Fawad Qureshi

769 total citations
49 papers, 488 citations indexed

About

Fawad Qureshi is a scholar working on Nephrology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Fawad Qureshi has authored 49 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Nephrology, 13 papers in Pulmonary and Respiratory Medicine and 12 papers in Surgery. Recurrent topics in Fawad Qureshi's work include Artificial Intelligence in Healthcare and Education (11 papers), Acute Kidney Injury Research (6 papers) and Magnesium in Health and Disease (6 papers). Fawad Qureshi is often cited by papers focused on Artificial Intelligence in Healthcare and Education (11 papers), Acute Kidney Injury Research (6 papers) and Magnesium in Health and Disease (6 papers). Fawad Qureshi collaborates with scholars based in United States, Thailand and Italy. Fawad Qureshi's co-authors include Charat Thongprayoon, Wisit Cheungpasitporn, Jing Miao, Supawadee Suppadungsuk, Oscar A. Garcia Valencia, Bertram L. Kasiske, Hamid Rabb, Michael A. Mao, Tananchai Petnak and Pajaree Krisanapan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Transplantation.

In The Last Decade

Fawad Qureshi

48 papers receiving 473 citations

Peers

Fawad Qureshi
Pattharawin Pattharanitima Thailand
Boris Pfahringer Germany
Ammar Almehmi United States
Chenxi Huang United States
Octavia M. Peck Palmer United States
Qinyu Zhao China
Julian S. Haimovich United States
Tielman Van Vleck United States
Nicola Pugliese Italy
Romin Pajouheshnia Netherlands
Pattharawin Pattharanitima Thailand
Fawad Qureshi
Citations per year, relative to Fawad Qureshi Fawad Qureshi (= 1×) peers Pattharawin Pattharanitima

Countries citing papers authored by Fawad Qureshi

Since Specialization
Citations

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

Fields of papers citing papers by Fawad Qureshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fawad Qureshi

