Michael J. Allingham

2.1k total citations · 2 hit papers
33 papers, 1.6k citations indexed

About

Michael J. Allingham is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Michael J. Allingham has authored 33 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Ophthalmology, 19 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Molecular Biology. Recurrent topics in Michael J. Allingham's work include Retinal Diseases and Treatments (22 papers), Retinal Imaging and Analysis (15 papers) and Retinal and Optic Conditions (7 papers). Michael J. Allingham is often cited by papers focused on Retinal Diseases and Treatments (22 papers), Retinal Imaging and Analysis (15 papers) and Retinal and Optic Conditions (7 papers). Michael J. Allingham collaborates with scholars based in United States, Iran and United Kingdom. Michael J. Allingham's co-authors include Scott W. Cousins, Priyatham S. Mettu, Keith Burridge, Jaap D. van Buul, Sina Farsiu, Joseph A. Izatt, Stephanie J. Chiu, Thomas Samson, Etienne Boulter and Rafael García‐Mata and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Cell Biology and The Journal of Immunology.

In The Last Decade

Michael J. Allingham

33 papers receiving 1.6k citations

Hit Papers

Kernel regression based segmentation of optical coherence... 2015 2026 2018 2022 2015 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Allingham United States 17 799 758 447 240 222 33 1.6k
John V. Forrester United Kingdom 28 1.8k 2.3× 896 1.2× 413 0.9× 108 0.5× 428 1.9× 83 2.6k
Jingtai Cao United States 18 417 0.5× 676 0.9× 699 1.6× 25 0.1× 182 0.8× 46 1.9k
Hyewon Chung South Korea 34 2.0k 2.5× 1.3k 1.8× 675 1.5× 20 0.1× 124 0.6× 112 2.8k
Hiroto Terasaki Japan 23 1.6k 2.0× 1.2k 1.6× 315 0.7× 26 0.1× 41 0.2× 107 1.9k
Stefan Dithmar Germany 22 1.6k 2.0× 819 1.1× 545 1.2× 29 0.1× 176 0.8× 106 1.9k
Yihe Chen United States 25 316 0.4× 506 0.7× 171 0.4× 254 1.1× 400 1.8× 72 1.7k
Ryan M. Pedrigi United States 15 300 0.4× 231 0.3× 278 0.6× 32 0.1× 42 0.2× 39 801
Winston Lee United States 30 1.6k 2.0× 424 0.6× 2.0k 4.4× 107 0.4× 169 0.8× 113 2.6k
Priyatham S. Mettu United States 18 1.2k 1.5× 1.1k 1.4× 303 0.7× 11 0.0× 50 0.2× 37 1.6k
Emanuela Aragona Italy 21 827 1.0× 583 0.8× 320 0.7× 32 0.1× 53 0.2× 93 1.2k

Countries citing papers authored by Michael J. Allingham

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Allingham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Allingham. 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 Michael J. Allingham. The network helps show where Michael J. Allingham may publish in the future.

