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.
A presenilin-1-dependent γ-secretase-like protease mediates release of Notch intracellular domain
19991.7k citationsBart De Strooper, Wim Annaert et al.Natureprofile →
Notch-1 signalling requires ligand-induced proteolytic release of intracellular domain
19981.4k citationsEric H. Schroeter, Raphael Kopan et al.Natureprofile →
Signalling downstream of activated mammalian Notch
19951.2k citationsSophie Jarriault, Christel Brou et al.Natureprofile →
A Ligand-Induced Extracellular Cleavage Regulates γ-Secretase-like Proteolytic Activation of Notch1
2000693 citationsJeff S. Mumm, Eric H. Schroeter et al.Molecular Cellprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Eric H. Schroeter
Since
Specialization
Citations
This map shows the geographic impact of Eric H. Schroeter'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 Eric H. Schroeter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric H. Schroeter more than expected).
Fields of papers citing papers by Eric H. Schroeter
This network shows the impact of papers produced by Eric H. Schroeter. 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 Eric H. Schroeter. The network helps show where Eric H. Schroeter may publish in the future.
Co-authorship network of co-authors of Eric H. Schroeter
This figure shows the co-authorship network connecting the top 25 collaborators of Eric H. Schroeter.
A scholar is included among the top collaborators of Eric H. Schroeter 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 Eric H. Schroeter. Eric H. Schroeter is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Mumm, Jeff S., Eric H. Schroeter, Meera Saxena, et al.. (2000). A Ligand-Induced Extracellular Cleavage Regulates γ-Secretase-like Proteolytic Activation of Notch1. Molecular Cell. 5(2). 197–206.693 indexed citations breakdown →
11.
Strooper, Bart De, Wim Annaert, Philippe Cupers, et al.. (1999). A presenilin-1-dependent γ-secretase-like protease mediates release of Notch intracellular domain. Nature. 398(6727). 518–522.1722 indexed citations breakdown →
Kentischer, T. & Eric H. Schroeter. (1991). Interferometric measurements of the solar line Fe I λ 5576.1 Å and its centre-to-limb variation. 245(1). 279–284.2 indexed citations
17.
Schmidt, W., U. Grossmann‐Doerth, & Eric H. Schroeter. (1988). The solar granulation in the vicinity of sunspots. 197. 306–310.2 indexed citations
18.
Schroeter, Eric H., et al.. (1983). The asymmetry of photospheric absorption lines. II - The asymmetry of medium-strong Fe I lines in quiet and active regions of the sun. A&A. 117(2). 305–313.2 indexed citations
19.
Schroeter, Eric H. & D. Soltau. (1976). On the time behaviour of oscillations in sunspot umbrae.. A&A. 49(3). 463–465.1 indexed citations
20.
Soltau, D., et al.. (1976). On velocity oscillations in sunspot umbrae.. A&A. 50(3). 367–370.1 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.