Michael J. Heiferman

873 total citations
42 papers, 603 citations indexed

About

Michael J. Heiferman is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Michael J. Heiferman has authored 42 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Ophthalmology, 21 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Oncology. Recurrent topics in Michael J. Heiferman's work include Retinal Diseases and Treatments (17 papers), Retinal Imaging and Analysis (17 papers) and Retinal and Optic Conditions (10 papers). Michael J. Heiferman is often cited by papers focused on Retinal Diseases and Treatments (17 papers), Retinal Imaging and Analysis (17 papers) and Retinal and Optic Conditions (10 papers). Michael J. Heiferman collaborates with scholars based in United States, Taiwan and Saudi Arabia. Michael J. Heiferman's co-authors include Amani A. Fawzi, Paul J. Grippo, Hidayatullah G. Munshi, David J. Bentrem, Seth B. Krantz, Surabhi Dangi‐Garimella, Morgan R. Barron, Mario A. Shields, Eric C. Cheon and Joseph D. Phillips and has published in prestigious journals such as PLoS ONE, Cancer Research and Gut.

In The Last Decade

Michael J. Heiferman

35 papers receiving 591 citations

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. Heiferman United States 11 208 181 172 117 105 42 603
Vanessa Morales-Tirado United States 11 112 0.5× 105 0.6× 223 1.3× 45 0.4× 90 0.9× 26 540
Dong Fang China 10 107 0.5× 109 0.6× 303 1.8× 86 0.7× 95 0.9× 35 526
Lei Xi China 13 228 1.1× 100 0.6× 504 2.9× 88 0.8× 311 3.0× 32 870
Isabelle Aubry Canada 13 62 0.3× 43 0.2× 233 1.4× 42 0.4× 43 0.4× 26 468
Neora Yaal‐Hahoshen Israel 10 388 1.9× 33 0.2× 240 1.4× 27 0.2× 149 1.4× 17 697
Shih-Hwa Chiou Taiwan 12 95 0.5× 56 0.3× 274 1.6× 68 0.6× 59 0.6× 18 450
Kahsai Beraki Norway 9 233 1.1× 19 0.1× 195 1.1× 54 0.5× 81 0.8× 20 573
Xiaoping He United States 10 255 1.2× 22 0.1× 327 1.9× 21 0.2× 111 1.1× 28 560
Tomohisa Sakaue Japan 13 91 0.4× 24 0.1× 287 1.7× 16 0.1× 78 0.7× 41 570

Countries citing papers authored by Michael J. Heiferman

Since Specialization
Citations

This map shows the geographic impact of Michael J. Heiferman'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. Heiferman 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. Heiferman more than expected).

