J. KIRIMURA

535 total citations
11 papers, 419 citations indexed

About

J. KIRIMURA is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Insect Science. According to data from OpenAlex, J. KIRIMURA has authored 11 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Insect Science. Recurrent topics in J. KIRIMURA's work include Insect Utilization and Effects (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). J. KIRIMURA is often cited by papers focused on Insect Utilization and Effects (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). J. KIRIMURA collaborates with scholars based in China, Japan and India. J. KIRIMURA's co-authors include Tsunehiko Ninomiya, Noboru Katsuya, Akira Shimizu, Masatoshi Kobayashi, Mieko Saito, Tadao Suzuki, Toshifumi Fukuda, Sanzo Miyazawa, Gakuzo Tamura and Glen S. Tamura and has published in prestigious journals such as Nature, Journal of Agricultural and Food Chemistry and The Journal of Biochemistry.

In The Last Decade

J. KIRIMURA

11 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. KIRIMURA China 6 159 144 88 87 70 11 419
Shinya Fuke Japan 9 126 0.8× 264 1.8× 208 2.4× 139 1.6× 11 0.2× 20 593
Kenji Maehashi Japan 12 331 2.1× 473 3.3× 148 1.7× 123 1.4× 43 0.6× 31 840
H. van der Wel Netherlands 20 330 2.1× 645 4.5× 117 1.3× 90 1.0× 67 1.0× 34 947
H. Young New Zealand 15 147 0.9× 33 0.2× 17 0.2× 137 1.6× 28 0.4× 30 789
J. Murray United Kingdom 11 115 0.7× 75 0.5× 246 2.8× 39 0.4× 15 0.2× 15 543
Roberto Stella Italy 14 386 2.4× 35 0.2× 104 1.2× 71 0.8× 54 0.8× 44 644
T. Mentasti Italy 13 239 1.5× 86 0.6× 396 4.5× 184 2.1× 10 0.1× 22 806
Yasuo Aizono Japan 15 395 2.5× 29 0.2× 16 0.2× 46 0.5× 136 1.9× 52 617
Josef Berüter Switzerland 15 270 1.7× 52 0.4× 18 0.2× 56 0.6× 22 0.3× 23 787
V.H. Powell Australia 11 46 0.3× 24 0.2× 207 2.4× 55 0.6× 5 0.1× 19 399

Countries citing papers authored by J. KIRIMURA

Since Specialization
Citations

This map shows the geographic impact of J. KIRIMURA'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 J. KIRIMURA with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. KIRIMURA more than expected).

Fields of papers citing papers by J. KIRIMURA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. KIRIMURA

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

All Works

11 of 11 papers shown
1.
KIRIMURA, J., et al.. (1969). Contribution of peptides and amino acids to the taste of foods. Journal of Agricultural and Food Chemistry. 17(4). 689–695. 300 indexed citations
2.
Kobayashi, Masatoshi, J. KIRIMURA, & Mieko Saito. (1962). Crystallization of the ‘Brain’ Hormone of an Insect. Nature. 195(4840). 515–516. 15 indexed citations
3.
KIRIMURA, J., Mieko Saito, & Masatoshi Kobayashi. (1962). Steroid Hormone in an Insect, Bombyx mori. Nature. 195(4842). 729–730. 25 indexed citations
4.
KIRIMURA, J.. (1961). Studies on Amino Acid Composition of Silk Protein by Microbiological Determination. Part I. Nippon Nōgeikagaku Kaishi. 35(7). 644–648. 1 indexed citations
5.
Kobayashi, Masatoshi & J. KIRIMURA. (1958). The ‘Brain’ Hormone in the Silkworm, Bombyx mori L.. Nature. 181(4617). 1217–1217. 39 indexed citations
6.
Fukuda, Toshifumi, et al.. (1955). Microbiological Determination of Free Amino-Acids in the Body Fluid of the Silkworm Larva (Bombyx mori). Nature. 175(4467). 1041–1041. 3 indexed citations
7.
Fukuda, Toshifumi, et al.. (1955). BIOCHEMICAL STUDIES ON THE FORMATION OF THE SILKPROTEIN. The Journal of Biochemistry. 42(3). 341–346. 22 indexed citations
8.
Tamura, Gakuzo, et al.. (1952). The Microbiological Determination of Amino Acids in “Miso”. Nippon Nōgeikagaku Kaishi. 26(9). 483–485. 4 indexed citations
9.
Tamura, Glen S., et al.. (1952). The Microbiological Determination of Amino Acids by Lactic Acid Bactera. Nippon Nōgeikagaku Kaishi. 26(9). 464–470. 7 indexed citations
10.
KIRIMURA, J. & Gakuzo Tamura. (1952). The Microbiological Determination of Amino Acids in Human Milk, Cow's Milk and Amino Acid Injections. Nippon Nōgeikagaku Kaishi. 26(11). 603–605. 1 indexed citations
11.
Tamura, Gakuzo, et al.. (1952). The Microbiologial Determination of Amino Acids in Various Rice Proteins and Saké. Nippon Nōgeikagaku Kaishi. 26(9). 480–483. 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.

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