Joon Ha

1.0k total citations
29 papers, 721 citations indexed

About

Joon Ha is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Joon Ha has authored 29 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Surgery and 9 papers in Molecular Biology. Recurrent topics in Joon Ha's work include Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Diabetes Management and Research (12 papers) and Metabolism, Diabetes, and Cancer (9 papers). Joon Ha is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Diabetes Management and Research (12 papers) and Metabolism, Diabetes, and Cancer (9 papers). Joon Ha collaborates with scholars based in United States, South Korea and United Kingdom. Joon Ha's co-authors include Arthur Sherman, Leslie S. Satin, Peter C. Butler, Stephanie T. Chung, Richard Bertram, Joseph P. McKenna, Matthew J. Merrins, LILIAN MABUNDO, Anne E. Sumner and Alexey Kuznetsov and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Joon Ha

27 papers receiving 714 citations

Peers

Joon Ha

EDM

SURGE

GENET

PHYSI

Marianthe Hamilton-Wessler United States

Miyoko Saito Japan

Melvin K. Dea United States

Luis Rodrigo Cataldo Chile

Ana B. Fernandes Portugal

Thue Johansen Denmark

Anthony H. Stonehouse United States

Seika Kato Japan

Jill A. Willency United States

Karine Clément France

Marianthe Hamilton-Wessler United States

Joon Ha

321 ×0.8

EDM

268 ×0.8

SURGE

239 ×0.9

95 ×0.6

GENET

296 ×2.8

PHYSI

Citations per year, relative to Joon Ha Joon Ha (= 1×) peers Marianthe Hamilton-Wessler

Countries citing papers authored by Joon Ha

Since Specialization

Citations

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

Fields of papers citing papers by Joon Ha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joon Ha

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Yiying, Ram Jagannathan, Cristina Bianchi, et al.. (2025). Superiority of 1 h plasma glucose vs fasting plasma glucose, 2 h plasma glucose and HbA1c for the diagnosis of type 2 diabetes. Diabetologia. 69(4). 911–916.

Ha, Joon, et al.. (2024). A Mathematical Model-Derived Disposition Index Without Insulin Validated in Youth With Obesity. The Journal of Clinical Endocrinology & Metabolism. 110(3). 706–714.

Ha, Joon, et al.. (2024). Determining the 1-hour post-load glucose which identifies diabetes in Africans: Insight from the Africans in America study. Diabetes Research and Clinical Practice. 214. 111792–111792. 2 indexed citations

Kim, Jinmi, Jeong Mi Kim, Minsoo Kim, et al.. (2024). High one-hour plasma glucose is an intermediate risk state and an early predictor of type 2 diabetes in a longitudinal Korean cohort. Diabetes Research and Clinical Practice. 219. 111938–111938. 4 indexed citations

Ha, Joon, Stephanie T. Chung, Joon Young Kim, et al.. (2023). Estimating insulin sensitivity and β-cell function from the oral glucose tolerance test: validation of a new insulin sensitivity and secretion (ISS) model. American Journal of Physiology-Endocrinology and Metabolism. 326(4). E454–E471. 5 indexed citations

Ha, Joon, Stephanie T. Chung, Clifton Bogardus, et al.. (2023). One-hour glucose is an earlier marker of dysglycemia than two-hour glucose. Diabetes Research and Clinical Practice. 203. 110839–110839. 17 indexed citations

Pyle, Laura, Joon Ha, Arthur Sherman, et al.. (2023). Predictive Value of 1-Hour Glucose Elevations during Oral Glucose Tolerance Testing for Cystic Fibrosis-Related Diabetes. Pediatric Diabetes. 2023. 1–8. 2 indexed citations

Parekh, Vishal S., Patrick A. Fletcher, Benjamin Thompson, et al.. (2022). Slow oscillations persist in pancreatic beta cells lacking phosphofructokinase M. Biophysical Journal. 121(5). 692–704. 11 indexed citations

Ha, Joon, Ranganath Muniyappa, Arthur Sherman, & Michael J. Quon. (2021). When MINMOD Artifactually Interprets Strong Insulin Secretion as Weak Insulin Action. Frontiers in Physiology. 12. 601894–601894. 6 indexed citations

10.

Ha, Joon & Arthur Sherman. (2020). Type 2 diabetes: one disease, many pathways. American Journal of Physiology-Endocrinology and Metabolism. 319(2). E410–E426. 39 indexed citations

11.

Jagannathan, Ram, LILIAN MABUNDO, Stephanie T. Chung, et al.. (2020). The OGTT is highly reproducible in Africans for the diagnosis of diabetes: Implications for treatment and protocol design. Diabetes Research and Clinical Practice. 170. 108523–108523. 13 indexed citations

12.

Hormenu, Thomas, LILIAN MABUNDO, Joon Ha, et al.. (2020). Improved Detection of Abnormal Glucose Tolerance in Africans: The Value of Combining Hemoglobin A1c With Glycated Albumin. Diabetes Care. 43(10). 2607–2613. 12 indexed citations

13.

MABUNDO, LILIAN, Thomas Hormenu, Stephanie T. Chung, et al.. (2019). A1C Underperforms as a Diagnostic Test in Africans Even in the Absence of Nutritional Deficiencies, Anemia and Hemoglobinopathies: Insight From the Africans in America Study. Frontiers in Endocrinology. 10. 533–533. 25 indexed citations

14.

Sherman, Arthur & Joon Ha. (2017). How Adaptation Makes Low Firing Rates Robust. SHILAP Revista de lepidopterología. 7(1). 4–4. 1 indexed citations

15.

Ahn, Chang Ho, Se Hee Min, Dong‐Hwa Lee, et al.. (2017). Hemoglobin Glycation Index Is Associated With Cardiovascular Diseases in People With Impaired Glucose Metabolism. The Journal of Clinical Endocrinology & Metabolism. 102(8). 2905–2913. 70 indexed citations

16.

McKenna, Joseph P., Joon Ha, Matthew J. Merrins, et al.. (2016). Ca 2+ Effects on ATP Production and Consumption Have Regulatory Roles on Oscillatory Islet Activity. Biophysical Journal. 110(3). 733–742. 38 indexed citations

17.

Merrins, Matthew J., Chetan Poudel, Joseph P. McKenna, et al.. (2016). Phase Analysis of Metabolic Oscillations and Membrane Potential in Pancreatic Islet β -Cells. Biophysical Journal. 110(3). 691–699. 52 indexed citations

18.

Ha, Joon, Leslie S. Satin, & Arthur Sherman. (2015). A Mathematical Model of the Pathogenesis, Prevention, and Reversal of Type 2 Diabetes. Endocrinology. 157(2). 624–635. 61 indexed citations

19.

Satin, Leslie S., Peter C. Butler, Joon Ha, & Arthur Sherman. (2015). Pulsatile insulin secretion, impaired glucose tolerance and type 2 diabetes. Molecular Aspects of Medicine. 42. 61–77. 176 indexed citations

20.

Ha, Joon & Alexey Kuznetsov. (2010). Frequency switching in a two-compartmental model of the dopaminergic neuron. Journal of Computational Neuroscience. 30(2). 241–254. 3 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.

Explore authors with similar magnitude of impact