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.
Standard Reference Data for the Thermal Conductivity of Water
Countries citing papers authored by Akira Nagashima
Since
Specialization
Citations
This map shows the geographic impact of Akira Nagashima'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 Nagashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Nagashima more than expected).
This network shows the impact of papers produced by Akira Nagashima. 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 Nagashima. The network helps show where Akira Nagashima may publish in the future.
Co-authorship network of co-authors of Akira Nagashima
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Nagashima.
A scholar is included among the top collaborators of Akira Nagashima 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 Nagashima. Akira Nagashima 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.
Hirata, Hidenari, Katsumasa Nakamura, Naonobu Kunitake, et al.. (2013). Association between EGFR-TKI resistance and efficacy of radiotherapy for brain metastases from EGFR-mutant lung adenocarcinoma.. PubMed. 33(4). 1649–55.13 indexed citations
Nagasaka, Yuji, et al.. (1991). Measurement of the thermal diffusivity of molten salts by the forced Rayleigh scattering method. High Temperatures-High Pressures. 23(5). 595–604.1 indexed citations
10.
Kobayashi, Yuji, et al.. (1989). Measurement of the thermal conductivity of molten KNO3 and NaNO3 by the transient hot-wire method with ceramic-coated probes. High Temperatures-High Pressures. 21(2). 219–224.33 indexed citations
11.
Takano, Yukio, Akira Nagashima, Hiro‐o Kamiya, Masahiko Kurosawa, & Akio Sato. (1988). Well-maintained reflex responses of sympathetic nerve activity to stimulation of baroreceptor, chemoreceptor and cutaneous mechanoreceptors in neonatal capsaicin-treated rats.. PubMed. 445(1). 188–92.14 indexed citations
12.
Nagashima, Akira, et al.. (1988). Measurement of the viscosity of R22-R114 nonazeotropic mixtures under high pressure.. 219–222.1 indexed citations
13.
Hatakeyama, Takuya, Yuji Nagasaka, & Akira Nagashima. (1987). MEASUREMENT OF THE THERMAL DIFFUSIVITY OF LIQUIDS BY THE FORCED RAYLEIGH SCATTERING METHOD.. 1–6.2 indexed citations
Matsunaga, Naoki, Tsuyoshi Hoshino, & Akira Nagashima. (1984). IGTC-41 CRITICAL ASSESSMENT OF THERMOPHYSICAL PROPERTIES DATA OF COMBUSTION GASES FOR CALCULATING THE PERFORMANCE OF GAS TURBINE. 1983(1).3 indexed citations
18.
Watanabe, Koichi, et al.. (1979). Some evaluated thermophysical properties of gaseous ethyne. Kyoto University Research Information Repository (Kyoto University). 49(1). 39–55.1 indexed citations
Tanaka, Yoshiyuki, et al.. (1973). Evaluation and correlation of viscosity data : the most probable values of the viscosity of gaseous methane. Kyoto University Research Information Repository (Kyoto University). 43(1). 54–61.2 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.