Fields of papers citing papers by Michael J. Heiferman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Heiferman. A scholar is included among the top collaborators of Michael J. Heiferman 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. Heiferman. Michael J. Heiferman 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.
Gupta, Pulkit, et al.. (2025). The Effect of Experience on Visual Search Patterns in Retinal Imaging Analysis. Ophthalmic surgery, lasers & imaging retina. 56(6). 336–344.
2.
Chadwick, Wayne, et al.. (2025). Clinical Applications of Artificial Intelligence in Uveal Melanoma. Anticancer Research. 45(11). 4669–4681.
3.
Roy, Priti Kumar, Jennifer I. Lim, William F. Mieler, et al.. (2025). Proliferative diabetic retinopathy subtypes defined by immune defense and endothelial mitochondrial dysfunction. Signal Transduction and Targeted Therapy. 10(1). 350–350. 1 indexed citations
4.
Son, Taeyoon, et al.. (2025). OCTA-ReVA + AV : an open-source toolbox for retinal artery–vein segmentation and analysis in OCT angiography. Biomedical Optics Express. 16(11). 4689–4689. 1 indexed citations
5.
Zeng, Yushun, Taeyoon Son, Michael J. Heiferman, et al.. (2024). Integrating a Fundus Camera with High-Frequency Ultrasound for Precise Ocular Lesion Assessment. Biosensors. 14(3). 127–127. 2 indexed citations
6.
Yi, Darvin, et al.. (2024). Automated segmentation for early detection of uveal melanoma. Canadian Journal of Ophthalmology. 59(6). e784–e791. 4 indexed citations
7.
Le, David, et al.. (2024). Differential artery-vein analysis improves the OCTA classification of diabetic retinopathy. Biomedical Optics Express. 15(6). 3889–3889. 6 indexed citations
8.
9.
Son, Taeyoon, et al.. (2024). Multispectral Fundus Photography of Choroidal Nevi With Trans-Palpebral Illumination. Translational Vision Science & Technology. 13(3). 25–25. 3 indexed citations
10.
Le, David, et al.. (2024). OCTA-ReVA: an open-source toolbox for comprehensive retinal vessel feature analysis in optical coherence tomography angiography. Biomedical Optics Express. 15(10). 6010–6010. 4 indexed citations
11.
Le, David, et al.. (2024). Differential Capillary and Large Vessel Analysis Improves OCTA Classification of Diabetic Retinopathy. Investigative Ophthalmology & Visual Science. 65(10). 20–20. 8 indexed citations
12.
Son, Taeyoon, et al.. (2023). Preserving polarization maintaining photons for enhanced contrast imaging of the retina. Biomedical Optics Express. 14(11). 5932–5932. 5 indexed citations
13.
Le, David, et al.. (2023). Portable widefield fundus camera with high dynamic range imaging capability. Biomedical Optics Express. 14(2). 906–906. 13 indexed citations
14.
Son, Taeyoon, Devrım Toslak, David Le, et al.. (2023). Evaluating spatial dependency of the spectral efficiency in trans-palpebral illumination for widefield fundus photography. Biomedical Optics Express. 14(11). 5629–5629. 5 indexed citations
15.
Heiferman, Michael J. & Amani A. Fawzi. (2016). Discordance between Blue-Light Autofluorescence and Near-Infrared Autofluorescence in Age-Related Macular Degeneration. Investigative Ophthalmology & Visual Science. 57(12). 25–25. 2 indexed citations
16.
Gounaris, Elias, Michael J. Heiferman, Dominic Vitello, et al.. (2015). Zileuton, 5-Lipoxygenase Inhibitor, Acts as a Chemopreventive Agent in Intestinal Polyposis, by Modulating Polyp and Systemic Inflammation. PLoS ONE. 10(3). e0121402–e0121402. 37 indexed citations
17.
Grippo, Paul J., David J. Bentrem, Laleh G. Melstrom, et al.. (2012). Concurrent PEDF deficiency and Kras mutation induce invasive pancreatic cancer and adipose-rich stroma in mice. Gut. 61(10). 1454–1464. 63 indexed citations
18.
Cheon, Eric C., Khashayarsha Khazaie, Mohammad W. Khan, et al.. (2011). Mast Cell 5-Lipoxygenase Activity Promotes Intestinal Polyposis in APCΔ468 Mice. Cancer Research. 71(5). 1627–1636. 73 indexed citations
19.
Cheon, Eric C., Matthew J. Strouch, Seth B. Krantz, Michael J. Heiferman, & David J. Bentrem. (2011). Genetic Deletion of 5-Lipoxygenase Increases Tumor-Infiltrating Macrophages in ApcΔ468 Mice. Journal of Gastrointestinal Surgery. 16(2). 389–393. 7 indexed citations
20.
Dangi‐Garimella, Surabhi, Seth B. Krantz, Morgan R. Barron, et al.. (2010). Three-Dimensional Collagen I Promotes Gemcitabine Resistance in Pancreatic Cancer through MT1-MMP–Mediated Expression of HMGA2. Cancer Research. 71(3). 1019–1028. 142 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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