Anudeep Puvvula

779 total citations
10 papers, 200 citations indexed

About

Anudeep Puvvula is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Anudeep Puvvula has authored 10 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 6 papers in Pulmonary and Respiratory Medicine and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Anudeep Puvvula's work include Cardiovascular Health and Disease Prevention (6 papers), Cerebrovascular and Carotid Artery Diseases (5 papers) and Cardiovascular Function and Risk Factors (3 papers). Anudeep Puvvula is often cited by papers focused on Cardiovascular Health and Disease Prevention (6 papers), Cerebrovascular and Carotid Artery Diseases (5 papers) and Cardiovascular Function and Risk Factors (3 papers). Anudeep Puvvula collaborates with scholars based in India, United States and Italy. Anudeep Puvvula's co-authors include Jasjit S. Suri, Narendra N. Khanna, George D. Kitas, John R. Laird, Klaudija Višković, Luca Saba, Vijay Viswanathan, Ankush D. Jamthikar, Sophie Mavrogeni and Luca Saba and has published in prestigious journals such as Computers in Biology and Medicine, IEEE Journal of Biomedical and Health Informatics and World Journal of Diabetes.

In The Last Decade

Anudeep Puvvula

10 papers receiving 198 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anudeep Puvvula India 9 85 73 70 31 27 10 200
A Giannopoulos United Kingdom 8 200 2.4× 219 3.0× 106 1.5× 38 1.2× 81 3.0× 16 350
Donghwan Yun South Korea 10 61 0.7× 42 0.6× 23 0.3× 13 0.4× 17 0.6× 34 225
Ilke Ӧzcan United States 9 164 1.9× 38 0.5× 110 1.6× 24 0.8× 28 1.0× 31 280
Tom Hendriks Netherlands 12 141 1.7× 65 0.9× 48 0.7× 23 0.7× 81 3.0× 24 300
Annamária Kosztin Hungary 12 414 4.9× 80 1.1× 41 0.6× 13 0.4× 35 1.3× 51 500
Victor Roth Cardoso United Kingdom 10 225 2.6× 17 0.2× 26 0.4× 19 0.6× 40 1.5× 16 401
Nick Lasse Beetz Germany 11 33 0.4× 121 1.7× 111 1.6× 33 1.1× 12 0.4× 29 311
Fnu Sapna United States 8 61 0.7× 16 0.2× 22 0.3× 21 0.7× 16 0.6× 21 221
Roxana Iacob Romania 11 14 0.2× 60 0.8× 68 1.0× 20 0.6× 37 1.4× 32 243
Vishesh Kumar United States 8 63 0.7× 27 0.4× 17 0.2× 69 2.2× 30 1.1× 32 257

Countries citing papers authored by Anudeep Puvvula

Since Specialization
Citations

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

Fields of papers citing papers by Anudeep Puvvula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anudeep Puvvula

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

All Works

10 of 10 papers shown
1.
Saba, Luca, Mahesh Maindarkar, Narendra N. Khanna, et al.. (2024). An Artificial Intelligence-Based Non-Invasive Approach for Cardiovascular Disease Risk Stratification in Obstructive Sleep Apnea Patients: A Narrative Review. Reviews in Cardiovascular Medicine. 25(12). 463–463. 2 indexed citations
2.
Suri, Jasjit S., Sudip Paul, Mahesh Maindarkar, et al.. (2022). Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review. Metabolites. 12(4). 312–312. 26 indexed citations
3.
Suri, Jasjit S., Sushant Agarwal, Suneet Gupta, et al.. (2021). Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective. IEEE Journal of Biomedical and Health Informatics. 25(11). 4128–4139. 33 indexed citations
4.
Viswanathan, Vijay, Anudeep Puvvula, Ankush D. Jamthikar, et al.. (2021). Bidirectional link between diabetes mellitus and coronavirus disease 2019 leading to cardiovascular disease: A narrative review. World Journal of Diabetes. 12(3). 215–237. 24 indexed citations
5.
Puvvula, Anudeep, Ankush D. Jamthikar, Deep Gupta, et al.. (2020). Morphological Carotid Plaque Area Is Associated With Glomerular Filtration Rate: A Study of South Asian Indian Patients With Diabetes and Chronic Kidney Disease. Angiology. 71(6). 520–535. 20 indexed citations
6.
Viswanathan, Vijay, Ankush D. Jamthikar, Deep Gupta, et al.. (2020). Does the Carotid Bulb Offer a Better 10-Year CVD/Stroke Risk Assessment Compared to the Common Carotid Artery? A 1516 Ultrasound Scan Study. Angiology. 71(10). 920–933. 13 indexed citations
7.
Jamthikar, Ankush D., Deep Gupta, Anudeep Puvvula, et al.. (2020). Cardiovascular risk assessment in patients with rheumatoid arthritis using carotid ultrasound B-mode imaging. Rheumatology International. 40(12). 1921–1939. 29 indexed citations
8.
9.
Viswanathan, Vijay, Ankush D. Jamthikar, Deep Gupta, et al.. (2020). Integration of estimated glomerular filtration rate biomarker in image-based cardiovascular disease/stroke risk calculator: a south Asian-Indian diabetes cohort with moderate chronic kidney disease. International Angiology. 39(4). 290–306. 14 indexed citations
10.
Cuadrado‐Godia, Elisa, Md. Maniruzzaman, Tadashi Araki, et al.. (2018). Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort. Computers in Biology and Medicine. 101. 128–145. 24 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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