Citations per year, relative to Larry Kagemann Larry Kagemann (= 1×)
peers
Gadi Wollstein
Countries citing papers authored by Larry Kagemann
Since
Specialization
Citations
This map shows the geographic impact of Larry Kagemann'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 Larry Kagemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Larry Kagemann more than expected).
This network shows the impact of papers produced by Larry Kagemann. 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 Larry Kagemann. The network helps show where Larry Kagemann may publish in the future.
Co-authorship network of co-authors of Larry Kagemann
This figure shows the co-authorship network connecting the top 25 collaborators of Larry Kagemann.
A scholar is included among the top collaborators of Larry Kagemann 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 Larry Kagemann. Larry Kagemann is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Komáromy, András M., Douglas W Esson, Ronald L. Fellman, et al.. (2019). The future of canine glaucoma therapy. Veterinary Ophthalmology. 22(5). 726–740.45 indexed citations
Sigal, Ian A., Matthew A. Smith, Larry Kagemann, et al.. (2016). High-resolution mapping of in-vivo stretch and compression of the lamina cribrosa in response to acute changes in intraocular and/or intracranial pressures. Investigative Ophthalmology & Visual Science. 57(12).
5.
Sigal, Ian A., Ning‐Jiun Jan, Richard A. Bilonick, et al.. (2015). A microstructural basis for nonlinear effects of IOP on the lamina cribrosa and sclera. Investigative Ophthalmology & Visual Science. 56(7). 4821–4821.2 indexed citations
6.
Sigal, Ian A., J. Grimm, Ning‐Jiun Jan, et al.. (2014). Order In The Chaos: Regions Of Highly Aligned Radial Collagen Fibers In The Peripapillary Sclera (PPS). Investigative Ophthalmology & Visual Science. 55(13). 4257–4257.2 indexed citations
7.
Wang, Bo, Zach Nadler, Jessica E. Nevins, et al.. (2013). Automated segmentation of the in-vivo lamina cribrosa (LC) imaged using 3D optical coherence tomography (OCT). Investigative Ophthalmology & Visual Science. 54(15). 5499–5499.1 indexed citations
8.
Sigal, Ian A., J. Grimm, Ning‐Jiun Jan, et al.. (2013). IOP Elevation Reduces the Waviness of the Load Bearing Collagen Fibers in the Lamina Cribrosa. Investigative Ophthalmology & Visual Science. 54(15). 3158–3158.4 indexed citations
9.
Folio, Lindsey S., Gadi Wollstein, Hiroshi Ishikawa, et al.. (2010). Variation in Signal Quality as an Indicator of Retinal Nerve Fiber Layer (RNFL) Segmentation Error Using Optical Coherence Tomography (OCT). Investigative Ophthalmology & Visual Science. 51(13). 4402–4402.1 indexed citations
10.
Ishikawa, Hiroshi, David Tolliver, Gadi Wollstein, et al.. (2009). Shape Context Algorithm Applied to Correct Eye Movement Artifacts on Three-Dimensional (3D) Spectral Domain Optical Coherence Tomography (SD-OCT). Investigative Ophthalmology & Visual Science. 50(13). 1104–1104.6 indexed citations
11.
Ishikawa, Hiroshi, Thomas R. Friberg, Gadi Wollstein, et al.. (2008). Spectral Domain OCT Image Enhancement With Segmentation-Free Contour Modeling C-Mode. Investigative Ophthalmology & Visual Science. 49(13). 1886–1886.1 indexed citations
12.
Harris, Alon, Larry Kagemann, Brent Siesky, et al.. (2006). Correlation of Retinal Oxygen Saturation With Retrobulbar Blood Flow With in Patients Primary Open Angle Glaucoma. Investigative Ophthalmology & Visual Science. 47(13). 4785–4785.1 indexed citations
13.
Kagemann, Larry, Alon Harris, Brent Siesky, et al.. (2005). The Analytic and 12–Month Biological Variability of Retinal Oximetry Measurements in Patients With Non–Neovascular Age Related Macular Degeneration. Investigative Ophthalmology & Visual Science. 46(13). 1574–1574.1 indexed citations
14.
Harris, Alon, et al.. (2004). The Effect of Cosopt Therapy on Ocular Hemodynamics in Primary Open Angle Glaucoma. Investigative Ophthalmology & Visual Science. 45(13). 2114–2114.
15.
Harris, Alon, et al.. (2004). Baseline Arterial Blood Saturation is Predictive of Venous Response to Hyperoxia. Investigative Ophthalmology & Visual Science. 45(13). 2591–2591.2 indexed citations
16.
Harris, Alon, et al.. (2004). Arterial Oxygen Saturation Decreases with Age. Investigative Ophthalmology & Visual Science. 45(13). 2592–2592.1 indexed citations
17.
Harris, Alon, et al.. (2003). A New Non-invasive Metabolic Assessment Technique in Glaucoma Research. Investigative Ophthalmology & Visual Science. 44(13). 2154–2154.1 indexed citations
18.
Kagemann, Larry, et al.. (2002). The Clinical Importance of Ocular Perfusion Pressure Calculation With Systemic Medication. Investigative Ophthalmology & Visual Science. 43(13). 331–331.1 indexed citations
19.
Anastasopoulos, Eleftherios, Fotis Topouzis, Fei Yu, et al.. (2002). Normative Topographic Optic Disk Parameters as Measured With the Heidelberg Retina Tomograph (HRT) in Eyes of a Population-Based Sample of Non Glaucomatous Elderly People. Investigative Ophthalmology & Visual Science. 43(13). 266–266.1 indexed citations
20.
Harris, Alon, et al.. (2002). A New Spectrographic Digital Fundus Oxymeter: Effect of Hyperoxia on Retinal Oxygen Tension. Investigative Ophthalmology & Visual Science. 43(13). 990–990.2 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.