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.
Host-derived organic acids enable gut colonization of the honey bee symbiont Snodgrassella alvi
202434 citationsAndrew Quinn, Stéphane Escrig et al.Nature Microbiologyprofile →
Countries citing papers authored by Stéphane Escrig
Since
Specialization
Citations
This map shows the geographic impact of Stéphane Escrig'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 Stéphane Escrig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphane Escrig more than expected).
This network shows the impact of papers produced by Stéphane Escrig. 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 Stéphane Escrig. The network helps show where Stéphane Escrig may publish in the future.
Co-authorship network of co-authors of Stéphane Escrig
This figure shows the co-authorship network connecting the top 25 collaborators of Stéphane Escrig.
A scholar is included among the top collaborators of Stéphane Escrig 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 Stéphane Escrig. Stéphane Escrig 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.
Ramakrishna, Priya, Francisco M. Gámez‐Arjona, Cristina Martin‐Olmos, et al.. (2025). Elemental cryo-imaging reveals SOS1-dependent vacuolar sodium accumulation. Nature. 637(8048). 1228–1233.32 indexed citations breakdown →
Escrig, Stéphane, et al.. (2011). Along- and Across-arc Basalt Geochemical Trends of Seamounts in Lau Basin: Evidence for Fluid Components and Mantle Melting. AGU Fall Meeting Abstracts. 2011.2 indexed citations
15.
Escrig, Stéphane, K. H. Rubin, Lauren B. Cooper, et al.. (2009). Major and Trace Elements and Volatiles in Glasses from the 2009 Rapid Response Expedition to West Mata Volcano and Northeast Lau Spreading Center (NELSC). AGU Fall Meeting Abstracts. 2009.3 indexed citations
16.
Gale, A., Muriel Laubier, Stéphane Escrig, C. H. Langmuir, & S. B. Jacobsen. (2009). Constraints on melting processes and ridge segmentation by new high-precision investigation of basalts from the FAMOUS segment, Mid-Atlantic Ridge. AGUFM. 2009.1 indexed citations
17.
Langmuir, C. H., et al.. (2007). Water and Melting in Back-arc Basins: New perspectives from the Eastern Lau Spreading Center. AGUFM. 2007.2 indexed citations
18.
Bézos, Antoine, et al.. (2005). Mantle petrogenesis of the Eastern Lau Spreading Center basalts and andesites and the role of subduction-related fluids. AGUFM. 2005.2 indexed citations
19.
Kingsley, R. H., Antoine Bézos, Stéphane Escrig, et al.. (2004). Interlaboratory Comparison of PGE and Re in a Mid-Ocean Ridge Basalt. AGU Spring Meeting Abstracts. 2004.2 indexed citations
20.
Escrig, Stéphane, Régis Doucelance, M. Moreira, & C. J. Allègre. (2003). Os, Sr, Nd, Pb isotopic variations in the basaltic source of Fogo island, Cape Verde. EGS - AGU - EUG Joint Assembly. 12991.1 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.