Michael Fang

4.7k total citations · 5 hit papers
70 papers, 2.2k citations indexed

About

Michael Fang is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Michael Fang has authored 70 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Surgery and 10 papers in Genetics. Recurrent topics in Michael Fang's work include Diabetes Management and Research (22 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers) and Diabetes Treatment and Management (13 papers). Michael Fang is often cited by papers focused on Diabetes Management and Research (22 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers) and Diabetes Treatment and Management (13 papers). Michael Fang collaborates with scholars based in United States, Ireland and United Kingdom. Michael Fang's co-authors include Elizabeth Selvin, Josef Coresh, Dan Wang, Caitlin W. Hicks, Andrew J.M. Boulton, Katherine M. McDermott, Kimberlee A. Shauman, Yu Xie, Justin B. Echouffo‐Tcheugui and Mary R. Rooney and has published in prestigious journals such as New England Journal of Medicine, JAMA and Circulation.

In The Last Decade

Michael Fang

59 papers receiving 2.2k citations

Hit Papers

Etiology, Epidemiology, and Di... 2015 2026 2018 2022 2022 2021 2015 2023 2025 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Fang United States 20 1.1k 356 255 233 213 70 2.2k
Lin Han China 27 147 0.1× 130 0.4× 211 0.8× 239 1.0× 315 1.5× 154 2.3k
Sang Hui Chu South Korea 29 250 0.2× 48 0.1× 412 1.6× 263 1.1× 321 1.5× 146 2.7k
Latha Ganti United States 29 198 0.2× 178 0.5× 1.1k 4.4× 346 1.5× 286 1.3× 301 3.3k
Paola Frati Italy 32 242 0.2× 58 0.2× 322 1.3× 265 1.1× 583 2.7× 216 3.5k
Cláudio Leone Brazil 29 73 0.1× 66 0.2× 310 1.2× 137 0.6× 109 0.5× 153 2.5k
Thomas Wagner Germany 33 240 0.2× 80 0.2× 297 1.2× 369 1.6× 561 2.6× 152 3.4k
Andrea Iaboni Canada 26 101 0.1× 154 0.4× 137 0.5× 105 0.5× 361 1.7× 114 2.9k
Mary Joan MacLeod United Kingdom 30 112 0.1× 210 0.6× 740 2.9× 384 1.6× 248 1.2× 91 3.2k
Joey Nicholson United States 24 131 0.1× 28 0.1× 259 1.0× 491 2.1× 213 1.0× 53 2.6k

Countries citing papers authored by Michael Fang

Since Specialization
Citations

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

Fields of papers citing papers by Michael Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Fang. A scholar is included among the top collaborators of Michael Fang 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 Michael Fang. Michael Fang 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.
McEvoy, John W., et al.. (2026). Light Physical Activity and All‐Cause Mortality in US Adults Across Cardiovascular‐Kidney‐Metabolic Syndrome Stages. Journal of the American Heart Association. 15(3). e046271–e046271. 1 indexed citations
2.
Wallace, Amelia S., et al.. (2026). Defining Clinically Interpretable Glycemic Profiles Using Continuous Glucose Monitoring in Type 2 Diabetes. Diabetes Care. 49(3). e40–e42.
3.
Fang, Michael, Dan Wang, Casey M. Rebholz, et al.. (2025). DASH4D diet for glycemic control and glucose variability in type 2 diabetes: a randomized crossover trial. Nature Medicine. 31(10). 3309–3316.
4.
Wallace, Amelia S., Mary R. Rooney, Dan Wang, et al.. (2025). Ultra‐processed food consumption among adults with prediabetes and diabetes, 2001‐2018. Diabetes Obesity and Metabolism. 27(7). 3840–3847.
5.
He, Jiahuan, Katherine M. McDermott, Dan Wang, et al.. (2025). Prevalence of Peripheral Neuropathy Among Very Old Adults: Evidence From the Michigan Neuropathy Screening Instrument. Journal of the American Geriatrics Society. 73(11). 3530–3538.
6.
Fang, Michael, Jordan Weiss, David S. Knopman, et al.. (2025). Lifetime risk and projected burden of dementia. Nature Medicine. 31(3). 772–776. 20 indexed citations breakdown →
7.
Fang, Michael, Yunwen Xu, Shoshana H. Ballew, et al.. (2025). Trends and Disparities in Technology Use and Glycemic Control in Type 1 Diabetes. JAMA Network Open. 8(8). e2526353–e2526353. 2 indexed citations
8.
Xu, Yunwen, Justin B. Echouffo‐Tcheugui, Josef Coresh, et al.. (2025). Trends in obesity and glucagon‐like peptide‐1 receptor agonist prescriptions in type 1 diabetes in the United States. Diabetes Obesity and Metabolism. 27(6). 2967–2976. 3 indexed citations
9.
Spaulding, Erin M., Michael Fang, Yuling Chen, et al.. (2024). Satisfaction with Telehealth Care in the United States: Cross-Sectional Survey. Telemedicine Journal and e-Health. 30(6). 1549–1558. 1 indexed citations
10.
Fang, Michael, Dan Wang, Mary R. Rooney, et al.. (2023). Performance of the Glucose Management Indicator (GMI) in Type 2 Diabetes. Clinical Chemistry. 69(4). 422–428. 13 indexed citations
11.
Rooney, Mary R., Michael Fang, Katherine Ogurtsova, et al.. (2023). Global Prevalence of Prediabetes. Diabetes Care. 46(7). 1388–1394. 244 indexed citations breakdown →
13.
Sullivan, Valerie, Amelia S. Wallace, Mary R. Rooney, et al.. (2023). Inverse Associations between Measures of Adiposity and Glycated Albumin in US Adults, NHANES 1999–2004. The Journal of Applied Laboratory Medicine. 8(4). 751–762. 2 indexed citations
14.
Daya, Natalie, Michael Fang, Jung‐Im Shin, et al.. (2023). 1,5-Anhydroglucitol: A Novel Biomarker of Adherence to Sodium–Glucose Cotransporter 2 Inhibitors. Diabetes Care. 47(2). e9–e10. 4 indexed citations
15.
Echouffo‐Tcheugui, Justin B., Sui Zhang, John W. McEvoy, et al.. (2023). Insulin Resistance and N-Terminal Pro-B-Type Natriuretic Peptide Among Healthy Adults. JAMA Cardiology. 8(10). 989–989. 15 indexed citations
16.
Fang, Michael, et al.. (2023). Diabetic foot disease and the risk of major clinical outcomes. Diabetes Research and Clinical Practice. 202. 110778–110778. 7 indexed citations
17.
McDermott, Katherine M., Michael Fang, Andrew J.M. Boulton, Elizabeth Selvin, & Caitlin W. Hicks. (2022). Etiology, Epidemiology, and Disparities in the Burden of Diabetic Foot Ulcers. Diabetes Care. 46(1). 209–221. 523 indexed citations breakdown →
18.
Fang, Michael. (2020). Trends in Diabetes Management Among US Adults: 1999–2016. Journal of General Internal Medicine. 35(5). 1427–1434. 41 indexed citations
19.
Fang, Michael. (2018). Trends in the Prevalence of Diabetes Among U.S. Adults: 1999–2016. American Journal of Preventive Medicine. 55(4). 497–505. 57 indexed citations
20.
Keller, Andrew J., et al.. (2017). Al transmon qubits on silicon-on-insulator for quantum device integration. Applied Physics Letters. 111(4). 19 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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