Hakima Hannachi

756 total citations · 1 hit paper
14 papers, 463 citations indexed

About

Hakima Hannachi is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Hakima Hannachi has authored 14 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in Hakima Hannachi's work include Diabetes Treatment and Management (8 papers), Metabolism, Diabetes, and Cancer (5 papers) and Diabetes Management and Research (5 papers). Hakima Hannachi is often cited by papers focused on Diabetes Treatment and Management (8 papers), Metabolism, Diabetes, and Cancer (5 papers) and Diabetes Management and Research (5 papers). Hakima Hannachi collaborates with scholars based in United States, France and United Kingdom. Hakima Hannachi's co-authors include Swapnil Rajpathak, Kristy Iglay, Samuel S. Engel, Xueying Li, Puneet K. Singhal, Grégory Ducrocq, Yedid Elbez, Philippe Gabríel Steg, Kim A. Eagle and Jérémie Abtan and has published in prestigious journals such as Diabetes, Obesity and Current Medical Research and Opinion.

In The Last Decade

Hakima Hannachi

11 papers receiving 447 citations

Hit 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.

Prevalence and co-prevalence of comorbidities among patients with type 2 diabetes mellitus

2016 339 citations Kristy Iglay, Hakima Hannachi et al. Current Medical Research and Opinion profile →

Peers

Hakima Hannachi

EDM

EPIDE

SURGE

CCM

Pamela Kushner United States

J. Flack Australia

Janine Bauman United States

Jan Stålhammar Sweden

Valeria Frighi United Kingdom

Brian Sakurada United States

Todd Hobbs United States

Sofia Syed United States

Aulia Rizka Indonesia

Pamela Kushner United States

Hakima Hannachi

257 ×1.0

EDM

52 ×0.4

EPIDE

86 ×1.1

SURGE

63 ×0.8

CCM

70 ×0.9

Citations per year, relative to Hakima Hannachi Hakima Hannachi (= 1×) peers Pamela Kushner

Countries citing papers authored by Hakima Hannachi

Since Specialization

Citations

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

Fields of papers citing papers by Hakima Hannachi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hakima Hannachi

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

All Works

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14 of 14 papers shown

Nelson, John, Richard A. Hansen, Handrean Soran, et al.. (2025). Comparison of product label vs real-world safety data from branded icosapent ethyl users: A select analysis utilizing MarketScan data. Journal of clinical lipidology. 19(3). 695–700.

Iglay, Kristy, Hakima Hannachi, Samuel S. Engel, et al.. (2021). Comorbidities in type 2 diabetes patients with and without atherosclerotic cardiovascular disease: a retrospective database analysis. Current Medical Research and Opinion. 37(5). 743–751. 7 indexed citations

Fernandes, Gail, Baanie Sawhney, Hakima Hannachi, et al.. (2020). Distance to glycemic goal at the time of treatment intensification in patients with type 2 diabetes mellitus failing metformin monotherapy in the United States. Current Medical Research and Opinion. 36(5). 741–748. 6 indexed citations

Heymsfield, Steven B., Annaswamy Raji, Silvina Gallo, et al.. (2020). Efficacy and Safety of Ertugliflozin in Patients with Overweight and Obesity with Type 2 Diabetes Mellitus. Obesity. 28(4). 724–732. 14 indexed citations

McNeill, Ann, Glenn Davies, Eliza Kruger, et al.. (2019). Ertugliflozin Compared to Other Anti-hyperglycemic Agents as Monotherapy and Add-on Therapy in Type 2 Diabetes: A Systematic Literature Review and Network Meta-Analysis. Diabetes Therapy. 10(2). 473–491. 20 indexed citations

Tang, Yuexin, Jinan Liu, Hakima Hannachi, et al.. (2018). Retrospective Cohort Analysis of the Reduced Burden of Hypoglycemia Associated with Dipeptidyl Peptidase-4 Inhibitor Use in Patients with Type 2 Diabetes Mellitus. Diabetes Therapy. 9(6). 2259–2270. 2 indexed citations

Liu, Jinan, Yuexin Tang, Hakima Hannachi, Samuel S. Engel, & Swapnil Rajpathak. (2018). Impact of Switching from Sulfonylureas to Dipeptidyl Peptidase-4 Inhibitors on Hypoglycemia Burden in the United States—A Predictive Modeling Approach. Diabetes. 67(Supplement_1). 1 indexed citations

Iglay, Kristy, Hakima Hannachi, Samuel S. Engel, et al.. (2018). Racial Patterns of Comorbidities in Patients with Cardiovascular Disease and Type 2 Diabetes. Diabetes. 67(Supplement_1).

Abtan, Jérémie, Deepak L. Bhatt, Yedid Elbez, et al.. (2017). Geographic variation and risk factors for systemic and limb ischemic events in patients with symptomatic peripheral artery disease: Insights from the REACH Registry. Clinical Cardiology. 40(9). 710–718. 26 indexed citations

10.

Pawaskar, Manjiri, Jinan Liu, Swapnil Rajpathak, et al.. (2017). Demographic and clinical profiles of type 2 diabetes mellitus patients initiating sitagliptin in the real-world setting. Current Medical Research and Opinion. 33(7). 1247–1253. 1 indexed citations

11.

Iglay, Kristy, et al.. (2016). Prevalence and co-prevalence of comorbidities among patients with type 2 diabetes mellitus. Current Medical Research and Opinion. 32(7). 1243–1252. 339 indexed citations breakdown →

12.

Abtan, Jérémie, Deepak L. Bhatt, Yedid Elbez, et al.. (2016). Residual Ischemic Risk and Its Determinants in Patients With Previous Myocardial Infarction and Without Prior Stroke or TIA: Insights From the REACH Registry. Clinical Cardiology. 39(11). 670–677. 37 indexed citations

13.

Alla, François, Myriam Rosilio, Christian Funck‐Brentano, et al.. (2013). How can the Quality of Medical Data in Pharmacovigilance, Pharmacoepidemiology and Clinical Studies be Guaranteed?. Therapies. 68(4). 217–223. 5 indexed citations

14.

Alla, François, Myriam Rosilio, Christian Funck‐Brentano, et al.. (2013). Comment garantir des données médicales de qualité dans les études cliniques, pharmaco-épidémiologiques et en pharmacovigilance ?. Therapies. 68(4). 209–216. 5 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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