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.
Phenanthrenequinone as an analytical reagent for arginine and other monosubstituted guanidines
Countries citing papers authored by Shigeki Yamada
Since
Specialization
Citations
This map shows the geographic impact of Shigeki Yamada'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 Shigeki Yamada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeki Yamada more than expected).
This network shows the impact of papers produced by Shigeki Yamada. 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 Shigeki Yamada. The network helps show where Shigeki Yamada may publish in the future.
Co-authorship network of co-authors of Shigeki Yamada
This figure shows the co-authorship network connecting the top 25 collaborators of Shigeki Yamada.
A scholar is included among the top collaborators of Shigeki Yamada 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 Shigeki Yamada. Shigeki Yamada is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Yamada, Shigeki, et al.. (2014). BS-6-5 Optimal Distance of Multi-hop 802.11 WiFi Relays(BS-6.Network and service Design, Control and Management). 2014(2).1 indexed citations
11.
Ji, Yusheng, Michihiro Koibuchi, Kensuke Fukuda, et al.. (2012). Incentive Driven Inter-Domain Caching Mechanism for Future Network Design. IEICE Technical Report; IEICE Tech. Rep.. 112(119). 5–10.1 indexed citations
12.
Huda, Nurul, Noboru Sonehara, & Shigeki Yamada. (2009). A Privacy Management Architecture for Patient-controlled Personal Health Record System. SHILAP Revista de lepidopterología.17 indexed citations
13.
Nakamuta, Y., Shigeki Yamada, & Kunio Yoshida. (2006). Estimation of Shock Pressure Experienced by Each Ordinary Chondrite with an X-Ray Diffraction Method. Meteoritics and Planetary Science. 41(8). 5034.
14.
Kamioka, Eiji, et al.. (2004). Proposal for Context-Aware Information Delivery and Personal Communication Network Architectures with Preliminary Evaluations of Their Performance. IEICE Transactions on Communications. 87(9). 2672–2681.1 indexed citations
15.
Yamada, Shigeki, et al.. (1999). Implementation and Evaluation of a Distributed Processing Network with Separated Switching and Control Nodes. IEICE Transactions on Communications. 82(6). 886–896.
Nabe, Koichi, et al.. (1980). Production of Dihydroxyacetone by Contiuous Cultivation of Acetobacter suboxydans : Studies on Aerobic Fermentation (VII) :. Journal of Fermentation Technology. 58(3). 221–226.12 indexed citations
18.
Yamada, Shigeki, Mitsuru Wada, & Ichiro Chibata. (1978). Effect of High Oxygen Partial Pressure on the Conversion of Sorbitol to Sorbose by Acetobacter suboxydans : Studies on Aerobic Fermentation(II). Journal of Fermentation Technology. 56(1). 29–34.9 indexed citations
19.
Yamada, Shigeki, et al.. (1977). Isolation and Characterization of a Methanol-utilizing Bacterium Pseudomonas putida Strain 981 :. Journal of Fermentation Technology. 55(5). 436–443.3 indexed citations
20.
Yamada, Shigeki, et al.. (1957). ENZYMATIC PREPARATION OF OPTICALLY ACTIVE ESSENTIAL AMINO ACIDS:III. THE PREPATATION OF L-METIONINE. The Journal of Biochemistry. 44(9). 557–564.4 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.