Girish Dwivedi

7.0k total citations · 2 hit papers
249 papers, 4.2k citations indexed

About

Girish Dwivedi is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Girish Dwivedi has authored 249 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Cardiology and Cardiovascular Medicine, 94 papers in Radiology, Nuclear Medicine and Imaging and 55 papers in Surgery. Recurrent topics in Girish Dwivedi's work include Cardiac Imaging and Diagnostics (81 papers), Cardiovascular Function and Risk Factors (32 papers) and Coronary Interventions and Diagnostics (18 papers). Girish Dwivedi is often cited by papers focused on Cardiac Imaging and Diagnostics (81 papers), Cardiovascular Function and Risk Factors (32 papers) and Coronary Interventions and Diagnostics (18 papers). Girish Dwivedi collaborates with scholars based in Australia, Canada and United Kingdom. Girish Dwivedi's co-authors include Mohammed Bennamoun, Roxy Senior, Gregory Y.H. Lip, Benjamin J.W. Chow, Tiong K. Lim, Frank Sanfilippo, Mehmood Butt, Jonathon Stewart, Robert Beanlands and Omer Khair and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Girish Dwivedi

228 papers receiving 4.1k citations

Hit Papers

2 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Role of inflammation in the pathogenesis of atherosclerosis and therapeutic interventions

2018 339 citations Girish Dwivedi et al. profile →
Training Spiking Neural Networks Using Lessons From Deep Learning

2023 297 citations Girish Dwivedi, Mohammed Bennamoun et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Girish Dwivedi Australia	33	1.8k	1.0k	617	467	465	249	4.2k
Hidekazu Tanaka Japan	30	2.9k 1.6×	848 0.8×	588 1.0×	321 0.7×	353 0.8×	281	4.0k
Chayakrit Krittanawong United States	29	1.2k 0.6×	510 0.5×	506 0.8×	255 0.5×	400 0.9×	191	3.7k
Katerina Κ. Naka Greece	33	2.1k 1.1×	637 0.6×	1.1k 1.8×	299 0.6×	201 0.4×	192	4.2k
Wei Gong China	18	1.1k 0.6×	503 0.5×	412 0.7×	220 0.5×	388 0.8×	84	4.4k
Rahul C. Deo United States	30	2.2k 1.2×	1.1k 1.1×	839 1.4×	493 1.1×	759 1.6×	61	7.3k
Takeshi Kitai Japan	28	2.0k 1.1×	378 0.4×	809 1.3×	888 1.9×	654 1.4×	208	4.7k
Myeong‐Chan Cho South Korea	40	4.4k 2.4×	1.1k 1.1×	1.7k 2.8×	258 0.6×	351 0.8×	329	6.2k
Nicola De Luca Italy	37	3.2k 1.7×	535 0.5×	732 1.2×	340 0.7×	172 0.4×	218	4.6k
Elad Maor Israel	32	1.6k 0.9×	440 0.4×	562 0.9×	218 0.5×	452 1.0×	172	3.4k
Christopher Fry United Kingdom	46	1.7k 0.9×	269 0.3×	1.2k 1.9×	613 1.3×	816 1.8×	287	7.1k

Countries citing papers authored by Girish Dwivedi

Since Specialization

Citations

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

Fields of papers citing papers by Girish Dwivedi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Girish Dwivedi

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

All Works

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20 of 20 papers shown

Devlin, Angela M., N. Lan, Brendan Adler, et al.. (2025). MRI assessed cardiac structure and function in young adult offspring of hypertensive pregnancies: a 27-year prospective follow-up birth cohort. American Journal of Physiology-Heart and Circulatory Physiology. 329(4). H844–H852.

Hicks, Doris, Lucy Barrett, Silvia Lee, et al.. (2025). Evaluation of tissue-specific extraction protocols for comprehensive lipid profiling. Analytica Chimica Acta. 1347. 343791–343791. 1 indexed citations

Lan, N., et al.. (2025). Learnings from Implementation Strategies to Improve Lipid Management. Current Cardiology Reports. 27(1). 9–9. 3 indexed citations

Espedal, Heidi, Ambuj Roy, N. Lan, et al.. (2025). Fluorodeoxyglucose Positron Emission Tomography Detects Persistent Arterial Inflammation After Symptomatic COVID-19. Heart Lung and Circulation. 34(9). 969–976. 1 indexed citations

