Mei Hong Tan

842 total citations
19 papers, 587 citations indexed

About

Mei Hong Tan is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Mei Hong Tan has authored 19 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ophthalmology, 6 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Molecular Biology. Recurrent topics in Mei Hong Tan's work include Retinal Diseases and Treatments (5 papers), Glaucoma and retinal disorders (3 papers) and Retinal Development and Disorders (3 papers). Mei Hong Tan is often cited by papers focused on Retinal Diseases and Treatments (5 papers), Glaucoma and retinal disorders (3 papers) and Retinal Development and Disorders (3 papers). Mei Hong Tan collaborates with scholars based in United Kingdom, Australia and Singapore. Mei Hong Tan's co-authors include Robin R. Ali, James Bainbridge, Jonathan E. Moore, Jagjit S. Gilhotra, Ian L. McAllister, Hoai Viet Tran, Andreas Ebneter, Weng Onn Chan, Nicholas H. Andrew and Alexander J. Smith and has published in prestigious journals such as PLoS ONE, Neurology and Ophthalmology.

In The Last Decade

Mei Hong Tan

18 papers receiving 564 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mei Hong Tan United Kingdom	12	275	251	212	78	74	19	587
George J. Harocopos United States	14	326 1.2×	224 0.9×	243 1.1×	27 0.3×	24 0.3×	51	639
Virginia Miraldi Utz United States	12	218 0.8×	194 0.8×	81 0.4×	66 0.8×	27 0.4×	33	405
David Salom Spain	15	680 2.5×	261 1.0×	193 0.9×	19 0.2×	45 0.6×	50	887
Manuel Sánchez‐Salorio Spain	16	458 1.7×	152 0.6×	319 1.5×	55 0.7×	24 0.3×	41	649
Peter Morgan-Warren United Kingdom	11	217 0.8×	156 0.6×	127 0.6×	17 0.2×	68 0.9×	27	442
Roelofje J. van der Worp Netherlands	13	334 1.2×	159 0.6×	335 1.6×	43 0.6×	17 0.2×	18	516
Anton Orlin United States	13	426 1.5×	114 0.5×	291 1.4×	19 0.2×	24 0.3×	50	618
Jan Darius Unterlauft Germany	17	626 2.3×	207 0.8×	471 2.2×	23 0.3×	24 0.3×	74	794
Antonietta Moramarco Italy	13	158 0.6×	155 0.6×	61 0.3×	44 0.6×	9 0.1×	39	473
Dawei Sun China	14	146 0.5×	114 0.5×	120 0.6×	51 0.7×	21 0.3×	63	670

Countries citing papers authored by Mei Hong Tan

Since Specialization

Citations

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

Fields of papers citing papers by Mei Hong Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei Hong Tan. 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 Mei Hong Tan. The network helps show where Mei Hong Tan may publish in the future.

Co-authorship network of co-authors of Mei Hong Tan

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

All Works

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19 of 19 papers shown

Wang, Lin, Yuanyuan He, Lu Wang, et al.. (2025). A novel de novo IL2RG nonsense mutation in a pediatric patient with X-linked severe combined immunodeficiency. Frontiers in Genetics. 16. 1641956–1641956.

Chen, Haiying, et al.. (2019). Optical coherence tomography analysis of patients with untreated diabetic macular edema. Graefe s Archive for Clinical and Experimental Ophthalmology. 258(3). 653–661. 3 indexed citations

Tan, Mei Hong, Jagjit S. Gilhotra, Henry Newland, et al.. (2016). Biochemical analysis of the living human vitreous. Clinical and Experimental Ophthalmology. 44(7). 597–609. 65 indexed citations

Tan, Mei Hong, et al.. (2016). Manganese in the human vitreous. Clinical and Experimental Ophthalmology. 44(7). 646–646. 1 indexed citations

Andrew, Nicholas H., Weng Onn Chan, Mei Hong Tan, Andreas Ebneter, & Jagjit S. Gilhotra. (2015). Modification of the Inverted Internal Limiting Membrane Flap Technique for the Treatment of Chronic and Large Macular Holes. Retina. 36(4). 834–837. 44 indexed citations

McAllister, Ian L., et al.. (2014). The Effect of Central Retinal Venous Pressure in Patients with Central Retinal Vein Occlusion and a High Mean Area of Nonperfusion. Ophthalmology. 121(11). 2228–2236. 18 indexed citations

Tan, Mei Hong, Ian L. McAllister, Nitin Verma, et al.. (2013). Randomized Controlled Trial of Intravitreal Ranibizumab Versus Standard Grid Laser for Macular Edema Following Branch Retinal Vein Occlusion. American Journal of Ophthalmology. 157(1). 237–247.e1. 54 indexed citations

Tan, Mei Hong, et al.. (2012). Recurrent Third Nerve Palsy as the Presenting Feature of Neurofibromatosis 2. Journal of Neuro-Ophthalmology. 32(4). 329–331. 9 indexed citations

Tan, Mei Hong, Donna S. Mackay, Jill A. Cowing, et al.. (2012). Leber Congenital Amaurosis Associated with AIPL1: Challenges in Ascribing Disease Causation, Clinical Findings, and Implications for Gene Therapy. PLoS ONE. 7(3). e32330–e32330. 27 indexed citations

10.

Wakerley, Benjamin R., Mei Hong Tan, & Martin R. Turner. (2012). Teaching Video Neuro Images : Acute Adie syndrome. Neurology. 79(11). e97–e97. 4 indexed citations

11.

Tan, Mei Hong, Alexander J. Smith, Basil S. Pawlyk, et al.. (2009). Gene therapy for retinitis pigmentosa and Leber congenital amaurosis caused by defects in AIPL1: effective rescue of mouse models of partial and complete Aipl1 deficiency using AAV2/2 and AAV2/8 vectors. Human Molecular Genetics. 18(12). 2099–2114. 90 indexed citations

12.

Tan, Mei Hong, et al.. (2006). Corneal Perforation Due to Severe Peripheral Ulcerative Keratitis in Crohn Disease. Cornea. 25(5). 628–630. 14 indexed citations

13.

Bainbridge, James, Mei Hong Tan, & Robin R. Ali. (2006). Gene therapy progress and prospects: the eye. Gene Therapy. 13(16). 1191–1197. 112 indexed citations

14.

Tan, Mei Hong, et al.. (2006). Use of Nerve Growth Factor to Treat Congenital Neurotrophic Corneal Ulceration. Cornea. 25(3). 352–355. 54 indexed citations

15.

Tan, Mei Hong & Kishor A. Choudhari. (2003). Penetrating head injury from an electrical plug. Injury. 34(12). 950–953. 9 indexed citations

16.

Tan, Mei Hong, et al.. (2002). Papilloedema as the sole presenting feature of Chiari I malformation. British Journal of Neurosurgery. 16(4). 398–400. 17 indexed citations

17.

Tan, Mei Hong, et al.. (2002). Cardiac compromise due to a pancreatic mediastinal pseudocyst. European Journal of Gastroenterology & Hepatology. 14(11). 1279–1282. 21 indexed citations

18.

Tan, Mei Hong, et al.. (2001). Progressive ulnar neuropathy caused by delayed migration of a foreign body. British Journal of Neurosurgery. 15(3). 263–265. 11 indexed citations

19.

Nassar, B.A., Lawrence Title, Blair J. O’Neill, et al.. (1998). Relation of HFE gene mutations, high iron stores and early onset coronary artery disease.. PubMed. 14(2). 215–20. 34 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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