Christine Darwin

2.4k total citations
36 papers, 1.8k citations indexed

About

Christine Darwin is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Christine Darwin has authored 36 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 12 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Surgery. Recurrent topics in Christine Darwin's work include Blood Pressure and Hypertension Studies (6 papers), Diabetes Management and Research (5 papers) and Diet and metabolism studies (4 papers). Christine Darwin is often cited by papers focused on Blood Pressure and Hypertension Studies (6 papers), Diabetes Management and Research (5 papers) and Diet and metabolism studies (4 papers). Christine Darwin collaborates with scholars based in United States, Australia and United Kingdom. Christine Darwin's co-authors include Mohammed Saad, Garry M. Steil, Kerstin Rebrin, Ebrahim Haroon, Olusola Ajilore, Jim Mintz, Anand Kumar, Sameh Tadros, Dániel Pham and Virginia Elderkin‐Thompson and has published in prestigious journals such as Journal of the American College of Cardiology, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Christine Darwin

33 papers receiving 1.7k citations

Peers

Christine Darwin
Johannes W. Dietrich Germany
Michael Tansey United States
Helen L. Lutgers Netherlands
Rose Gubitosi‐Klug United States
Tony M. Chou United States
Lalita Khaodhiar United States
Katherine V. Williams United States
Harald J. Schneider Germany
Leanne Groban United States
D. Lang Germany
Johannes W. Dietrich Germany
Christine Darwin
Citations per year, relative to Christine Darwin Christine Darwin (= 1×) peers Johannes W. Dietrich

Countries citing papers authored by Christine Darwin

Since Specialization
Citations

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

Fields of papers citing papers by Christine Darwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Darwin

This figure shows the co-authorship network connecting the top 25 collaborators of Christine Darwin. A scholar is included among the top collaborators of Christine Darwin 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 Christine Darwin. Christine Darwin 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.
Sarma, Manoj K., Suresh Anand Sadananthan, Christine Darwin, et al.. (2025). Lipid Deposition in Skeletal Muscle Tissues and Its Correlation with Intra-Abdominal Fat: A Pilot Investigation in Type 2 Diabetes Mellitus. Metabolites. 15(1). 25–25. 2 indexed citations
2.
Aroda, Vanita R., William C. Knowler, Jill P. Crandall, et al.. (2017). Metformin for diabetes prevention: insights gained from the Diabetes Prevention Program/Diabetes Prevention Program Outcomes Study. Diabetologia. 60(9). 1601–1611. 138 indexed citations
3.
Effoe, Valery, Haiying Chen, Andrew E. Moran, et al.. (2015). Acculturation is associated with left ventricular mass in a multiethnic sample: the Multi-Ethnic Study of Atherosclerosis. BMC Cardiovascular Disorders. 15(1). 161–161. 7 indexed citations
4.
Redheuil, Alban, Colin O. Wu, Nadjia Kachenoura, et al.. (2014). Proximal Aortic Distensibility Is an Independent Predictor of All-Cause Mortality and Incident CV Events. Journal of the American College of Cardiology. 64(24). 2619–2629. 140 indexed citations
5.
Schneck, Michael, David R. Jacobs, Kiang Liu, et al.. (2010). Association of Carotid Intima-Media Thickness With Progression of Urine Albumin-Creatinine Ratios in the Multi-Ethnic Study of Atherosclerosis (MESA). American Journal of Kidney Diseases. 57(1). 62–70. 13 indexed citations
6.
Nguyen, Thanh T., Tien Yin Wong, Amirul Islam, et al.. (2010). Evidence of Early Retinal Microvascular Changes in Patients With Type 2 Diabetes and Depression. Psychosomatic Medicine. 72(6). 535–538. 25 indexed citations
7.
Khanna, Dinesh, Kelvin Kam Lung Chong, Nikoo F. Afifiyan, et al.. (2009). Rituximab Treatment of Patients with Severe, Corticosteroid-Resistant Thyroid-Associated Ophthalmopathy. Ophthalmology. 117(1). 133–139.e2. 131 indexed citations
8.
Kershaw, Kiarri N., Ana V. Diez Roux, Mercedes R. Carnethon, et al.. (2009). Geographic Variation in Hypertension Prevalence Among Blacks and Whites: The Multi-Ethnic Study of Atherosclerosis. American Journal of Hypertension. 23(1). 46–53. 45 indexed citations
9.
Haroon, Ebrahim, Albert Thomas, Olusola Ajilore, et al.. (2008). Prefrontal myo-inositol concentration and visuospatial functioning among diabetic depressed patients. Psychiatry Research Neuroimaging. 171(1). 10–19. 23 indexed citations
10.
Kumar, Anand, Ebrahim Haroon, Christine Darwin, et al.. (2007). Gray matter prefrontal changes in type 2 diabetes detected using MRI. Journal of Magnetic Resonance Imaging. 27(1). 14–19. 89 indexed citations
11.
Nguyen, Thanh T., Tien Yin Wong, Amirul Islam, et al.. (2007). Is depression associated with microvascular disease in patients with type 2 diabetes?. Depression and Anxiety. 25(11). E158–E162. 15 indexed citations
12.
Palmas, Walter, et al.. (2007). Antihypertensive Medications and C-Reactive Protein in the Multi-Ethnic Study of Atherosclerosis. American Journal of Hypertension. 20(3). 233–241. 48 indexed citations
13.
Letamendi, Andrea, Virginia Elderkin‐Thompson, Ebrahim Haroon, et al.. (2006). Cognitive function in adults with type 2 diabetes and major depression. Archives of Clinical Neuropsychology. 21(8). 787–796. 62 indexed citations
14.
Ajilore, Olusola, Ebrahim Haroon, S Senthil Kumaran, et al.. (2006). Measurement of Brain Metabolites in Patients with type 2 Diabetes and Major Depression Using Proton Magnetic Resonance Spectroscopy. Neuropsychopharmacology. 32(6). 1224–1231. 102 indexed citations
15.
Steil, Garry M., et al.. (2005). Interstitial fluid glucose dynamics during insulin-induced hypoglycaemia. Diabetologia. 48(9). 1833–1840. 111 indexed citations
16.
Cui, Jian Zhong, Lynne E. Wagenknecht, Jacqueline M. Norris, et al.. (2005). Cosegregation of Albuminuria and Blood PressureThe Insulin Resistance Atherosclerosis (IRAS) Family Study. American Journal of Hypertension. 18(6). 823–827. 6 indexed citations
17.
18.
Cohan, Pejman, et al.. (2004). Treatment of Hyperthyroidism Associated with Thyrotropin-Secreting Pituitary Adenomas with Iopanoic Acid. The Journal of Clinical Endocrinology & Metabolism. 89(2). 708–711. 12 indexed citations
19.
Steil, Garry M., et al.. (2003). Modeling β -Cell Insulin Secretion - Implications for Closed-Loop Glucose Homeostasis. Diabetes Technology & Therapeutics. 5(6). 953–964. 70 indexed citations
20.
Pécsvárady, Zsolt, et al.. (1994). Decreased Polymorphonuclear Leukocyte Deformability in NIDDM. Diabetes Care. 17(1). 57–63. 53 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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