Tayyeba K. Ali

904 total citations
17 papers, 696 citations indexed

About

Tayyeba K. Ali is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Tayyeba K. Ali has authored 17 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ophthalmology, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Molecular Biology. Recurrent topics in Tayyeba K. Ali's work include Retinal Diseases and Treatments (5 papers), Intraocular Surgery and Lenses (4 papers) and Glaucoma and retinal disorders (4 papers). Tayyeba K. Ali is often cited by papers focused on Retinal Diseases and Treatments (5 papers), Intraocular Surgery and Lenses (4 papers) and Glaucoma and retinal disorders (4 papers). Tayyeba K. Ali collaborates with scholars based in United States, Germany and India. Tayyeba K. Ali's co-authors include Azza B. El‐Remessy, Bindu Pillai, Allister Gibbons, Suraporn Matragoon, Gregory I. Liou, Mohammed Abdelsaid, S. Matragoon, Mohammed M.H. Al-Gayyar, Daniel Waren and Kendall E. Donaldson and has published in prestigious journals such as Circulation, Diabetes and Ophthalmology.

In The Last Decade

Tayyeba K. Ali

17 papers receiving 673 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tayyeba K. Ali United States 12 317 208 178 140 102 17 696
Veronica Asnaghi United States 8 407 1.3× 364 1.8× 129 0.7× 269 1.9× 88 0.9× 14 938
Carmen Desco Spain 12 335 1.1× 163 0.8× 219 1.2× 68 0.5× 88 0.9× 31 653
Annal D. Meleth United States 12 713 2.2× 362 1.7× 402 2.3× 52 0.4× 45 0.4× 16 1.1k
Hongjun Du China 15 334 1.1× 426 2.0× 151 0.8× 31 0.2× 28 0.3× 36 758
Caroline Manicam Germany 16 198 0.6× 203 1.0× 62 0.3× 34 0.2× 75 0.7× 41 521
Shingo Nemoto Japan 10 194 0.6× 179 0.9× 100 0.6× 35 0.3× 94 0.9× 21 475
Zhilan Yuan China 13 223 0.7× 196 0.9× 136 0.8× 46 0.3× 24 0.2× 33 509
Sophia I. Pachydaki United States 9 286 0.9× 273 1.3× 112 0.6× 347 2.5× 50 0.5× 17 700
Leslie C. MacGregor United States 9 112 0.4× 168 0.8× 51 0.3× 75 0.5× 72 0.7× 14 469
Xu Zha China 9 120 0.4× 365 1.8× 54 0.3× 33 0.2× 51 0.5× 24 644

Countries citing papers authored by Tayyeba K. Ali

Since Specialization
Citations

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

Fields of papers citing papers by Tayyeba K. Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tayyeba K. Ali. 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 Tayyeba K. Ali. The network helps show where Tayyeba K. Ali may publish in the future.

