarwal's co-authors include Nigam H. Shah, Matthew Smuck, Jeannie F. Bailey, Evan Minty, Juan M. Banda, Veena Goel, Tiffany I. Leung, Tanya Podchiyska, Timothy E. Sweeney and Jeffrey Krauss and has published in prestigious journals such as Blood, Science Advances and Journal of Medical Internet Research.

In The Last Decade

Vibhu Agarwal

12 papers receiving 272 citations

Peers

Vibhu Agarwal

PHEOH

PHARM

GHP

Andrey Kormilitzin United Kingdom

Mark Damesyn United States

José Ferrão United Kingdom

Luca Cattelani Italy

Hiral Soni United States

Henry T Blake Australia

Belma Muhamedagić Bosnia and Herzegovina

Chiara Garattini United Kingdom

Jordan Richardson United States

Alejandro García‐Rudolph Spain

Andrey Kormilitzin United Kingdom

Vibhu Agarwal

143 ×1.9

24 ×0.4

PHEOH

16 ×0.3

PHARM

29 ×0.6

16 ×0.4

GHP

Citations per year, relative to Vibhu Agarwal Vibhu Agarwal (= 1×) peers Andrey Kormilitzin

Countries citing papers authored by Vibhu Agarwal

Since Specialization

Citations

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

Fields of papers citing papers by Vibhu Agarwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vibhu Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Vibhu Agarwal. A scholar is included among the top collaborators of Vibhu Agarwal 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 Vibhu Agarwal. Vibhu Agarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Blumentals, William A., Weixi Chen, Chao Sang, et al.. (2023). Significant Cytokine Release Syndrome Risk Model with T-Cell Engaging Therapies. Blood. 142(Supplement 1). 3629–3629. 1 indexed citations

Barsan, Valentin, Yuntao Xia, Veronica Gonzalez-Pena, et al.. (2022). Simultaneous monitoring of disease and microbe dynamics through plasma DNA sequencing in pediatric patients with acute lymphoblastic leukemia. Science Advances. 8(16). eabj1360–eabj1360. 2 indexed citations

Ballatori, Alexander M., Shane Shahrestani, Vibhu Agarwal, et al.. (2022). Influence of patient‐specific factors when comparing multifidus fat infiltration between chronic low back pain patients and asymptomatic controls. JOR Spine. 5(4). e1217–e1217. 5 indexed citations

Bailey, Jeannie F., Vibhu Agarwal, Patricia Zheng, et al.. (2020). Digital Care for Chronic Musculoskeletal Pain: 10,000 Participant Longitudinal Cohort Study. Journal of Medical Internet Research. 22(5). e18250–e18250. 70 indexed citations

Bailey, Jeannie F., Vibhu Agarwal, & Jeffrey Krauss. (2020). Digital Care for Chronic Musculoskeletal Pain: A 10,000 User Longitudinal Study Demonstrating Efficacy and Scalability. SSRN Electronic Journal. 1 indexed citations

Agarwal, Vibhu, Matthew Smuck, Christy Tomkins‐Lane, & Nigam H. Shah. (2018). Inferring Physical Function From Wearable Activity Monitors: Analysis of Free-Living Activity Data From Patients With Knee Osteoarthritis. JMIR mhealth and uhealth. 6(12). e11315–e11315. 11 indexed citations

Agarwal, Vibhu, Matthew Smuck, & Nigam H. Shah. (2017). Quantifying the relative change in physical activity after Total Knee Arthroplasty using accelerometer based measurements.. PubMed. 2017. 463–472. 7 indexed citations

Agarwal, Vibhu, et al.. (2016). Impact of Predicting Health Care Utilization Via Web Search Behavior: A Data-Driven Analysis. Journal of Medical Internet Research. 18(9). e251–e251. 32 indexed citations

Agarwal, Vibhu, et al.. (2016). Spiritual Care Therapy on Quality of Life in Cancer Patients and Their Caregivers: A Prospective Non-randomized Single-Cohort Study. Journal of Religion and Health. 56(2). 725–731. 49 indexed citations

10.

Agarwal, Vibhu & Nigam H. Shah. (2016). LEARNING ATTRIBUTES OF DISEASE PROGRESSION FROM TRAJECTORIES OF SPARSE LAB VALUES. PubMed. 22. 184–194. 3 indexed citations

11.

Agarwal, Vibhu, Tanya Podchiyska, Juan M. Banda, et al.. (2016). Learning statistical models of phenotypes using noisy labeled training data. Journal of the American Medical Informatics Association. 23(6). 1166–1173. 96 indexed citations

12.

Agarwal, Vibhu, et al.. (2016). Predicting hospital visits from geo-tagged Internet search logs.. PubMed. 2016. 15–24. 2 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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