Lan, N., et al.. (2025). Clonal hematopoiesis of indeterminate potential: a unifying mechanism linking metainflammation and cardiometabolic diseases. American Journal of Physiology-Heart and Circulatory Physiology. 329(6). H1575–H1593. 1 indexed citations

Chan, Dick C., Jing Pang, Gerald F. Watts, et al.. (2025). Triglyceride to High-Density Lipoprotein Cholesterol Ratio as a Marker of Subclinical Coronary Atherosclerosis and Hepatic Steatosis in Familial Hypercholesterolemia. Endocrine Practice. 31(6). 776–783. 1 indexed citations

Playford, E. Geoffrey, Simon Stewart, Gerard F. Hoyne, et al.. (2024). Comparing predictive risk to actual presence of coronary atherosclerosis on coronary computed tomography angiography. SHILAP Revista de lepidopterología. 49. 100493–100493.

Lü, Juan, et al.. (2024). Use of Artificial Intelligence Including Multimodal Systems to Improve the Management of Cardiovascular Disease. Canadian Journal of Cardiology. 40(10). 1804–1812. 11 indexed citations

Stewart, Jonathon, et al.. (2024). Health consumers' ethical concerns towards artificial intelligence in Australian emergency departments. Emergency Medicine Australasia. 36(5). 768–776. 2 indexed citations

10.

Ihdayhid, Abdul Rahman, David E. Newby, Michelle C. Williams, et al.. (2024). Coronary Artery Stenosis and High-Risk Plaque Assessed With an Unsupervised Fully Automated Deep Learning Technique. JACC Advances. 3(9). 100861–100861. 10 indexed citations

11.

Tsampasian, Vasiliki, Sathish Parasuraman, Brodie Loudon, et al.. (2024). Prevalence of asymptomatic valvular heart disease in the elderly population: a community-based echocardiographic study. European Heart Journal - Cardiovascular Imaging. 25(8). 1051–1058. 11 indexed citations

12.

Ayonrinde, Oyekoya T., Leon A. Adams, C. Welman, et al.. (2024). FRI-263 Severity of hepatic steatosis measured with controlled attenuation parameter as a determinant of carotid atherosclerosis in the Raine Study. Journal of Hepatology. 80. S487–S488.

13.

Lan, N., Tom Briffa, Frank Sanfilippo, et al.. (2023). Clinical outcomes and health care costs of transferring rural Western Australians for invasive coronary angiography, and a cost‐effective alternative care model: a retrospective cross‐sectional study. The Medical Journal of Australia. 219(4). 155–161. 3 indexed citations

14.

Ihdayhid, Abdul Rahman, et al.. (2023). Enhancing Risk Stratification on Coronary Computed Tomography Angiography: The Role of Artificial Intelligence. Clinical Therapeutics. 45(11). 1023–1028. 6 indexed citations

15.

Lodge, Samantha, Nathan G. Lawler, Nicola Gray, et al.. (2023). Integrative Plasma Metabolic and Lipidomic Modelling of SARS-CoV-2 Infection in Relation to Clinical Severity and Early Mortality Prediction. International Journal of Molecular Sciences. 24(14). 11614–11614. 13 indexed citations

16.

Stewart, Jonathon, Juan Lü, Adrian Goudie, et al.. (2022). Applications of Natural Language Processing at Emergency Department Triage: A Systematic Review. medRxiv. 4 indexed citations

17.

Abraham, Arun, Jing Pang, Benjamin J.W. Chow, et al.. (2022). Predicting High-Risk Plaques in Familial Hypercholesterolemia Using Clinical Variables and Coronary Artery Calcium. JACC Advances. 1(4). 100078–100078. 2 indexed citations

18.

Yeap, Bu B., Ross J. Marriott, Leen Antonio, et al.. (2020). Serum Testosterone is Inversely and Sex Hormone-binding Globulin is Directly Associated with All-cause Mortality in Men. The Journal of Clinical Endocrinology & Metabolism. 106(2). e625–e637. 38 indexed citations

19.

Awan, Saqib Ejaz, Mohammed Bennamoun, Ferdous Sohel, et al.. (2019). Feature selection and transformation by machine learning reduce variable numbers and improve prediction for heart failure readmission or death. PLoS ONE. 14(6). e0218760–e0218760. 48 indexed citations

20.

Butt, Mehmood, Omer Khair, Girish Dwivedi, et al.. (2011). Myocardial Perfusion by Myocardial Contrast Echocardiography and Endothelial Dysfunction in Obstructive Sleep Apnea. Hypertension. 58(3). 417–424. 44 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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