Bashair M. Mussa

529 total citations
37 papers, 351 citations indexed

About

Bashair M. Mussa is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Bashair M. Mussa has authored 37 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 10 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Genetics. Recurrent topics in Bashair M. Mussa's work include Diabetes and associated disorders (9 papers), Pancreatic function and diabetes (9 papers) and Diabetes Management and Research (5 papers). Bashair M. Mussa is often cited by papers focused on Diabetes and associated disorders (9 papers), Pancreatic function and diabetes (9 papers) and Diabetes Management and Research (5 papers). Bashair M. Mussa collaborates with scholars based in United Arab Emirates, Australia and United Kingdom. Bashair M. Mussa's co-authors include Anthony J.M. Verberne, Debasmita Mukhopadhyay, Daniela M. Sartor, Salah Abusnana, Abdul Khader Mohammed, Christian Rantzau, Nabil Sulaiman, Jalal Taneera, Rabih Halwani and Lily Stojanovska and has published in prestigious journals such as Scientific Reports, Brain Research and International Journal of Molecular Sciences.

In The Last Decade

Bashair M. Mussa

31 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bashair M. Mussa United Arab Emirates 12 75 70 67 60 54 37 351
Bogdan Pavel Romania 7 135 1.8× 17 0.2× 85 1.3× 17 0.3× 66 1.2× 27 396
Valdo José Dias da Silva Brazil 14 42 0.6× 58 0.8× 88 1.3× 55 0.9× 64 1.2× 42 596
Amjad Samara United States 11 25 0.3× 36 0.5× 38 0.6× 26 0.4× 80 1.5× 29 343
Csaba Csontos Hungary 14 121 1.6× 43 0.6× 100 1.5× 70 1.2× 50 0.9× 31 666
Mihaela Enache France 9 160 2.1× 28 0.4× 42 0.6× 53 0.9× 189 3.5× 10 528
Soo Hyun Kwon South Korea 9 18 0.2× 18 0.3× 86 1.3× 35 0.6× 72 1.3× 10 432
Sandra Dexpert France 10 32 0.4× 35 0.5× 114 1.7× 25 0.4× 165 3.1× 16 455
Rafael Simone Saia Brazil 11 39 0.5× 35 0.5× 54 0.8× 21 0.3× 49 0.9× 17 263
Cédric Beau France 10 30 0.4× 110 1.6× 112 1.7× 20 0.3× 145 2.7× 16 511
Guilherme Fleury Fina Speretta Brazil 13 58 0.8× 34 0.5× 47 0.7× 57 0.9× 150 2.8× 37 426

Countries citing papers authored by Bashair M. Mussa

Since Specialization
Citations

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

Fields of papers citing papers by Bashair M. Mussa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bashair M. Mussa. 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 Bashair M. Mussa. The network helps show where Bashair M. Mussa may publish in the future.

