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.
Age-related macular degeneration
2021602 citationsMonika Fleckenstein, Robyn H. Guymer et al.profile →
Age-Related Macular Degeneration
2024184 citationsMonika Fleckenstein, Steffen Schmitz-Valckenberg et al.profile →
Citations per year, relative to Steffen Schmitz-Valckenberg Steffen Schmitz-Valckenberg (= 1×)
peers
Monika Fleckenstein
Countries citing papers authored by Steffen Schmitz-Valckenberg
Since
Specialization
Citations
This map shows the geographic impact of Steffen Schmitz-Valckenberg'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 Steffen Schmitz-Valckenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steffen Schmitz-Valckenberg more than expected).
Fields of papers citing papers by Steffen Schmitz-Valckenberg
This network shows the impact of papers produced by Steffen Schmitz-Valckenberg. 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 Steffen Schmitz-Valckenberg. The network helps show where Steffen Schmitz-Valckenberg may publish in the future.
Co-authorship network of co-authors of Steffen Schmitz-Valckenberg
This figure shows the co-authorship network connecting the top 25 collaborators of Steffen Schmitz-Valckenberg.
A scholar is included among the top collaborators of Steffen Schmitz-Valckenberg 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 Steffen Schmitz-Valckenberg. Steffen Schmitz-Valckenberg is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Anegondi, Neha, Srinivas R. Sadda, Steffen Schmitz-Valckenberg, et al.. (2024). Visual Loss in Geographic Atrophy. Ophthalmology. 132(4). 420–430.3 indexed citations
Jaffe, Glenn J., Usha Chakravarthy, K. Bailey Freund, et al.. (2020). Imaging Features Associated with Progression to Geographic Atrophy in Age-Related Macular Degeneration: CAM Report 5.. Ophthalmology Retina.6 indexed citations
7.
Callizo, Josep, Focke Ziemssen, Thomas Bertelmann, et al.. (2019). Real-World Data: Ranibizumab Treatment For Retinal Vein Occlusion In The OCEAN Study. SHILAP Revista de lepidopterología.1 indexed citations
Gunnemann, Frederic, et al.. (2017). Influence of OCT-examination during ranibizumab treatment of AMD patients in a real-life setting (OCEAN study). Kölner Universitäts PublikationsServer (Universität zu Köln).1 indexed citations
10.
Ziemssen, Focke, et al.. (2017). Dependency of BCVA and ranibizumab treatment frequency of DME patients in a real-life setting (OCEAN study). Investigative Ophthalmology & Visual Science. 58(8). 1904–1904.1 indexed citations
11.
Schmitz-Valckenberg, Steffen, Julia S. Steinberg, Marlene Saßmannshausen, et al.. (2016). Correlation of outer retinal thickness with scotopic and photopic fundus-controlled perimetry in patients with reticular drusen. Investigative Ophthalmology & Visual Science. 57(12). 4930–4930.1 indexed citations
Fleckenstein, Monika, Jennifer Nadal, Rolf Fimmers, et al.. (2015). Modeling Progression in Terms of Visual Loss in Geographic Atrophy Secondary to Age-related Macular Degeneration. Investigative Ophthalmology & Visual Science. 56(7). 2822–2822.1 indexed citations
14.
Steinberg, Julia S., et al.. (2013). Longitudinal analysis of reticular drusen associated with age-related macular degeneration. Investigative Ophthalmology & Visual Science. 54(15). 4172–4172.1 indexed citations
15.
Brinkmann, Christian, et al.. (2011). Semi-automated Image Analysis Software For Quantification And Calculation Of Geographic Atrophy Progression. Investigative Ophthalmology & Visual Science. 52(14). 161–161.2 indexed citations
16.
Lammersdorf, Katharina, Monika Fleckenstein, Frank G. Holz, & Steffen Schmitz-Valckenberg. (2010). Fundus Autofluorescence Imaging Using Ultra-Widefield Scanning Laser Ophthalmoscopy in Patients With Geographic Atrophy Secondary to Age-Related Macular Degeneration. Investigative Ophthalmology & Visual Science. 51(13). 264–264.1 indexed citations
17.
Herrmann, Philipp, et al.. (2010). Intra- and Interobserver Variability of Geographic Atrophy Quantification in Patients With AMD in a Reading Center Setting. Investigative Ophthalmology & Visual Science. 51(13). 313–313.1 indexed citations
18.
Bindewald-Wittich, Almut, Joanna Dolar-Szczasny, Steffen Schmitz-Valckenberg, et al.. (2004). Fundus Autofluorescence Patterns in the Junctional Zone as Prognostic Determinants for Spread of Geographic Atrophy in Age–related Macular Degeneration (AMD). Investigative Ophthalmology & Visual Science. 45(13). 2960–2960.3 indexed citations
19.
Deckert, Andreas, et al.. (2004). Computer–assisted Automated Analysis of Digital cSLO Fundus Autofluorescence Images in Advanced Atrophic AMD. Investigative Ophthalmology & Visual Science. 45(13). 2965–2965.1 indexed citations
20.
Schmitz-Valckenberg, Steffen, et al.. (2002). Reticular Pseudodrusen and Peripapillary Atrophy associated with Geographic Atrophy in advanced ARMD. Investigative Ophthalmology & Visual Science. 43(13). 2517–2517.
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.