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.
Holocene moisture evolution in arid central Asia and its out-of-phase relationship with Asian monsoon history
20081.0k citationsEmi Ito, Ian Boomer et al.Quaternary Science Reviewsprofile →
Sea-Surface Temperature from Coral Skeletal Strontium/Calcium Ratios
1992630 citationsR. Lawrence Edwards, Emi Ito et al.profile →
This map shows the geographic impact of Emi Ito'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 Emi Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emi Ito more than expected).
This network shows the impact of papers produced by Emi Ito. 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 Emi Ito. The network helps show where Emi Ito may publish in the future.
Co-authorship network of co-authors of Emi Ito
This figure shows the co-authorship network connecting the top 25 collaborators of Emi Ito.
A scholar is included among the top collaborators of Emi Ito 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 Emi Ito. Emi Ito is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Goldstein, S. L., Mordechai Stein, Zvi Ben‐Avraham, et al.. (2012). The ICDP Dead Sea deep drill cores: records of climate change and tectonics in the Levant. AGU Fall Meeting Abstracts. 2012.1 indexed citations
11.
Mischke, Steffen, Ian Boomer, Sarah C. Sherlock, et al.. (2008). The potential of Lake Karakul in the eastern Pamirs as a long-term climate archive. AGU Fall Meeting Abstracts. 2008.1 indexed citations
12.
Ito, Emi, et al.. (2007). Mg/Ca of Continental Ostracode Shells. AGUFM. 2007.2 indexed citations
13.
Auler, Augusto S., et al.. (2007). Rapid Amazonian Moisture Oscillations Correlated with Dansgaard-Oeschger Cycles. AGUFM. 2007.2 indexed citations
14.
Auler, Augusto S., et al.. (2006). Millennial-scale interhemispheric asymmetry of low-latitude precipitation: speleothem evidences and possible high-latitude forcing. AGUFM. 2006.9 indexed citations
15.
Smith, Andrew J., et al.. (2002). Assessing the Value of Presence/Absence Data for Ostracode-Based Paleoenvironmental Reconstructions. AGU Spring Meeting Abstracts. 2002.3 indexed citations
16.
Shapley, Mark D., et al.. (2002). Endogenic Carbonate Sediment Flux in Lakes as an Indicator of Paleo-Groundwater Recharge. AGU Fall Meeting Abstracts. 2002.1 indexed citations
17.
Ito, Emi, et al.. (2001). New Experimental Constraints on Crystallization Differentiation in a Deep Magma Ocean. AGU Fall Meeting Abstracts. 2001.1 indexed citations
18.
Kubo, Atsushi, Emi Ito, Tomoo Katsura, et al.. (2001). Exploration of beta-Fe using sintered diamond anvils. AGU Fall Meeting Abstracts. 2001.1 indexed citations
Ito, Emi, et al.. (1982). Preliminary tracer studies of the fluorine-rich skarn at McCullough Butte, Eureka Co., Nevada. Abstracts with Programs - Geological Society of America. 14(7). 440.1 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.