Takeshi Miyama

2.8k total citations
25 papers, 322 citations indexed

About

Takeshi Miyama is a scholar working on Infectious Diseases, Modeling and Simulation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Takeshi Miyama has authored 25 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 6 papers in Modeling and Simulation and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Takeshi Miyama's work include COVID-19 epidemiological studies (6 papers), Viral Infections and Vectors (5 papers) and Gastric Cancer Management and Outcomes (4 papers). Takeshi Miyama is often cited by papers focused on COVID-19 epidemiological studies (6 papers), Viral Infections and Vectors (5 papers) and Gastric Cancer Management and Outcomes (4 papers). Takeshi Miyama collaborates with scholars based in Japan, Uganda and Switzerland. Takeshi Miyama's co-authors include T. Kobayashi, Katsuma Hayashi, Ryo Kinoshita, Hiroshi Nishiura, Sung-mok Jung, Asami Anzai, Andrei R. Akhmetzhanov, Natalie M. Linton, Yichi Yang and Ayako Suzuki and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and Vaccine.

In The Last Decade

Takeshi Miyama

24 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takeshi Miyama Japan 9 120 73 64 60 51 25 322
Hashim Talib Hashim Iraq 10 49 0.4× 72 1.0× 22 0.3× 34 0.6× 53 1.0× 97 340
James H.B. Kong China 10 78 0.7× 241 3.3× 21 0.3× 76 1.3× 25 0.5× 15 440
Mihály Sulyok Germany 12 94 0.8× 64 0.9× 35 0.5× 161 2.7× 19 0.4× 32 397
Tingting Cui China 14 47 0.4× 191 2.6× 30 0.5× 122 2.0× 44 0.9× 55 598
Aisha Khan Pakistan 15 90 0.8× 115 1.6× 70 1.1× 62 1.0× 166 3.3× 44 590
Walid Abbas Zaher United Arab Emirates 11 50 0.4× 236 3.2× 29 0.5× 38 0.6× 15 0.3× 23 388
Huimin Huang China 15 48 0.4× 196 2.7× 19 0.3× 56 0.9× 38 0.7× 57 685
Shaun Griffin United States 9 35 0.3× 102 1.4× 25 0.4× 83 1.4× 18 0.4× 54 456
J. Peters New Zealand 8 51 0.4× 73 1.0× 23 0.4× 182 3.0× 22 0.4× 13 476
Mark Gallivan United States 7 92 0.8× 118 1.6× 69 1.1× 62 1.0× 31 0.6× 14 339

Countries citing papers authored by Takeshi Miyama

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Miyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Miyama

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Miyama. A scholar is included among the top collaborators of Takeshi Miyama 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 Takeshi Miyama. Takeshi Miyama 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.
Miyama, Takeshi, et al.. (2024). Irregular seasonality of respiratory syncytial virus infection persists in 2023 in Osaka, Japan. IJID Regions. 13. 100442–100442. 1 indexed citations
2.
Miyama, Takeshi, Kensaku Kakimoto, Nobuhiro Iritani, et al.. (2023). Exploring the threshold for the start of respiratory syncytial virus infection epidemic season using sentinel surveillance data in Japan. Frontiers in Public Health. 11. 1062726–1062726. 4 indexed citations
3.
Bonfoh, Bassirou, Brama Koné, Takeshi Miyama, et al.. (2022). Healthy Aging: Comparative Analysis of Local Perception and Diet in Two Health Districts of Côte d’Ivoire and Japan. SHILAP Revista de lepidopterología. 3. 817371–817371. 1 indexed citations
5.
6.
Miyama, Takeshi, Sung-mok Jung, & Hiroshi Nishiura. (2022). Decrease in overdispersed secondary transmission of COVID-19 over time in Japan. Epidemiology and Infection. 150. 1–29.
7.
Miyama, Takeshi, Nobuhiro Iritani, Takayuki Nishio, et al.. (2021). Seasonal shift in epidemics of respiratory syncytial virus infection in Japan. Epidemiology and Infection. 149. e55–e55. 23 indexed citations
8.
Miyama, Takeshi, Sung-mok Jung, Katsuma Hayashi, et al.. (2021). Phenomenological and mechanistic models for predicting early transmission data of COVID-19. Mathematical Biosciences & Engineering. 19(2). 2043–2055. 4 indexed citations
9.
Miyama, Takeshi, Joseph Byaruhanga, Leo Uchida, et al.. (2020). Effect of chemical tick control practices on tick infestation and Theileria parva infection in an intensive dairy production region of Uganda. Ticks and Tick-borne Diseases. 11(4). 101438–101438. 11 indexed citations
11.
Uchida, Leo, Joseph Byaruhanga, Takeshi Miyama, et al.. (2019). FTA-Sodium hydroxide-based polymerase chain reaction (PCR): An efficient and cheaper option for <i>Theileria parva</i> detection in dairy cattle in Mbarara, Uganda. Journal of Veterinary Medical Science. 82(2). 188–192. 3 indexed citations
12.
Miyama, Takeshi, et al.. (2017). Herd-level risk factors associated with Leptospira Hardjo infection in dairy herds in the southern Tohoku, Japan. Preventive Veterinary Medicine. 149. 15–20. 12 indexed citations
13.
Miyama, Takeshi, et al.. (1992). Activities of thymidylate synthetase and thymidine kinase in gastric cancer. Surgical Oncology. 1(3). 215–221. 12 indexed citations
14.
Konishi, Takaaki, Takeshi Miyama, K Mafune, et al.. (1992). [Mechanism of synergism and clinical results of sequential methotrexate and 5-fluorouracil in the treatment of gastric cancer].. PubMed. 19(7). 946–53. 2 indexed citations
15.
Takubo, Kaiyo, et al.. (1991). Basaloid‐Squamous Carcinoma of the Esophagus with Marked Deposition of Basement Membrane Substance. Acta Pathologica Japonica. 41(1). 59–64. 43 indexed citations
16.
Konishi, Toshiro, Ken‐ichi Mafune, Junji Yoshida, et al.. (1990). Sequential methotrexate and 5-fluorouracil in advanced gastric cancer.. The Japanese Journal of Gastroenterological Surgery. 23(8). 2024–2032. 2 indexed citations
17.
Konishi, Tatsuya, et al.. (1990). KTP laser and its clinical application. Nippon Laser Igakkaishi. 11(Supplement). 425–428. 1 indexed citations
18.
Koike, Hiroshi, et al.. (1989). [Effect of sequential MTX/5-FU therapy for a case of disseminated intravascular coagulation syndrome associated with recurrence of gastric cancer--a case report].. PubMed. 90(7). 1117–21. 1 indexed citations
19.
Miyama, Takeshi, et al.. (1970). Mercury contents in the red cells, plasma, urine and hair from workers exposed to mercury vapour. Sangyo Igaku. 12(6). 270–270. 1 indexed citations
20.
Matsumoto, N., Takeshi Miyama, Takeo Suzuki, & H Katsunuma. (1967). Placental Transfer of Mercuric Chloride and Phenylmercury Acetate in Mice. Sangyo Igaku. 9(3). 345–346. 4 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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