Co-authorship network of co-authors of Michael J. Allingham

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Allingham. A scholar is included among the top collaborators of Michael J. Allingham 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 Michael J. Allingham. Michael J. Allingham 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.
Hogg, Henry David Jeffry, Terry Lee, William Tucker, et al.. (2025). Deep Learning Algorithm for the Diagnosis and Prediction of Hydroxychloroquine Retinopathy. Ophthalmology Retina. 9(12). 1140–1148. 1 indexed citations
2.
Shen, Liangbo L., Mengyuan Sun, Michael J. Allingham, et al.. (2024). Association of Hyperautofluorescence Signals with Geographic Atrophy Progression in the METformin for the MINimization of Geographic Atrophy Progression Trial. Ophthalmology Science. 5(1). 100620–100620. 1 indexed citations
3.
Dow, Eliot R., Hyeon Ki Jeong, Cynthia A. Toth, et al.. (2023). A Deep-Learning Algorithm to Predict Short-Term Progression to Geographic Atrophy on Spectral-Domain Optical Coherence Tomography. JAMA Ophthalmology. 141(11). 1052–1052. 14 indexed citations
4.
Allingham, Michael J., Priyatham S. Mettu, & Scott W. Cousins. (2021). Phase 1 Clinical Trial of Elamipretide in Intermediate Age-Related Macular Degeneration and High-Risk Drusen. SHILAP Revista de lepidopterología. 2(1). 100095–100095. 21 indexed citations
5.
Mettu, Priyatham S., Michael J. Allingham, & Scott W. Cousins. (2020). Incomplete response to Anti-VEGF therapy in neovascular AMD: Exploring disease mechanisms and therapeutic opportunities. Progress in Retinal and Eye Research. 82. 100906–100906. 237 indexed citations breakdown →
6.
Mettu, Priyatham S., Michael J. Allingham, & Scott W. Cousins. (2019). Effects of the Mitochondria-Targeted Drug Elamipretide on Leakage-Independent Vision Loss in Fellow Eyes with Neovascular AMD in the ReCLAIM Study. Investigative Ophthalmology & Visual Science. 60(9). 358–358. 2 indexed citations
7.
Cousins, Scott W., Michael J. Allingham, & Priyatham S. Mettu. (2019). Elamipretide, a Mitochondria-Targeted Drug, for the Treatment of Vision Loss in Dry AMD with Noncentral Geographic Atrophy: Results of the Phase 1 ReCLAIM Study. Investigative Ophthalmology & Visual Science. 60(9). 974–974. 6 indexed citations
8.
Allingham, Michael J., Priyatham S. Mettu, & Scott W. Cousins. (2019). Elamipretide, a Mitochondrial-Targeted Drug, for the Treatment of Vision Loss in Dry AMD with High Risk Drusen: Results of the Phase 1 ReCLAIM Study. Investigative Ophthalmology & Visual Science. 60(9). 361–361. 5 indexed citations
9.
Allingham, Michael J., Priyatham S. Mettu, & Scott W. Cousins. (2019). Aldosterone as a mediator of severity in retinal vascular disease: Evidence and potential mechanisms. Experimental Eye Research. 188. 107788–107788. 14 indexed citations
10.
Wilkinson‐Berka, Jennifer L., et al.. (2019). Angiotensin II and aldosterone in retinal vasculopathy and inflammation. Experimental Eye Research. 187. 107766–107766. 37 indexed citations
11.
Mettu, Priyatham S., Michael J. Allingham, PETER C. NICHOLAS, & Scott W. Cousins. (2017). Adjunctive Indocyanine Green Angiography-Directed Verteporfin Photodynamic Therapy for the Treatment of Persistent Disease Activity in Neovascular AMD. Investigative Ophthalmology & Visual Science. 58(8). 1931–1931. 1 indexed citations
12.
Allingham, Michael J., Dibyendu Mukherjee, Hossein Rabbani, et al.. (2017). A Quantitative Approach to Predict Differential Effects of Anti-VEGF Treatment on Diffuse and Focal Leakage in Patients with Diabetic Macular Edema: A Pilot Study. Translational Vision Science & Technology. 6(2). 7–7. 33 indexed citations
13.
Mettu, Priyatham S., Michael J. Allingham, PETER C. NICHOLAS, & Scott W. Cousins. (2016). Neovascular Morphology by ICG Angiography and Response to Loading-Dose Anti-VEGF Therapy in Patients with Neovascular AMD. Investigative Ophthalmology & Visual Science. 57(12). 2 indexed citations
14.
Allingham, Michael J., Dibyendu Mukherjee, Hossein Rabbani, et al.. (2016). A quantitative approach to predict differential effects of anti-VEGF treatment on diffuse and focal leakage in patients with diabetic macular edema.. Investigative Ophthalmology & Visual Science. 57(12). 2076–2076. 1 indexed citations
15.
Allingham, Michael J., Qing Nie, Eleonora M. Lad, et al.. (2015). Robust, easy-to-use, semiautomated software quantifies lesion rim area hyperautofluorescence and predicts progression of geographic atrophy.. Investigative Ophthalmology & Visual Science. 56(7). 2829–2829. 1 indexed citations
16.
Zhang, Wenlan, PETER C. NICHOLAS, Stefanie Schuman, et al.. (2015). Screening for Diabetic Retinopathy Using the Hand-Held PICTOR Camera. Investigative Ophthalmology & Visual Science. 56(7). 1426–1426. 2 indexed citations
17.
Rabbani, Hossein, Michael J. Allingham, Pradeep Mettu, Scott W. Cousins, & Sina Farsiu. (2015). Fully Automatic Segmentation of Fluorescein Leakage in Subjects With Diabetic Macular Edema. Investigative Ophthalmology & Visual Science. 56(3). 1482–1492. 54 indexed citations
18.
Allingham, Michael J., Michelle T. Cabrera, Rachelle V. O’Connell, et al.. (2013). Racial variation in optic nerve head parameters quantified in healthy newborns by handheld spectral domain optical coherence tomography. Journal of American Association for Pediatric Ophthalmology and Strabismus. 17(5). 501–506. 20 indexed citations
19.
Buul, Jaap D. van, Michael J. Allingham, Thomas Samson, et al.. (2007). RhoG regulates endothelial apical cup assembly downstream from ICAM1 engagement and is involved in leukocyte trans-endothelial migration. The Journal of Cell Biology. 178(7). 1279–1293. 177 indexed citations
20.
Allingham, Michael J., Jaap D. van Buul, & Keith Burridge. (2007). ICAM-1-Mediated, Src- and Pyk2-Dependent Vascular Endothelial Cadherin Tyrosine Phosphorylation Is Required for Leukocyte Transendothelial Migration. The Journal of Immunology. 179(6). 4053–4064. 270 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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