Kazuo Nishigaki

1.3k total citations
55 papers, 975 citations indexed

About

Kazuo Nishigaki is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, Kazuo Nishigaki has authored 55 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Genetics, 20 papers in Molecular Biology and 17 papers in Immunology. Recurrent topics in Kazuo Nishigaki's work include Virus-based gene therapy research (21 papers), HIV Research and Treatment (14 papers) and CRISPR and Genetic Engineering (9 papers). Kazuo Nishigaki is often cited by papers focused on Virus-based gene therapy research (21 papers), HIV Research and Treatment (14 papers) and CRISPR and Genetic Engineering (9 papers). Kazuo Nishigaki collaborates with scholars based in Japan, United States and Tanzania. Kazuo Nishigaki's co-authors include Hajime Tsujimoto, Sandra K. Ruscetti, Charlotte Hanson, Yasuyuki Endo, Shinya Watanabe, Maki Kawamura, Takashi Yugawa, Atsuhiko Hasegawa, Junna Kawasaki and So Nakagawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Kazuo Nishigaki

53 papers receiving 957 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kazuo Nishigaki Japan 18 377 309 261 229 224 55 975
Vicki Traina‐Dorge United States 20 142 0.4× 290 0.9× 268 1.0× 170 0.7× 348 1.6× 53 1.3k
Brigitte Sigrist Switzerland 13 192 0.5× 254 0.8× 129 0.5× 118 0.5× 142 0.6× 24 753
Abha Chopra Australia 22 120 0.3× 389 1.3× 367 1.4× 288 1.3× 340 1.5× 82 1.3k
Alicia Gómez Yafal United States 13 212 0.6× 278 0.9× 487 1.9× 181 0.8× 84 0.4× 15 865
Karim Essani United States 17 411 1.1× 305 1.0× 341 1.3× 118 0.5× 283 1.3× 49 1.0k
Catherine Legras‐Lachuer France 20 212 0.6× 348 1.1× 158 0.6× 253 1.1× 102 0.5× 42 994
Masmudur M. Rahman United States 17 385 1.0× 421 1.4× 289 1.1× 113 0.5× 90 0.4× 40 970
Paul P. Hung Canada 16 313 0.8× 245 0.8× 125 0.5× 305 1.3× 120 0.5× 30 857
Karen V. Kibler United States 22 212 0.6× 671 2.2× 772 3.0× 225 1.0× 567 2.5× 44 1.9k
Frances J. Palmer‐Hill United States 8 240 0.6× 325 1.1× 366 1.4× 217 0.9× 97 0.4× 8 1.3k

Countries citing papers authored by Kazuo Nishigaki

Since Specialization
Citations

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

Fields of papers citing papers by Kazuo Nishigaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuo Nishigaki

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuo Nishigaki. A scholar is included among the top collaborators of Kazuo Nishigaki 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 Kazuo Nishigaki. Kazuo Nishigaki 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.
Takeuchi, Dai, et al.. (2024). FeLIX is a restriction factor for mammalian retrovirus infection. Journal of Virology. 98(4). e0177123–e0177123. 1 indexed citations
2.
Arnal, María Cruz, et al.. (2024). Endogenous retrovirus ERV-DC8 highly integrated in domestic cat populations is a replication-competent provirus. Biochemical and Biophysical Research Communications. 738. 150521–150521. 1 indexed citations
3.
Kaneko, Mika K., Takayuki Nakagawa, Kazuo Nishigaki, et al.. (2023). Development of anti-feline PD-1 antibody and its functional analysis. Scientific Reports. 13(1). 6420–6420. 2 indexed citations
4.
Miyake, Ariko, et al.. (2022). Convergent evolution of antiviral machinery derived from endogenous retrovirus truncated envelope genes in multiple species. Proceedings of the National Academy of Sciences. 119(26). e2114441119–e2114441119. 8 indexed citations
5.
Miyake, Ariko, et al.. (2018). Polymerase chain reaction-based detection of myc transduction in feline leukemia virus-infected cats. Archives of Virology. 163(4). 1073–1077. 3 indexed citations
6.
Sato, Shingo, Hidenori Kabeya, Hajime Tsujimoto, et al.. (2017). Molecular survey ofBartonella henselaeandBartonella clarridgeiaein pet cats across Japan by species-specific nested-PCR. Epidemiology and Infection. 145(13). 2694–2700. 12 indexed citations
7.
Tateno, Morihiro, et al.. (2017). Molecular epidemiological study of gammaherpesvirus in domestic cats in Japan. Journal of Veterinary Medical Science. 79(10). 1735–1740. 11 indexed citations
8.
Kawamura, Maki, Ariko Miyake, Masaharu Hisasue, et al.. (2016). AKT capture by feline leukemia virus. Archives of Virology. 162(4). 1031–1036. 2 indexed citations
9.
Kawamura, Maki, Shinya Watanabe, So Nakagawa, et al.. (2015). Genetic diversity in the feline leukemia virus gag gene. Virus Research. 204. 74–81. 8 indexed citations
10.
Sasaki, Hiromi, Yasuaki Ichikawa, Yoshimi Sakata, et al.. (2012). Molecular survey of Rickettsia, Ehrlichia, and Anaplasma infection of domestic cats in Japan. Ticks and Tick-borne Diseases. 3(5-6). 308–311. 20 indexed citations
11.
Kawamura, Maki, et al.. (2011). Role of N‐terminal sequences of the tyrosine kinase sf‐Stk in transformation of rodent fibroblasts by variants of Friend spleen focus‐forming virus. International Journal of Cancer. 131(5). 1083–1094. 1 indexed citations
12.
Nishitsuji, Hironori, Atsuhiko Hasegawa, Ken‐ichi Nakahama, et al.. (2009). Potential enhancement of osteoclastogenesis by severe acute respiratory syndrome coronavirus 3a/X1 protein. Archives of Virology. 154(9). 1457–1464. 34 indexed citations
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Nishigaki, Kazuo, Takashi Yugawa, Charlotte Hanson, et al.. (2003). Identification and Characterization of a Novel Ste20/Germinal Center Kinase-related Kinase, Polyploidy-associated Protein Kinase. Journal of Biological Chemistry. 278(15). 13520–13530. 16 indexed citations
16.
17.
Hisasue, Masaharu, Kazuo Nishigaki, Hiromi Katae, et al.. (2000). Clonality Analysis of Various Hematopoietic Disorders in Cats Naturally Infected with Feline Leukemia Virus.. Journal of Veterinary Medical Science. 62(10). 1059–1065. 17 indexed citations
18.
Okuda, Masaru, Ken‐ichi Minehata, Asuka Setoguchi, et al.. (1997). Cloning and chromosome mapping of the feline genes p21WAF1 and p27Kip1. Gene. 198(1-2). 141–147. 4 indexed citations
19.
Endo, Yasuyuki, Kazuo Nishigaki, Yasuyuki Momoi, et al.. (1997). Molecular characteristics of malignant lymphomas in cats naturally infected with feline immunodeficiency virus. Veterinary Immunology and Immunopathology. 57(3-4). 153–167. 39 indexed citations
20.
Tsujimoto, Hajime, Ruth Fulton, Kazuo Nishigaki, et al.. (1993). A Common Proviral Integration Region, fit-1, in T-Cell Tumors Induced by Myc-Containing Feline Leukemia Viruses. Virology. 196(2). 845–848. 22 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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