Co-authorship network of co-authors of Tayyeba K. Ali

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

All Works

17 of 17 papers shown
1.
Praveen, Pradeep A., Arthur Brant, Xiang Yin, et al.. (2025). Validation of a Deep Learning Model for Diabetic Retinopathy on Patients with Young-Onset Diabetes. Ophthalmology and Therapy. 14(5). 1147–1155. 2 indexed citations
2.
Schaekermann, Mike, Naama Hammel, Michael Terry, et al.. (2019). Remote Tool-Based Adjudication for Grading Diabetic Retinopathy. Translational Vision Science & Technology. 8(6). 40–40. 14 indexed citations
3.
Sallam, Ahmed B., et al.. (2018). A Review of Antimicrobial Therapy for Infectious Uveitis of the Posterior Segment.. PubMed. 7(4). 140–155. 11 indexed citations
4.
Ali, Tayyeba K., Allister Gibbons, Cristián Cartes, et al.. (2018). Use of Autologous Serum Tears for the Treatment of Ocular Surface Disease From Patients With Systemic Autoimmune Diseases. American Journal of Ophthalmology. 189. 65–70. 26 indexed citations
5.
Perez, Victor L., Ella H. Leung, Audina M. Berrocal, et al.. (2017). Impact of Total Pars Plana Vitrectomy on Postoperative Complications in Aphakic, Snap-On, Type 1 Boston Keratoprosthesis. Ophthalmology. 124(10). 1504–1509. 15 indexed citations
6.
Gibbons, Allister, Tayyeba K. Ali, Daniel Waren, & Kendall E. Donaldson. (2016). Causes and correction of dissatisfaction after implantation of presbyopia-correcting intraocular lenses. Clinical ophthalmology. Volume 10. 1965–1970. 87 indexed citations
7.
Ali, Tayyeba K., Guillermo Amescua, Darlene Miller, et al.. (2015). Contact-Lens-Associated Purpureocillium Keratitis: Risk Factors, Microbiologic Characteristics, Clinical Course, and Outcomes. Seminars in Ophthalmology. 32(2). 157–162. 14 indexed citations
8.
Ali, Tayyeba K., et al.. (2014). Psychomotor Vigilance and Visual Field Test Performance. Seminars in Ophthalmology. 30(4). 289–296. 7 indexed citations
9.
Ali, Tayyeba K.. (2013). Anterior Segment Manifestations of Microscopic Polyangiitis. s4(1). 1 indexed citations
10.
Al-Gayyar, Mohammed M.H., S. Matragoon, Bindu Pillai, et al.. (2010). Epicatechin blocks pro-nerve growth factor (proNGF)-mediated retinal neurodegeneration via inhibition of p75 neurotrophin receptor proNGF expression in a rat model of diabetes. Diabetologia. 54(3). 669–680. 66 indexed citations
11.
Ali, Tayyeba K., Mohammed M.H. Al-Gayyar, S. Matragoon, et al.. (2010). Diabetes-induced peroxynitrite impairs the balance of pro-nerve growth factor and nerve growth factor, and causes neurovascular injury. Diabetologia. 54(3). 657–668. 101 indexed citations
12.
Ali, Tayyeba K. & Azza B. El‐Remessy. (2009). Diabetic Retinopathy: Current Management and Experimental Therapeutic Targets. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 29(2). 182–192. 46 indexed citations
13.
Drel, Viktor R., Weizheng Xu, Jie Zhang, et al.. (2009). Poly(ADP-Ribose)Polymerase Inhibition Counteracts Cataract Formation and Early Retinal Changes in Streptozotocin-Diabetic Rats. Investigative Ophthalmology & Visual Science. 50(4). 1778–1778. 56 indexed citations
14.
Drel, Viktor R., Pál Pacher, Tayyeba K. Ali, et al.. (2008). Aldose reductase inhibitor fidarestat counteracts diabetes-associated cataract formation, retinal oxidative-nitrosative stress, glial activation, and apoptosis.. PubMed. 21(6). 667–76. 68 indexed citations
15.
Ali, Tayyeba K., Suraporn Matragoon, Bindu Pillai, Gregory I. Liou, & Azza B. El‐Remessy. (2008). Peroxynitrite Mediates Retinal Neurodegeneration by Inhibiting Nerve Growth Factor Survival Signaling in Experimental and Human Diabetes. Diabetes. 57(4). 889–898. 139 indexed citations
16.
Drel, Viktor R., Pál Pacher, Tayyeba K. Ali, et al.. (2008). Aldose reductase inhibitor fidarestat counteracts diabetes-associated cataract formation, retinal oxidative-nitrosative stress, glial activation, and apoptosis. International Journal of Molecular Medicine. 40 indexed citations
17.
El‐Remessy, Azza B., Huda E. Tawfik, Suraporn Matragoon, et al.. (2006). Abstract 1692: Peroxynitrite Mediates Diabetes-induced Endothelial Dysfunction by Reducing eNOS Expression: Possible Role of Rho Kinase (ROCK) Activation. Circulation. 114. 3 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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