Kazu Okuma

1.1k total citations
42 papers, 612 citations indexed

About

Kazu Okuma is a scholar working on Immunology, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Kazu Okuma has authored 42 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Immunology, 18 papers in Agronomy and Crop Science and 17 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Kazu Okuma's work include T-cell and Retrovirus Studies (19 papers), Animal Disease Management and Epidemiology (18 papers) and Vector-Borne Animal Diseases (17 papers). Kazu Okuma is often cited by papers focused on T-cell and Retrovirus Studies (19 papers), Animal Disease Management and Epidemiology (18 papers) and Vector-Borne Animal Diseases (17 papers). Kazu Okuma collaborates with scholars based in Japan, United States and Italy. Kazu Okuma's co-authors include Yoshiharu Matsuura, Minoru Nakamura, Isao Hamaguchi, Yoshiyuki Niho, Shuji Nakano, Toshiki Watanabe, Yuetsu Tanaka, Yusuke Yanagi, Yasuko Sagara and Hironobu Tatsuo and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Virology and Biochemical and Biophysical Research Communications.

In The Last Decade

Kazu Okuma

39 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kazu Okuma Japan 12 325 205 175 170 86 42 612
Mohamed Nejmeddine Morocco 11 366 1.1× 104 0.5× 221 1.3× 191 1.1× 155 1.8× 23 726
Adriana A. Giri Argentina 15 146 0.4× 257 1.3× 102 0.6× 85 0.5× 131 1.5× 35 646
Ariko Miyake Japan 14 360 1.1× 124 0.6× 141 0.8× 136 0.8× 350 4.1× 42 837
Cecilia Tami United States 12 191 0.6× 74 0.4× 270 1.5× 144 0.8× 222 2.6× 15 675
Juan Pablo Jaworski Argentina 12 264 0.8× 69 0.3× 158 0.9× 112 0.7× 120 1.4× 22 503
Noreen Sheehy Ireland 15 395 1.2× 62 0.3× 307 1.8× 287 1.7× 174 2.0× 33 676
Dmitriy Mazurov Russia 14 307 0.9× 62 0.3× 117 0.7× 100 0.6× 346 4.0× 38 732
Aileen Rowan United Kingdom 18 902 2.8× 138 0.7× 605 3.5× 550 3.2× 130 1.5× 36 1.1k
M E Andrew Australia 16 438 1.3× 293 1.4× 93 0.5× 64 0.4× 123 1.4× 20 803
Frédéric Delebecque France 13 532 1.6× 430 2.1× 95 0.5× 77 0.5× 315 3.7× 16 1.1k

Countries citing papers authored by Kazu Okuma

Since Specialization
Citations

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

Fields of papers citing papers by Kazu Okuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazu Okuma

