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.
Global correlations of ocean ridge basalt chemistry with axial depth and crustal thickness
19871.4k citationsE. M. Klein, C. H. LangmuirJournal of Geophysical Research Atmospheresprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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This map shows the geographic impact of E. M. Klein'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 E. M. Klein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. M. Klein more than expected).
This network shows the impact of papers produced by E. M. Klein. 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 E. M. Klein. The network helps show where E. M. Klein may publish in the future.
Co-authorship network of co-authors of E. M. Klein
This figure shows the co-authorship network connecting the top 25 collaborators of E. M. Klein.
A scholar is included among the top collaborators of E. M. Klein 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 E. M. Klein. E. M. Klein is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Klein, E. M., et al.. (2019). Geochemical variations in mid-ocean ridge basalts from the Cocos-Nazca Spreading Center. AGU Fall Meeting Abstracts. 2019.1 indexed citations
5.
Smith, Deborah K., et al.. (2018). Transition from rifting to seafloor spreading behind the tip of the westward propagating Cocos-Nazca spreading center. AGU Fall Meeting Abstracts. 2018.1 indexed citations
Perfit, M. R., et al.. (2008). Origin of Dacites on Mid-Ocean Ridges. AGUFM. 2008.2 indexed citations
9.
Klein, E. M., et al.. (2008). Correlation of Seafloor Surface Features and Underlying Melt Bodies at the 9° N Overlapping Spreading Center, East Pacific Rise. AGU Fall Meeting Abstracts. 2008.2 indexed citations
10.
Klein, E. M., et al.. (2008). Phenocryst Abundances and Compositions at the 9deg 03'N Overlapping Spreading Center: Implications for Magma Source Composition. AGUFM. 2008.2 indexed citations
11.
Klein, E. M., et al.. (2007). Photographic analysis of seafloor geologic features at the 9 N Overlapping Spreading Center, East Pacific Rise. AGU Fall Meeting Abstracts. 2007.2 indexed citations
12.
Klein, E. M., et al.. (2005). Geochemical Variability of Dikes and Lavas Exposed in the Pito Deep. AGU Fall Meeting Abstracts. 2005.2 indexed citations
Schouten, Hans, et al.. (2004). Counter-Rotating Microplates at the Galapagos Triple Junction, Eastern Equatorial Pacific Ocean. AGU Fall Meeting Abstracts. 2004.3 indexed citations
15.
Martínez, Fernando, et al.. (2002). Segmentation Control on Crustal Accretion: Insights From the Chile Ridge. AGUFM. 2002.2 indexed citations
Bito, Laszlo Z. & E. M. Klein. (1982). The role of the arachidonic acid cascade in the species-specific X-ray-induced inflammation of the rabbit eye.. PubMed. 22(5). 579–87.11 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.