Ahmed M. Khalid

543 total citations
19 papers, 439 citations indexed

About

Ahmed M. Khalid is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Physiology. According to data from OpenAlex, Ahmed M. Khalid has authored 19 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 4 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in Ahmed M. Khalid's work include Cardiovascular Function and Risk Factors (6 papers), Adipose Tissue and Metabolism (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). Ahmed M. Khalid is often cited by papers focused on Cardiovascular Function and Risk Factors (6 papers), Adipose Tissue and Metabolism (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). Ahmed M. Khalid collaborates with scholars based in Norway, United States and United Kingdom. Ahmed M. Khalid's co-authors include Terje S. Larsen, Ellen Aasum, Anne D. Hafstad, Ole-Jakob How, Rolf K. Berge, Neoma T. Boardman, Kieran Clarke, Jim Lund, Trine Meldgaard Lund and Ulrik Wisløff and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physiology and Journal of Nutrition.

In The Last Decade

Ahmed M. Khalid

18 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ahmed M. Khalid Norway 10 237 167 161 58 58 19 439
Yukihiro Ohta Japan 7 147 0.6× 160 1.0× 179 1.1× 64 1.1× 20 0.3× 7 426
Jim Lund Norway 9 179 0.8× 60 0.4× 142 0.9× 97 1.7× 26 0.4× 12 364
David Hauton United Kingdom 10 162 0.7× 134 0.8× 163 1.0× 19 0.3× 16 0.3× 14 338
Young-Kwon Kim South Korea 8 198 0.8× 162 1.0× 47 0.3× 27 0.5× 24 0.4× 12 366
Daniele Mendes Guizoni Brazil 15 256 1.1× 141 0.8× 174 1.1× 86 1.5× 12 0.2× 30 521
Kristina Selthofer-Relatić Croatia 11 248 1.0× 84 0.5× 97 0.6× 13 0.2× 49 0.8× 39 528
Rebecca A. Redetzke United States 12 140 0.6× 172 1.0× 54 0.3× 30 0.5× 35 0.6× 15 440
S. V. Mesaros United States 10 201 0.8× 176 1.1× 304 1.9× 14 0.2× 39 0.7× 14 651
Shuzo Ohata Japan 12 209 0.9× 44 0.3× 83 0.5× 18 0.3× 30 0.5× 16 353
A. J. G. Riegger Germany 12 384 1.6× 141 0.8× 58 0.4× 29 0.5× 40 0.7× 28 534

Countries citing papers authored by Ahmed M. Khalid

Since Specialization
Citations

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

Fields of papers citing papers by Ahmed M. Khalid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahmed M. Khalid

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

All Works

19 of 19 papers shown
1.
2.
Khalid, Ahmed M., et al.. (2023). Stress levels among pre-clinical Medical students and their coping strategies. SHILAP Revista de lepidopterología. 14(1). 1 indexed citations
3.
4.
Sami, Waqas, et al.. (2022). The Study of Learning Styles among Medical Students at Majmaah University, Saudi Arabia. Journal for Educators Teachers and Trainers. 13(4). 1 indexed citations
5.
Sadiq, Noman, et al.. (2021). Effect of Wii-habilitation and constraint induced movement therapy on improving quality of life in stroke survivors. Rawal Medical Journal. 46(1). 220–223. 1 indexed citations
6.
Khalid, Ahmed M., et al.. (2021). Perceptions of medical students in Pakistan, KSA, and the US regarding the significance of case-based learning. Journal of Taibah University Medical Sciences. 16(3). 344–349. 5 indexed citations
7.
Khalid, Ahmed M., et al.. (2021). Seroprevalence of COVID-19 and associated factors in a medical institution in Pakistan. Journal of Taibah University Medical Sciences. 16(4). 619–623. 1 indexed citations
8.
Khalid, Ahmed M., et al.. (2017). Pre-service Teachers’ Perception of their Educational Preparation. 41(1). 273–303. 3 indexed citations
9.
Rajaguru, Gulasekaran, et al.. (2017). The determinants of women's empowerment in Pakistan: The role of household formation and employment. Bond University Research Portal (Bond University). 1 indexed citations
10.
Höper, Anje Christina, Ahmed M. Khalid, Anne D. Hafstad, et al.. (2013). Oil from the marine zooplanktonCalanus finmarchicusimproves the cardiometabolic phenotype of diet-induced obese mice. British Journal Of Nutrition. 110(12). 2186–2193. 33 indexed citations
11.
Höper, Anje Christina, Anne D. Hafstad, Jim Lund, et al.. (2013). Wax Esters from the Marine Copepod Calanus finmarchicus Reduce Diet-Induced Obesity and Obesity-Related Metabolic Disorders in Mice. Journal of Nutrition. 144(2). 164–169. 33 indexed citations
12.
Khalid, Ahmed M., Anne D. Hafstad, Terje S. Larsen, et al.. (2011). Cardioprotective effect of the PPAR ligand tetradecylthioacetic acid in type 2 diabetic mice. American Journal of Physiology-Heart and Circulatory Physiology. 300(6). H2116–H2122. 11 indexed citations
13.
Hafstad, Anne D., Neoma T. Boardman, Jim Lund, et al.. (2011). High intensity interval training alters substrate utilization and reduces oxygen consumption in the heart. Journal of Applied Physiology. 111(5). 1235–1241. 82 indexed citations
14.
Hafstad, Anne D., Ahmed M. Khalid, Kieran Clarke, et al.. (2009). Administration of tetradecylthioacetic acid (TTA) stimulates myocardial fatty acid oxidation despite having a lipid-lowering effect. Duo Research Archive (University of Oslo). 40 indexed citations
15.
Hafstad, Anne D., Ahmed M. Khalid, Trine Meldgaard Lund, et al.. (2009). Cardiac peroxisome proliferator-activated receptor-α activation causes increased fatty acid oxidation, reducing efficiency and post-ischaemic functional loss. Cardiovascular Research. 83(3). 519–526. 54 indexed citations
16.
How, Ole-Jakob, Terje S. Larsen, Anne D. Hafstad, et al.. (2007). Rosiglitazone treatment improves cardiac efficiency in hearts from diabetic mice. Archives of Physiology and Biochemistry. 113(4-5). 211–220. 50 indexed citations
17.
Khalid, Ahmed M., et al.. (2007). Standard of growth and obesity for Saudi children (Aged 3-18 years) living at high altitudes. West African Journal of Medicine. 25(1). 42–51. 10 indexed citations
18.
Hafstad, Anne D., Ahmed M. Khalid, Ole-Jakob How, Terje S. Larsen, & Ellen Aasum. (2007). Glucose and insulin improve cardiac efficiency and postischemic functional recovery in perfused hearts from type 2 diabetic (db/db) mice. American Journal of Physiology-Endocrinology and Metabolism. 292(5). E1288–E1294. 61 indexed citations
19.
Aasum, Ellen, Ahmed M. Khalid, Oddrun Anita Gudbrandsen, et al.. (2007). Fenofibrate modulates cardiac and hepatic metabolism and increases ischemic tolerance in diet-induced obese mice. Journal of Molecular and Cellular Cardiology. 44(1). 201–209. 50 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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