Johnny Tam

1.9k total citations
54 papers, 1.5k citations indexed

About

Johnny Tam is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Johnny Tam has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Ophthalmology, 26 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Molecular Biology. Recurrent topics in Johnny Tam's work include Retinal Imaging and Analysis (23 papers), Retinal Diseases and Treatments (22 papers) and Ophthalmology and Visual Impairment Studies (14 papers). Johnny Tam is often cited by papers focused on Retinal Imaging and Analysis (23 papers), Retinal Diseases and Treatments (22 papers) and Ophthalmology and Visual Impairment Studies (14 papers). Johnny Tam collaborates with scholars based in United States, Spain and Hong Kong. Johnny Tam's co-authors include Austin Roorda, Jianfei Liu, Joy Martin, Pavan Tiruveedhula, David Merino, Alfredo Dubra, Kavita Dhamdhere, Marcus A. Bearse, Anthony J. Adams and Robert N. Fariss and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Johnny Tam

51 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johnny Tam United States 21 873 646 405 385 239 54 1.5k
Kate Grieve France 26 627 0.7× 774 1.2× 1.2k 3.0× 314 0.8× 622 2.6× 97 2.0k
Yifan Jian United States 24 859 1.0× 739 1.1× 883 2.2× 185 0.5× 279 1.2× 96 1.5k
Ravi S. Jonnal United States 23 1.4k 1.6× 1.0k 1.6× 1.1k 2.7× 585 1.5× 287 1.2× 63 2.1k
Masahiro Miura Japan 30 1.9k 2.1× 1.5k 2.3× 1.4k 3.4× 273 0.7× 273 1.1× 119 2.6k
R. Daniel Ferguson United States 29 1.1k 1.3× 1.1k 1.6× 950 2.3× 258 0.7× 227 0.9× 94 1.8k
Boris Hermann Austria 18 734 0.8× 700 1.1× 967 2.4× 169 0.4× 284 1.2× 32 1.4k
Julie Albon United Kingdom 23 1.1k 1.2× 1.0k 1.6× 127 0.3× 375 1.0× 16 0.1× 48 1.7k
Iwona Gorczyńska Poland 27 1.5k 1.7× 1.5k 2.3× 1.8k 4.4× 202 0.5× 363 1.5× 65 2.6k
Jean‐François Le Gargasson France 12 538 0.6× 493 0.8× 176 0.4× 165 0.4× 101 0.4× 21 951
Dirk-Uwe Bartsch United States 23 1.2k 1.4× 817 1.3× 149 0.4× 262 0.7× 32 0.1× 49 1.5k

Countries citing papers authored by Johnny Tam

Since Specialization
Citations

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

Fields of papers citing papers by Johnny Tam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johnny Tam. 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 Johnny Tam. The network helps show where Johnny Tam may publish in the future.