This figure shows the co-authorship network connecting the top 25 collaborators of Fawad Qureshi. A scholar is included among the top collaborators of Fawad Qureshi 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 Fawad Qureshi. Fawad Qureshi 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.
Thongprayoon, Charat, Fawad Qureshi, Jing Miao, et al.. (2025). WCN25-359 COMPARATIVE ANALYSIS OF CHATGPT-4 AND CLAUDE 3 OPUS IN ANSWERING ACUTE KIDNEY INJURY AND CRITICAL CARE NEPHROLOGY QUESTIONS. Kidney International Reports. 10(2). S729–S729. 1 indexed citations
2.
Suppadungsuk, Supawadee, Paul W. Davis, Jing Miao, et al.. (2024). Assessing global and regional public interest in home dialysis modalities from 2004 to 2024. SHILAP Revista de lepidopterología. 4. 1489180–1489180. 1 indexed citations
3.
Thongprayoon, Charat, Supawadee Suppadungsuk, Jing Miao, et al.. (2024). The evolution of public attention in acute kidney injury and continuous renal replacement therapy: trends analysis from 2004 to 2024. SHILAP Revista de lepidopterología. 4. 1472144–1472144. 1 indexed citations
4.
Thongprayoon, Charat, Supawadee Suppadungsuk, Pajaree Krisanapan, et al.. (2024). Personalized Medicine in Urolithiasis: AI Chatbot-Assisted Dietary Management of Oxalate for Kidney Stone Prevention. Journal of Personalized Medicine. 14(1). 107–107. 17 indexed citations
5.
Barreto, Erin F., Charat Thongprayoon, Jing Miao, et al.. (2024). Identification of kidney-related medications using AI from self-captured pill images. Renal Failure. 46(2). 2402075–2402075. 1 indexed citations
6.
Qureshi, Fawad, et al.. (2024). Readability Metrics in Patient Education: Where Do We Innovate?. SHILAP Revista de lepidopterología. 14(6). 2341–2349. 2 indexed citations
7.
Miao, Jing, Charat Thongprayoon, Supawadee Suppadungsuk, et al.. (2023). Ethical Dilemmas in Using AI for Academic Writing and an Example Framework for Peer Review in Nephrology Academia: A Narrative Review. SHILAP Revista de lepidopterología. 14(1). 89–105. 44 indexed citations
8.
Miao, Jing, Charat Thongprayoon, Supawadee Suppadungsuk, et al.. (2023). Innovating Personalized Nephrology Care: Exploring the Potential Utilization of ChatGPT. Journal of Personalized Medicine. 13(12). 1681–1681. 24 indexed citations
9.
Thongprayoon, Charat, Pradeep Vaitla, Caroline C. Jadlowiec, et al.. (2023). Distinct Phenotypes of Non-Citizen Kidney Transplant Recipients in the United States by Machine Learning Consensus Clustering. SHILAP Revista de lepidopterología. 10(4). 25–25. 1 indexed citations
10.
Tangpanithandee, Supawit, Charat Thongprayoon, Supawadee Suppadungsuk, et al.. (2023). AI-Powered Renal Diet Support: Performance of ChatGPT, Bard AI, and Bing Chat. SHILAP Revista de lepidopterología. 13(5). 1160–1172. 53 indexed citations
11.
Suppadungsuk, Supawadee, Charat Thongprayoon, Jing Miao, et al.. (2023). Exploring the Potential of Chatbots in Critical Care Nephrology. SHILAP Revista de lepidopterología. 10(10). 58–58. 22 indexed citations
12.
Thongprayoon, Charat, Supawadee Suppadungsuk, Pajaree Krisanapan, et al.. (2023). Navigating the Landscape of Personalized Medicine: The Relevance of ChatGPT, BingChat, and Bard AI in Nephrology Literature Searches. Journal of Personalized Medicine. 13(10). 1457–1457. 24 indexed citations
13.
Thongprayoon, Charat, Pattharawin Pattharanitima, Andrea G. Kattah, et al.. (2022). Explainable Preoperative Automated Machine Learning Prediction Model for Cardiac Surgery-Associated Acute Kidney Injury. Journal of Clinical Medicine. 11(21). 6264–6264. 18 indexed citations
14.
Thongprayoon, Charat, Shennen A. Mao, Caroline C. Jadlowiec, et al.. (2022). Machine Learning Consensus Clustering of Morbidly Obese Kidney Transplant Recipients in the United States. Journal of Clinical Medicine. 11(12). 3288–3288. 7 indexed citations
15.
Thongprayoon, Charat, Yeshwanter Radhakrishnan, Wisit Cheungpasitporn, et al.. (2022). Association of hypochloremia with mortality among patients requiring continuous renal replacement therapy. Journal of Nephrology. 36(1). 161–170. 3 indexed citations
16.
17.
Thongprayoon, Charat, Mira T. Keddis, Andrea G. Kattah, et al.. (2021). Machine Learning Consensus Clustering Approach for Hospitalized Patients with Dysmagnesemia. Diagnostics. 11(11). 2119–2119. 9 indexed citations
18.
Pattharanitima, Pattharawin, Charat Thongprayoon, Wisit Kaewput, et al.. (2021). Machine Learning Prediction Models for Mortality in Intensive Care Unit Patients with Lactic Acidosis. Journal of Clinical Medicine. 10(21). 5021–5021. 11 indexed citations
19.
Thongprayoon, Charat, Pradeep Vaitla, Michael A. Mao, et al.. (2021). Clinically Distinct Subtypes of Acute Kidney Injury on Hospital Admission Identified by Machine Learning Consensus Clustering. SHILAP Revista de lepidopterología. 9(4). 60–60. 7 indexed citations
20.
Thongprayoon, Charat, Panupong Hansrivijit, Wisit Kaewput, et al.. (2020). Thrombotic Microangiopathy among Hospitalized Patients with Systemic Lupus Erythematosus in the United States. SHILAP Revista de lepidopterología. 9(1). 3–3. 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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