Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
IMI – Report on Experimental Models of Emmetropization and Myopia
2019310 citationsDebora L. Nickla, Lisa A. Ostrin et al.Investigative Ophthalmology & Visual Scienceprofile →
IMI—The Dynamic Choroid: New Insights, Challenges, and Potential Significance for Human Myopia
202390 citationsLisa A. Ostrin, Elise Harb et al.Investigative Ophthalmology & Visual Scienceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Falk Schroedl'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 Falk Schroedl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Falk Schroedl more than expected).
This network shows the impact of papers produced by Falk Schroedl. 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 Falk Schroedl. The network helps show where Falk Schroedl may publish in the future.
Co-authorship network of co-authors of Falk Schroedl
This figure shows the co-authorship network connecting the top 25 collaborators of Falk Schroedl.
A scholar is included among the top collaborators of Falk Schroedl 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 Falk Schroedl. Falk Schroedl 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.
Ostrin, Lisa A., Elise Harb, Debora L. Nickla, et al.. (2023). IMI—The Dynamic Choroid: New Insights, Challenges, and Potential Significance for Human Myopia. Investigative Ophthalmology & Visual Science. 64(6). 4–4.90 indexed citations breakdown →
Schroedl, Falk, Alexandra Kaser-Eichberger, Andrea Trost, et al.. (2015). Galanin receptor detection in the human eye: first results. Investigative Ophthalmology & Visual Science. 56(7). 4727–4727.1 indexed citations
Nickla, Debora L. & Falk Schroedl. (2012). The Effects of Double Parasympathectomy on the Diurnal Rhythms in Choroidal Thickness and Axial Length in Chicks. Investigative Ophthalmology & Visual Science. 53(14). 3433–3433.1 indexed citations
Nickla, Debora L. & Falk Schroedl. (2011). Parasympathetic Lesions Affect Thickening, But Not Thinning, Of The Choroid. Investigative Ophthalmology & Visual Science. 52(14). 6316–6316.1 indexed citations
16.
Nickla, Debora L. & Falk Schroedl. (2008). Influences of the Autonomic Nervous System on the Compensatory Responses of the Chick Eye to Defocus: Single- and Double-lesion Studies of the Pterygopalatine Ganglion. Investigative Ophthalmology & Visual Science. 49(13). 3590–3590.3 indexed citations
17.
Rummelt, C., et al.. (2006). Corneal Angiogenic Privilege During Development. Investigative Ophthalmology & Visual Science. 47(13). 1651–1651.1 indexed citations
18.
Schroedl, Falk, Axel Brehmer, Winfried Neuhuber, & Debora L. Nickla. (2006). Neuronal Tracing in the Autonomic Facial Nerve in Chickens. Investigative Ophthalmology & Visual Science. 47(13). 3322–3322.1 indexed citations
Bergua, Antonio, et al.. (2003). Topography of Nitrergic Intrinsic Choroidal Neurons (ICN) in the Human Eye. Investigative Ophthalmology & Visual Science. 44(13). 2805–2805.4 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.