Co-authorship network of co-authors of Bashair M. Mussa

This figure shows the co-authorship network connecting the top 25 collaborators of Bashair M. Mussa. A scholar is included among the top collaborators of Bashair M. Mussa 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 Bashair M. Mussa. Bashair M. Mussa 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.
Abusnana, Salah, et al.. (2024). New insights on genetic background of major diabetic vascular complications. Diabetology & Metabolic Syndrome. 16(1). 243–243. 1 indexed citations
2.
Taneera, Jalal, Anila Khalique, Abdul Khader Mohammed, et al.. (2024). Investigating the Impact of IL6 on Insulin Secretion: Evidence from INS-1 Cells, Human Pancreatic Islets, and Serum Analysis. Cells. 13(8). 685–685. 1 indexed citations
3.
Ramakrishnan, Rakhee K., et al.. (2024). Investigating the role of an immediate early gene FOS as a potential regulator of autophagic response to hypoglycemia in embryonic hypothalamic neurons. Clinical and Translational Science. 17(3). e13749–e13749. 1 indexed citations
4.
5.
Mussa, Bashair M., et al.. (2024). Postprandial Glucose and Insulin Response to Meal Sequence Among Healthy UAE Adults: A Randomized Controlled Crossover Trial. Diabetes Metabolic Syndrome and Obesity. Volume 17. 4257–4265. 1 indexed citations
6.
Abusnana, Salah, et al.. (2024). Predictive factors of perinatal depression among women with gestational diabetes mellitus in the UAE: a cross-sectional clinical study. BMC Pregnancy and Childbirth. 24(1). 146–146. 3 indexed citations
7.
Taneera, Jalal, Abdul Khader Mohammed, Anila Khalique, et al.. (2024). Unraveling the significance of PPP1R1A gene in pancreatic β-cell function: A study in INS-1 cells and human pancreatic islets. Life Sciences. 345. 122608–122608. 1 indexed citations
8.
Sharif‐Askari, Narjes Saheb, et al.. (2023). Investigating the Association between Diabetic Neuropathy and Vitamin D in Emirati Patients with Type 2 Diabetes Mellitus. Cells. 12(1). 198–198. 5 indexed citations
9.
Mussa, Bashair M., et al.. (2023). Impact of COVID-19 Pandemic on Weight Change Among Adults in the UAE. International Journal of General Medicine. Volume 16. 1661–1670. 5 indexed citations
10.
Mussa, Bashair M., et al.. (2022). Effects of Varying Glucose Concentrations on ACE2′s Hypothalamic Expression and Its Potential Relation to COVID-19-Associated Neurological Dysfunction. International Journal of Molecular Sciences. 23(17). 9645–9645. 1 indexed citations
11.
Mussa, Bashair M., Thenmozhi Venkatachalam, Alaaeldin Bashier, et al.. (2022). Identification of novel differentially expressed genes in type 1 diabetes mellitus complications using transcriptomic profiling of UAE patients: a multicenter study. Scientific Reports. 12(1). 16316–16316. 2 indexed citations
12.
Mussa, Bashair M., et al.. (2021). Differentiated PDGFRα-Positive Cells: A Novel In-Vitro Model for Functional Studies of Neuronal Nitric Oxide Synthase. International Journal of Molecular Sciences. 22(7). 3514–3514. 3 indexed citations
13.
Mussa, Bashair M., et al.. (2021). COVID-19 and Neurological Impairment: Hypothalamic Circuits and Beyond. Viruses. 13(3). 498–498. 28 indexed citations
14.
Mussa, Bashair M., et al.. (2020). Differential Expression of Inflammatory Markers in Hypoglycemia Unawareness Associated with Type 1 Diabetes: A Case Report. Brain Sciences. 11(1). 17–17. 3 indexed citations
15.
16.
Mussa, Bashair M., et al.. (2018). Implication of neurohormonal-coupled mechanisms of gastric emptying and pancreatic secretory function in diabetic gastroparesis. World Journal of Gastroenterology. 24(34). 3821–3833. 20 indexed citations
17.
Mussa, Bashair M., et al.. (2018). The symptoms and risk of sleep apnea among adults in the United Arab Emirates. Annals of Thoracic Medicine. 13(3). 168–168.
18.
Mussa, Bashair M., Daniela M. Sartor, Christian Rantzau, & Anthony J.M. Verberne. (2011). Effects of nitric oxide synthase blockade on dorsal vagal stimulation-induced pancreatic insulin secretion. Brain Research. 1394. 62–70. 22 indexed citations
19.
Mussa, Bashair M., Daniela M. Sartor, & Anthony J.M. Verberne. (2010). Dorsal vagal preganglionic neurons: Differential responses to CCK1 and 5-HT3 receptor stimulation. Autonomic Neuroscience. 156(1-2). 36–43. 14 indexed citations
20.
Mussa, Bashair M. & Anthony J.M. Verberne. (2007). Activation of the dorsal vagal nucleus increases pancreatic exocrine secretion in the rat. Neuroscience Letters. 433(1). 71–76. 29 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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