Uzma Khan

438 total citations
28 papers, 297 citations indexed

About

Uzma Khan is a scholar working on Endocrinology, Diabetes and Metabolism, General Health Professions and Surgery. According to data from OpenAlex, Uzma Khan has authored 28 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 6 papers in General Health Professions and 4 papers in Surgery. Recurrent topics in Uzma Khan's work include Diabetes Management and Education (8 papers), Diabetes Management and Research (4 papers) and Mobile Health and mHealth Applications (4 papers). Uzma Khan is often cited by papers focused on Diabetes Management and Education (8 papers), Diabetes Management and Research (4 papers) and Mobile Health and mHealth Applications (4 papers). Uzma Khan collaborates with scholars based in United States, United Kingdom and India. Uzma Khan's co-authors include Serge Przedborski, David Sulzer, Min Soon Kim, Suzanne Austin Boren, María A. Mena, Daniel M. Togasaki, Arshad Jahangir, Komandoor Srivathsan, Giuseppe Caracciolo and Partho P. Sengupta and has published in prestigious journals such as Journal of Neurochemistry, Archives of Disease in Childhood and Analytical and Bioanalytical Chemistry.

In The Last Decade

Uzma Khan

22 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Uzma Khan United States 8 84 48 48 47 47 28 297
Hakkı Dalçık Türkiye 12 24 0.3× 40 0.8× 43 0.9× 17 0.4× 12 0.3× 32 303
Min Kyung Kwon South Korea 10 19 0.2× 72 1.5× 39 0.8× 17 0.4× 29 0.6× 17 360
Michael Ho United States 5 73 0.9× 110 2.3× 38 0.8× 10 0.2× 13 0.3× 6 336
Vanessa King United States 5 49 0.6× 52 1.1× 51 1.1× 15 0.3× 6 0.1× 9 255
Xuejing Yue China 9 25 0.3× 51 1.1× 42 0.9× 155 3.3× 8 0.2× 13 346
Douglas Denham United States 10 32 0.4× 96 2.0× 286 6.0× 48 1.0× 14 0.3× 22 547
Marie‐Christine Picot France 6 46 0.5× 87 1.8× 59 1.2× 46 1.0× 3 0.1× 7 481
Jacqueline Miller United States 6 21 0.3× 67 1.4× 20 0.4× 16 0.3× 4 0.1× 9 271
Magda Wojtara United States 7 17 0.2× 47 1.0× 25 0.5× 10 0.2× 13 0.3× 37 203
Jennifer Gillman United States 12 30 0.4× 19 0.4× 20 0.4× 20 0.4× 9 0.2× 26 345

Countries citing papers authored by Uzma Khan

Since Specialization
Citations

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

Fields of papers citing papers by Uzma Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uzma Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Uzma Khan. A scholar is included among the top collaborators of Uzma Khan 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 Uzma Khan. Uzma Khan 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.
Shah, A. H., et al.. (2025). Assessment of Genetic Diversity in Hexaploid Wheat of Northern Areas of Pakistan (Gilgit Baltistan) using Morphological Marker. International Journal of Agriculture and Biology. 22(2).
2.
3.
Khan, Uzma, et al.. (2024). 6785 Thrombocytopenia: A new adverse effect of Romosozumab. Journal of the Endocrine Society. 8(Supplement_1).
4.
Chockalingam, Anand, et al.. (2023). Early Recognition of Overweight Hyperglycaemia May Improve Clinical Outcomes in Type 2 Diabetes. touchREVIEWS in Endocrinology. 19(1). 33–33. 2 indexed citations
5.
Alafaireet, Patricia, et al.. (2023). Association rule mining of real-world data: Uncovering links between race, glycemic control, lipid profiles, and suicide attempts in individuals with diabetes. Informatics in Medicine Unlocked. 42. 101345–101345. 2 indexed citations
6.
7.
Boren, Suzanne Austin, et al.. (2022). SEE-diabetes, a patient-centered diabetes self-management education and support for older adults: Findings and information needs from providers’ perspectives. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 16(9). 102582–102582. 1 indexed citations
8.
Khan, Uzma, et al.. (2021). The Architectural Evolution of the Shared Heritage and the Portuguese Influence: Case of Old Goa. 1(1). 78–83. 1 indexed citations
9.
Ali, Tahir, et al.. (2021). Mentha longifolia Alleviates Exogenous Serotonin-Induced Diabetic Hypoglycemia and Relieves Renal Toxicity via ROS Regulation. Plant Foods for Human Nutrition. 76(4). 501–506. 4 indexed citations
10.
Boren, Suzanne Austin, et al.. (2021). Analysis of Healthy Coping Feedback Messages from Diabetes Mobile Apps: Validation Against an Evidence-Based Framework. Journal of Diabetes Science and Technology. 17(1). 152–162. 3 indexed citations
11.
Khan, Uzma. (2020). Telemedicine in the COVID-19 Era: A chance to make a better tomorrow. Pakistan Journal of Medical Sciences. 36(6). 1405–1407. 13 indexed citations
12.
Khan, Uzma, et al.. (2019). Early Life Microcirculatory Plasticity and Blood Pressure Changes in Low Birth Weight Infants Born to Normotensive Mothers: A Cohort Study. American Journal of Hypertension. 32(6). 570–578. 3 indexed citations
13.
Singh, Surya Pratap, Luis H. Galindo, Peter T. C. So, et al.. (2018). Evaluation of accuracy dependence of Raman spectroscopic models on the ratio of calibration and validation points for non-invasive glucose sensing. Analytical and Bioanalytical Chemistry. 410(25). 6469–6475. 26 indexed citations
14.
Khan, Uzma, et al.. (2016). G508(P) A serious drug error resulting in life-threatening hypernatraemia. Archives of Disease in Childhood. 101(Suppl 1). A302.1–A302.
15.
16.
Mirza, Mahek, Giuseppe Caracciolo, Uzma Khan, et al.. (2011). Left atrial reservoir function predicts atrial fibrillation recurrence after catheter ablation: a two-dimensional speckle strain study. Journal of Interventional Cardiac Electrophysiology. 31(3). 197–206. 79 indexed citations
17.
Peyser, Thomas A., Howard Zisser, Uzma Khan, et al.. (2011). Use of a Novel Fluorescent Glucose Sensor in Volunteer Subjects with Type 1 Diabetes Mellitus. Journal of Diabetes Science and Technology. 5(3). 687–693. 16 indexed citations
18.
Khan, Uzma, et al.. (2010). Surgical Cure of Hypertension in a Patient With MEN 2A Syndrome and Mixed Dopamine, Metanephrine Pheochromocytoma. Journal of Clinical Hypertension. 12(6). 439–443. 2 indexed citations
19.
20.
Przedborski, Serge, Uzma Khan, Vladimir Kostić, et al.. (1996). Increased Superoxide Dismutase Activity Improves Survival of Cultured Postnatal Midbrain Neurons. Journal of Neurochemistry. 67(4). 1383–1392. 39 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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