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.
Isolation and Functional Analysis of a MYB Transcription Factor Gene that is a Key Regulator for the Development of Red Coloration in Apple Skin
2007522 citationsC. Honda, Takaya Moriguchi et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of C. Honda'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 C. Honda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Honda more than expected).
This network shows the impact of papers produced by C. Honda. 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 C. Honda. The network helps show where C. Honda may publish in the future.
Co-authorship network of co-authors of C. Honda
This figure shows the co-authorship network connecting the top 25 collaborators of C. Honda.
A scholar is included among the top collaborators of C. Honda 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 C. Honda. C. Honda is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Nakauchi, Yusuke, Kazuto Saiki, Masakazu Ohtake, et al.. (2019). Multi-Band Camera on SLIM to Investigate Mg# of Lunar Mantle Materials. Lunar and Planetary Science Conference. 1522.1 indexed citations
3.
Honda, C., Toshihiko Kinoshita, Naru Hirata, & Tomokatsu Morota. (2014). Detection abilities of secondary craters based on the clustering analysis and Voronoi diagram. European Planetary Science Congress. 9.1 indexed citations
4.
Matsunaga, Tsuneo, Shuji Yamamoto, M. Ohtake, et al.. (2012). Lunar Photometric Properties at Wavelength over 1.7 Microns Acquired by SELENE Spectral Profiler NIR-2 Sensor. Lunar and Planetary Science Conference. 2810.2 indexed citations
5.
Matsunaga, Tsuneo, M. Ohtake, J. Haruyama, et al.. (2010). Refinement of Lunar Vis/NIR Phase Curve Acquired by SELENE Spectral Profiler. 2532.4 indexed citations
6.
Matsunaga, Tsuneo, M. Ohtake, J. Haruyama, et al.. (2009). Lunar Phase Curve at Vis/NIR Wavelength Observed by SELENE Spectral Profiler. Lunar and Planetary Science Conference. 2525.1 indexed citations
7.
Hirata, Naoyuki, J. Haruyama, M. Ohtake, et al.. (2009). Morphological Analyses of Tycho Crater with Kaguya Data. Lunar and Planetary Science Conference. 1514.1 indexed citations
8.
Morota, Tomokatsu, J. Haruyama, M. Ohtake, et al.. (2008). Age Determination of Mare Basalts Surrounding the Crater Lichtenberg: Preliminary Results Using SELENE (Kaguya)/Terrain Camera Data. LPI. 1513.3 indexed citations
Ohtake, M., J. Haruyama, C. Honda, et al.. (2007). Objectives of the SELENE Multiband Imager and Spectral Study of Dho489. LPI. 1829.1 indexed citations
Honda, C., et al.. (1984). Diffusion of poly(ethylene oxide) in water. 25(5). 154–157.21 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.