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.
QTL‐seq: rapid mapping of quantitative trait loci in rice by whole genome resequencing of DNA from two bulked populations
2013989 citationsHiroki Takagi, Akira Abe et al.profile →
Genome sequencing reveals agronomically important loci in rice using MutMap
2012939 citationsAkira Abe, Hiroki Takagi et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
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This map shows the geographic impact of Akira Abe'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 Akira Abe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Abe more than expected).
This network shows the impact of papers produced by Akira Abe. 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 Akira Abe. The network helps show where Akira Abe may publish in the future.
Co-authorship network of co-authors of Akira Abe
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Abe.
A scholar is included among the top collaborators of Akira Abe 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 Akira Abe. Akira Abe is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ueda, Kôichiro, et al.. (2000). Relationship Between Voluntary Intake of Rapping Rollbale Silage of Italian ryegrass in Dairy Cattle and Chemical Compositions, Retention Time in the Rumen, Digestibility and Digestion rate. 46(3). 254–260.1 indexed citations
10.
Ueda, Kôichiro, et al.. (2000). Relationship between voluntary intake of wrapped round-bale silage of Italian ryegrass in dairy cattle and chemical composition, retention time in the rumen, digestibility and digestion rate.. Grassland Science. 46. 254–260.2 indexed citations
11.
Abe, Akira, et al.. (1998). Prediction of TDN Contents of Hay and Grass Silage by Near Infrared Reflectance Spectroscopy.. 44(1). 61–66.2 indexed citations
12.
Aizawa, Yoshifusa, et al.. (1996). Initial Experiences of Implantable Cardioverter-Defibrillator Treatmentin Patients with Vetricular Tachyarrhythmias. 44(4). 199–207.1 indexed citations
Widyastuti, Yantyati & Akira Abe. (1989). Effect of the Silica Content on Digestibility of Rice Straw. Japan Agricultural Research Quarterly JARQ. 23(1). 53–58.5 indexed citations
16.
Widyastuti, Yantyati, Fuminori Terada, Hiroshi Kajikawa, & Akira Abe. (1987). Digestion of rice straw cell wall constituents in various rumen conditions. Japan Agricultural Research Quarterly JARQ. 21(1). 59–64.5 indexed citations
17.
Abe, Akira. (1984). Assessment of the Quality of Forage from Its Chemical Composition and Application to Feeding Program. Tropical agriculture research series : proceedings of a symposium on tropical agriculture researches. 18. 133–150.1 indexed citations
18.
Abe, Akira. (1982). A New Analytical System for Feed Evaluation. Japan Agricultural Research Quarterly JARQ. 16(1). 51–56.
19.
Abe, Akira, et al.. (1977). A comparison of results using five methods for prediction of forage digestibility. 23(3). 252–255.3 indexed citations
20.
Abe, Akira & Toshihiro Ishikawa. (1967). Studies on pneumoconiosis caused by organic dusts.. 43(1). 19–41.4 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.