T. Kiguchi

525 total citations
11 papers, 411 citations indexed

About

T. Kiguchi is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, T. Kiguchi has authored 11 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 2 papers in Molecular Biology and 2 papers in Agronomy and Crop Science. Recurrent topics in T. Kiguchi's work include Plant Virus Research Studies (9 papers), Plant Pathogenic Bacteria Studies (3 papers) and Agronomic Practices and Intercropping Systems (2 papers). T. Kiguchi is often cited by papers focused on Plant Virus Research Studies (9 papers), Plant Pathogenic Bacteria Studies (3 papers) and Agronomic Practices and Intercropping Systems (2 papers). T. Kiguchi collaborates with scholars based in Japan. T. Kiguchi's co-authors include T. Tamada, Minako Saito, Kenji Fujino, Hiroshi Sekiguchi, Yukio Shirako, Hideki Abe, T. Kusume, F. Motoyoshi, Soh Hidaka and Tetsuji Kakutani and has published in prestigious journals such as Journal of General Virology, Archives of Virology and Molecular Genetics and Genomics.

In The Last Decade

T. Kiguchi

11 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Kiguchi Japan 8 406 145 84 48 34 11 411
Juan J. Bernal Spain 11 400 1.0× 181 1.2× 82 1.0× 85 1.8× 51 1.5× 12 434
M. Bousalem France 13 526 1.3× 169 1.2× 95 1.1× 62 1.3× 27 0.8× 22 557
Allan Olspert Estonia 10 340 0.8× 169 1.2× 91 1.1× 57 1.2× 32 0.9× 16 411
A. J. Gibbs Australia 11 286 0.7× 105 0.7× 66 0.8× 84 1.8× 20 0.6× 14 400
A.-L. Haenni France 12 406 1.0× 168 1.2× 158 1.9× 106 2.2× 42 1.2× 18 509
D. W. Mossop New Zealand 11 419 1.0× 203 1.4× 71 0.8× 85 1.8× 20 0.6× 18 467
Ron Reade Canada 13 373 0.9× 130 0.9× 79 0.9× 76 1.6× 45 1.3× 23 405
A. J. Gibbs United Kingdom 5 360 0.9× 122 0.8× 54 0.6× 104 2.2× 32 0.9× 9 421
F. van Poelwijk Netherlands 9 345 0.8× 162 1.1× 89 1.1× 104 2.2× 75 2.2× 12 436

Countries citing papers authored by T. Kiguchi

Since Specialization
Citations

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

Fields of papers citing papers by T. Kiguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of T. Kiguchi. A scholar is included among the top collaborators of T. Kiguchi 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. Kiguchi. T. Kiguchi 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.
Fujita, Shohei, et al.. (2017). A new soybean variety "Suzumaru R".. 1–13. 2 indexed citations
2.
Fujino, Kenji, Hiroshi Sekiguchi, & T. Kiguchi. (2005). Identification of an active transposon in intact rice plants. Molecular Genetics and Genomics. 273(2). 150–157. 53 indexed citations
3.
Kiguchi, T., et al.. (2003). Rapid DNA Extraction Method from Soybean Seeds. Breeding Science. 53(3). 277–279. 34 indexed citations
4.
Yamamoto, Hideki, T. Kiguchi, Mineo Senda, et al.. (2001). Discrimination between Virulent and Attenuated Isolates of Tomato mosaic virus by Restriction Fragment Length Polymorphism. Journal of General Plant Pathology. 67(4). 309–311. 2 indexed citations
5.
Saito, Minako, T. Kiguchi, & T. Tamada. (1997). Nonradioactive Digoxigenin-labeled DNA Probes for the Detection of Five RNA Species Present in Beet Necrotic Yellow Vein Virus. Okayama University Scientific Achievement Repository (Okayama University). 5(1). 79–96. 3 indexed citations
6.
Kiguchi, T., Minako Saito, & T. Tamada. (1996). Nucleotide sequence analysis of RNA-5 of five isolates of beet necrotic yellow vein virus and the identity of a deletion mutant. Journal of General Virology. 77(4). 575–580. 35 indexed citations
7.
Saito, Minako, T. Kiguchi, T. Kusume, & T. Tamada. (1996). Complete nucleotide sequence of the Japanese isolate S of beet necrotic yellow vein virus RNA and comparison with European isolates. Archives of Virology. 141(11). 2163–2175. 36 indexed citations
8.
Tamada, T., T. Kusume, Hiroshi Uchino, et al.. (1996). Evidence that beet necrotic yellow vein virus RNS-5 is involved in symptom development of sugar-beet roots.. 49–52. 28 indexed citations
9.
Ugaki, Masashi, Masamitsu Tomiyama, Tetsuji Kakutani, et al.. (1991). The complete nucleotide sequence of cucumber green mottle mosaic virus (SH strain) genomic RNA. Journal of General Virology. 72(7). 1487–1495. 101 indexed citations
10.
Tamada, T., et al.. (1990). Effect of isolates of belt necrotic yellow vein virus with different RNA components on the development of rhizomania symptoms.. 41–44. 17 indexed citations
11.
Tamada, T., et al.. (1989). Production and Pathogenicity of Isolates of Beet Necrotic Yellow Vein Virus with Different Numbers of RNA Components. Journal of General Virology. 70(12). 3399–3409. 100 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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