Nodar Kipshidze

691 total citations
32 papers, 375 citations indexed

About

Nodar Kipshidze is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Nodar Kipshidze has authored 32 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Surgery. Recurrent topics in Nodar Kipshidze's work include Venous Thromboembolism Diagnosis and Management (3 papers), COVID-19 epidemiological studies (3 papers) and Antiplatelet Therapy and Cardiovascular Diseases (3 papers). Nodar Kipshidze is often cited by papers focused on Venous Thromboembolism Diagnosis and Management (3 papers), COVID-19 epidemiological studies (3 papers) and Antiplatelet Therapy and Cardiovascular Diseases (3 papers). Nodar Kipshidze collaborates with scholars based in United States, United Kingdom and Georgia. Nodar Kipshidze's co-authors include Nicholas Kipshidze, Nicholas Kim‐Wah Yeo, George Dangas, Rupali J. Limaye, Fakiha Siddiqui, Jawed Fareed, Sunil S. Iyer, Maria V. DeVita, S. Shenoy and Christopher J. White and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Nature Photonics.

In The Last Decade

Nodar Kipshidze

28 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nodar Kipshidze United States 8 83 76 72 71 58 32 375
Juan A. Siordia United States 10 82 1.0× 44 0.6× 51 0.7× 182 2.6× 67 1.2× 21 442
Jae Seok Park South Korea 12 160 1.9× 19 0.3× 111 1.5× 175 2.5× 38 0.7× 46 587
Ziad Mansour France 12 127 1.5× 24 0.3× 40 0.6× 40 0.6× 57 1.0× 25 420
Ramona Dolscheid‐Pommerich Germany 13 82 1.0× 18 0.2× 46 0.6× 111 1.6× 41 0.7× 40 397
Jordi Ara Spain 11 134 1.6× 85 1.1× 46 0.6× 181 2.5× 32 0.6× 23 542
Martí Català Spain 14 36 0.4× 111 1.5× 76 1.1× 261 3.7× 29 0.5× 47 481
Saju Joseph United States 9 37 0.4× 21 0.3× 127 1.8× 39 0.5× 65 1.1× 20 304
Elaheh Abdollahi Canada 9 43 0.5× 177 2.3× 98 1.4× 245 3.5× 45 0.8× 13 558
Mohamed Zeinah United Kingdom 8 57 0.7× 19 0.3× 34 0.5× 50 0.7× 45 0.8× 16 261

Countries citing papers authored by Nodar Kipshidze

Since Specialization
Citations

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

Fields of papers citing papers by Nodar Kipshidze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nodar Kipshidze

This figure shows the co-authorship network connecting the top 25 collaborators of Nodar Kipshidze. A scholar is included among the top collaborators of Nodar Kipshidze 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 Nodar Kipshidze. Nodar Kipshidze 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.
Duong, Minh Cuong, et al.. (2025). Time series data on typhoid fever incidence during outbreaks from 2000 to 2022. Scientific Data. 12(1). 94–94.
2.
Kipshidze, Nodar, et al.. (2025). Machine Learning–Driven COVID-19 Hospitalization Forecasting: From Theory to Practice in a Major Northeastern Academic Medical Center. Open Forum Infectious Diseases. 12(6). ofaf307–ofaf307.
3.
Hamilton, Alisa, Nodar Kipshidze, Gary Lin, et al.. (2024). Incorporating endogenous human behavior in models of COVID-19 transmission: A systematic scoping review. SHILAP Revista de lepidopterología. 4. 100179–100179. 6 indexed citations
4.
Iversen, Patrick L., Nodar Kipshidze, Jawed Fareed, George Dangas, & Nicholas Kipshidze. (2023). PRE-CLINICAL FINDINGS OF A NOVEL THERAPEUTIC VACCINE TO LIMIT THE PROGRESSION OF CARDIOVASCULAR DISEASE: ATHEROVAX™. Journal of the American College of Cardiology. 81(8). 2110–2110.
5.
Kipshidze, Nicholas, et al.. (2020). Transcatheter Endoluminal Phototherapy as a Possible Adjunct Treatment for Patients with COVID-19. Photobiomodulation Photomedicine and Laser Surgery. 38(10). 579–580. 1 indexed citations
6.
Kipshidze, N., George Dangas, Christopher J. White, et al.. (2020). Viral Coagulopathy in Patients With COVID-19: Treatment and Care. Clinical and Applied Thrombosis/Hemostasis. 26. 2874335304–2874335304. 59 indexed citations
7.
Kipshidze, Nicholas, et al.. (2020). TCT CONNECT-218 Transcatheter Therapies For COVID-19. Journal of the American College of Cardiology. 76(17). B94–B94. 3 indexed citations
8.
Reddy, Vivek Y., Michael Fried, Petr Neužil, et al.. (2020). Percutaneous transcatheter bariatric embolotherapy for weight loss in obesity: two year data from a prospective RCT. European Heart Journal. 41(Supplement_2). 1 indexed citations
9.
Reddy, Vivek Y., Aharon Abbo, Carlos E. Ruiz, et al.. (2020). First-in-Human Percutaneous Circumferential Annuloplasty for Secondary Tricuspid Regurgitation. SHILAP Revista de lepidopterología. 2(14). 2176–2182. 9 indexed citations
10.
Güler, Gamze Babür, et al.. (2015). Enhanced platelet reactivity in pediatric depression. Blood Coagulation & Fibrinolysis. 26(7). 731–735. 4 indexed citations
11.
Serebruany, Victor L., Alex Pokov, Dániel Aradi, et al.. (2013). Effect of Aliskiren and Valsartan Combination Versus Aliskiren Monotherapy on Hemostatic Biomarkers in Hypertensive Diabetics. American Journal of Therapeutics. 21(6). 482–490. 1 indexed citations
12.
Serebruany, Victor L., et al.. (2013). Fatal Sepsis and Systemic Inflammatory Response Syndrome After Off-Label Prasugrel. American Journal of Therapeutics. 21(6). e229–e233. 4 indexed citations
13.
14.
Nemsadze, Gia, et al.. (2011). [Diagnostic possibilities of multilayer computer tomography in blunt abdominal trauma].. PubMed. 12–8. 1 indexed citations
15.
Kipshidze, Nodar, et al.. (2011). Endovascular treatment of patients with chronic cerebrospinal venous insufficiency and multiple sclerosis.. PubMed. 29–34. 5 indexed citations
16.
Kipshidze, Nodar, et al.. (2005). [Effect of the metabolic syndrome on the electrophysiological parameters of the heart].. PubMed. 9–13. 5 indexed citations
17.
Kipshidze, Nodar, et al.. (1992). Changes in lectin-induced chemiluminescence of neutrophilic granulocytes after helium-neon laser irradiation of blood. Bulletin of Experimental Biology and Medicine. 113(1). 32–35. 2 indexed citations
18.
Kipshidze, Nodar. (1989). [Dilated cardiomyopathy: sequela of viral myocarditis?].. PubMed. 29(11). 75–9. 1 indexed citations
19.
Kipshidze, Nodar, Gulnara Chapidze, & Manana Lapidus. (1988). [Characteristics of the course of myocardial infarct in patients with a history of Coxsackie B viral infection].. PubMed. 31–4. 1 indexed citations
20.
Kipshidze, Nodar. (1958). The effect of physical strain on the development of experimentally induced atherosclerosis. Bulletin of Experimental Biology and Medicine. 46(5). 1316–1321. 4 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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