This figure shows the co-authorship network connecting the top 25 collaborators of Kazu Okuma. A scholar is included among the top collaborators of Kazu Okuma 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 Kazu Okuma. Kazu Okuma 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.
Hiraga, K., Megumi Murata, Kenta Tezuka, et al.. (2024). Highly homologous simian T-cell leukemia virus type 1 genome in Japanese macaques: a large cohort study. Virology Journal. 21(1). 166–166. 1 indexed citations
3.
Pezzotti, Giuseppe, Tetsuya Adachi, Toshiro Yamamoto, et al.. (2023). In Situ Raman Study of Neurodegenerated Human Neuroblastoma Cells Exposed to Outer-Membrane Vesicles Isolated from Porphyromonas gingivalis. International Journal of Molecular Sciences. 24(17). 13351–13351. 9 indexed citations
4.
Pezzotti, Giuseppe, Eriko Ohgitani, Masaharu Shin‐Ya, et al.. (2023). Raman Multi-Omic Snapshot and Statistical Validation of Structural Differences between Herpes Simplex Type I and Epstein–Barr Viruses. International Journal of Molecular Sciences. 24(21). 15567–15567. 4 indexed citations
5.
Okuma, Kazu, et al.. (2023). Mouse Models for HTLV-1 Infection and Adult T Cell Leukemia. International Journal of Molecular Sciences. 24(14). 11737–11737. 1 indexed citations
6.
Pezzotti, Giuseppe, Eriko Ohgitani, Masaharu Shin‐Ya, et al.. (2023). Instantaneous Inactivation of Herpes Simplex Virus by Silicon Nitride Bioceramics. International Journal of Molecular Sciences. 24(16). 12657–12657. 5 indexed citations
7.
Hasegawa, Atsuhiko, Megumi Murata, Yoshiko Nagano, et al.. (2023). Vaccination with short-term-cultured autologous PBMCs efficiently activated STLV-1-specific CTLs in naturally STLV-1-infected Japanese monkeys with impaired CTL responses. PLoS Pathogens. 19(2). e1011104–e1011104. 3 indexed citations
8.
Pezzotti, Giuseppe, Eriko Ohgitani, Yuki Fujita, et al.. (2023). Raman Fingerprints of SARS-CoV-2 Omicron Subvariants: Molecular Roots of Virological Characteristics and Evolutionary Directions. ACS Infectious Diseases. 9(11). 2226–2251. 3 indexed citations
9.
Nomoto, Hidetoshi, Satoshi Kutsuna, Kazu Okuma, et al.. (2021). No SARS-CoV-2 RNA detected in the convalescent plasma of COVID-19 patients with different disease severity. Journal of Infection and Chemotherapy. 27(4). 653–655. 2 indexed citations
10.
Kuramitsu, Madoka, et al.. (2020). First case of molecularly identified and genetically characterized human T-cell leukemia virus type 2 infection in a pregnant woman in non-endemic Japan. Journal of Virological Methods. 287. 114005–114005. 1 indexed citations
11.
Tezuka, Kenta, Kazu Okuma, Shoko Miura, et al.. (2020). HTLV-1 targets human placental trophoblasts in seropositive pregnant women. Journal of Clinical Investigation. 130(11). 6171–6186. 18 indexed citations
12.
Murata, Megumi, Jun‐ichirou Yasunaga, Madoka Kuramitsu, et al.. (2020). Frequent horizontal and mother-to-child transmission may contribute to high prevalence of STLV-1 infection in Japanese macaques. Retrovirology. 17(1). 15–15. 9 indexed citations
13.
Momose, Haruka, Sahoko Matsuoka, Asako Murayama, et al.. (2018). Evaluation of in vitro screening and diagnostic kits for hepatitis C virus infection. Journal of Clinical Virology. 105. 97–102. 18 indexed citations
16.
Tezuka, Kenta, Madoka Kuramitsu, Kazu Okuma, et al.. (2016). Development of a novel dengue virus serotype‐specific multiplex real‐time reverse transcription–polymerase chain reaction assay for blood screening. Transfusion. 56(12). 3094–3100. 6 indexed citations
17.
Okuma, Kazu, Yoshiaki Takahashi, Reiko Tanaka, et al.. (2011). A recombinant vesicular stomatitis virus encoding HIV-1 receptors and human OX40 ligand efficiently eliminates HIV-1–infected CD4-positive T cells expressing OX40. Human Immunology. 72(4). 295–304. 4 indexed citations
19.
Okuma, Kazu, Kevin P. Dalton, Linda Buonocore, Elizabeth Ramsburg, & John K. Rose. (2003). Development of a Novel Surrogate Virus for Human T-Cell Leukemia Virus Type 1: Inhibition of Infection by Osteoprotegerin. Journal of Virology. 77(15). 8562–8569. 15 indexed citations
20.
Okuma, Kazu, Minoru Nakamura, Shuji Nakano, Yoshiyuki Niho, & Yoshiharu Matsuura. (1999). Host Range of Human T-Cell Leukemia Virus Type I Analyzed by a Cell Fusion-Dependent Reporter Gene Activation Assay. Virology. 254(2). 235–244. 106 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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