T. Kohno

813 total citations · 1 hit paper
8 papers, 713 citations indexed

About

T. Kohno is a scholar working on Materials Chemistry, Condensed Matter Physics and Catalysis. According to data from OpenAlex, T. Kohno has authored 8 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 3 papers in Condensed Matter Physics and 3 papers in Catalysis. Recurrent topics in T. Kohno's work include Hydrogen Storage and Materials (7 papers), Ammonia Synthesis and Nitrogen Reduction (3 papers) and Rare-earth and actinide compounds (3 papers). T. Kohno is often cited by papers focused on Hydrogen Storage and Materials (7 papers), Ammonia Synthesis and Nitrogen Reduction (3 papers) and Rare-earth and actinide compounds (3 papers). T. Kohno collaborates with scholars based in Japan. T. Kohno's co-authors include M. Kanda, M. Yamamoto, Hajime Yoshida, Teruhiko Inaba, Fumiyuki Kawashima, I. Sakai, Etsuo Akiba, Hiroshi Hayakawa, Kouji Sakaki and Yujun Chai and has published in prestigious journals such as Journal of Alloys and Compounds, Scripta Materialia and Chromatographia.

In The Last Decade

T. Kohno

8 papers receiving 700 citations

Hit Papers

align trajectories

What are hit papers?

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.

Hydrogen storage properties of new ternary system alloys: La2MgNi9, La5Mg2Ni23, La3MgNi14

2000 510 citations T. Kohno, Hajime Yoshida et al. Journal of Alloys and Compounds profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
T. Kohno Japan	6	677	339	214	122	115	8	713
Jia-Jun Tang China	13	616 0.9×	287 0.8×	132 0.6×	40 0.3×	87 0.8×	30	739
Yanshan Lu China	14	767 1.1×	456 1.3×	163 0.8×	41 0.3×	92 0.8×	20	804
J. Zhang China	14	458 0.7×	203 0.6×	89 0.4×	39 0.3×	68 0.6×	17	536
Darvaish Khan China	11	659 1.0×	365 1.1×	76 0.4×	40 0.3×	88 0.8×	19	727
Shuchun Zhao China	10	435 0.6×	248 0.7×	50 0.2×	60 0.5×	93 0.8×	11	548
E. Grigorova Bulgaria	11	363 0.5×	246 0.7×	65 0.3×	47 0.4×	68 0.6×	28	429
Haichang Zhong China	12	296 0.4×	183 0.5×	77 0.4×	108 0.9×	51 0.4×	28	434
Wenlou Wei China	12	301 0.4×	178 0.5×	101 0.5×	121 1.0×	32 0.3×	24	457
L.X. Chen China	8	394 0.6×	114 0.3×	66 0.3×	124 1.0×	38 0.3×	15	416

Countries citing papers authored by T. Kohno

Since Specialization

Citations

This map shows the geographic impact of T. Kohno'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 T. Kohno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Kohno more than expected).

Fields of papers citing papers by T. Kohno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Kohno. 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 T. Kohno. The network helps show where T. Kohno may publish in the future.

Co-authorship network of co-authors of T. Kohno

This figure shows the co-authorship network connecting the top 25 collaborators of T. Kohno. A scholar is included among the top collaborators of T. Kohno 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 T. Kohno. T. Kohno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Chai, Yujun, Kouji Sakaki, Kohta Asano, et al.. (2007). Crystal structure and hydrogen storage properties of La–Mg–Ni–Co alloy with superstructure. Scripta Materialia. 57(6). 545–548. 44 indexed citations

2.

Kohno, T., Shiro Takeno, Hajime Yoshida, & M. Kanda. (2006). Structural analysis of La-Mg-Ni-based new hydrogen storage alloy. Research on Chemical Intermediates. 32(5). 437–445. 2 indexed citations

3.

Akiba, Etsuo, Hiroshi Hayakawa, & T. Kohno. (2005). Crystal structures of novel La–Mg–Ni hydrogen absorbing alloys. Journal of Alloys and Compounds. 408-412. 280–283. 69 indexed citations

4.

Kohno, T., Hajime Yoshida, & M. Kanda. (2003). Hydrogen storage properties of La(Ni0.9M0.1)3 alloys. Journal of Alloys and Compounds. 363(1-2). 254–257. 33 indexed citations

5.

Kohno, T., Hajime Yoshida, Fumiyuki Kawashima, et al.. (2001). ChemInform Abstract: Hydrogen Storage Properties of New Ternary System Alloys: La₂MgNi₉, La₅Mg₂Ni₂₃, La₃MgNi₁₄.. ChemInform. 32(2). 1 indexed citations

6.

Kohno, T., Hajime Yoshida, Fumiyuki Kawashima, et al.. (2000). Hydrogen storage properties of new ternary system alloys: La2MgNi9, La5Mg2Ni23, La3MgNi14. Journal of Alloys and Compounds. 311(2). L5–L7. 510 indexed citations breakdown →

7.

Kohno, T., M. Yamamoto, & M. Kanda. (1999). Electrochemical properties of mechanically ground Mg2Ni alloy. Journal of Alloys and Compounds. 293-295. 643–647. 44 indexed citations

8.

Kohno, T., et al.. (1978). Resolution of amino acids on optically active stationary phase by gasChromatography. Chromatographia. 11(7). 393–396. 10 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.

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