Co-authorship network of co-authors of Johnny Tam

This figure shows the co-authorship network connecting the top 25 collaborators of Johnny Tam. A scholar is included among the top collaborators of Johnny Tam 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 Johnny Tam. Johnny Tam 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.
Li, Joanne, Jianfei Liu, Vineeta Das, et al.. (2025). Artificial intelligence assisted clinical fluorescence imaging achieves in vivo cellular resolution comparable to adaptive optics ophthalmoscopy. Communications Medicine. 5(1). 105–105. 1 indexed citations
2.
3.
Das, Vineeta, Furu Zhang, Andrew J. Bower, et al.. (2024). Revealing speckle obscured living human retinal cells with artificial intelligence assisted adaptive optics optical coherence tomography. SHILAP Revista de lepidopterología. 4(1). 68–68. 7 indexed citations
4.
Liu, Jianfei, et al.. (2022). Hybrid transformer for lesion segmentation on adaptive optics retinal images. 92–92. 1 indexed citations
5.
Liu, Jianfei, Catherine A. Cukras, Robert B. Hufnagel, et al.. (2021). Active Cell Appearance Model Induced Generative Adversarial Networks for Annotation-Efficient Cell Segmentation and Identification on Adaptive Optics Retinal Images. IEEE Transactions on Medical Imaging. 40(10). 2820–2831. 14 indexed citations
6.
Lu, Rongwen, Tao Liu, Jianfei Liu, et al.. (2021). In-vivo sub-diffraction adaptive optics imaging of photoreceptors in the human eye with annular pupil illumination and sub-Airy detection. Optica. 8(3). 333–333. 21 indexed citations
7.
Liu, Tao, Andrew J. Bower, Jianfei Liu, et al.. (2021). High-resolution imaging of cone photoreceptors and retinal pigment epithelial cells in Chediak-Higashi Syndrome. Investigative Ophthalmology & Visual Science. 62(8). 1903–1903. 1 indexed citations
8.
Giannini, John, et al.. (2021). Adaptive optics retinal imaging with deep learning cone segmentation enables area-based analysis in RHO-associated retinitis pigmentosa. Investigative Ophthalmology & Visual Science. 62(8). 1805–1805. 1 indexed citations
9.
Bower, Andrew J., Tao Liu, Joanne Li, et al.. (2021). Integrating adaptive optics-SLO and OCT for multimodal visualization of the human retinal pigment epithelial mosaic. Biomedical Optics Express. 12(3). 1449–1449. 27 indexed citations
10.
Liu, Jianfei, et al.. (2020). Spatially Aware Dense-LinkNet Based Regression Improves Fluorescent Cell Detection in Adaptive Optics Ophthalmic Images. IEEE Journal of Biomedical and Health Informatics. 24(12). 3520–3528. 8 indexed citations
11.
Liu, Jianfei, Tao Liu, Aman George, et al.. (2019). Longitudinal adaptive optics fluorescence microscopy reveals cellular mosaicism in patients. JCI Insight. 4(6). 22 indexed citations
12.
Liu, Tao, et al.. (2018). Combining multimodal adaptive optics imaging and angiography improves visualization of human eyes with cellular-level resolution. Communications Biology. 1(1). 189–189. 18 indexed citations
13.
Liu, Jianfei, et al.. (2017). Accurate Correspondence of Cone Photoreceptor Neurons in the Human Eye Using Graph Matching Applied to Longitudinal Adaptive Optics Images. Lecture notes in computer science. 10434. 153–161. 6 indexed citations
14.
Liu, Jianfei, Catherine A. Cukras, & Johnny Tam. (2016). Quantitative Analysis of Photoreceptor Swelling in Late-Onset Retinal Degeneration Using Adaptive Optics. Investigative Ophthalmology & Visual Science. 57(12). 3168–3168. 3 indexed citations
15.
Tam, Johnny & David Merino. (2015). Stochastic optical reconstruction microscopy (STORM) in comparison with stimulated emission depletion (STED) and other imaging methods. Journal of Neurochemistry. 135(4). 643–658. 93 indexed citations
16.
Tam, Johnny, et al.. (2014). A Microfluidic Platform for Correlative Live-Cell and Super-Resolution Microscopy. PLoS ONE. 9(12). e115512–e115512. 37 indexed citations
17.
Roorda, Austin, Brandon J. Lujan, Kavitha Ratnam, et al.. (2013). Microscopic Retinal Structure in Macular Telangiectasia. Investigative Ophthalmology & Visual Science. 54(15). 3606–3606. 1 indexed citations
18.
Tam, Johnny, Kavita Dhamdhere, Pavan Tiruveedhula, et al.. (2012). Subclinical Capillary Changes in Non-Proliferative Diabetic Retinopathy. Optometry and Vision Science. 89(5). E692–E703. 89 indexed citations
19.
Tam, Johnny, Pavan Tiruveedhula, & Austin Roorda. (2010). Leukocyte Dynamics in Parafoveal Capillaries Using AOSLO. Investigative Ophthalmology & Visual Science. 51(13). 2329–2329. 1 indexed citations
20.
Lam, Veronica, et al.. (1988). Genomic sequence of a Sprague - Dawley rat β-globin gene. Nucleic Acids Research. 16(5). 2342–2342. 10 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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