Hisashi Inaba

2.2k total citations
67 papers, 1.5k citations indexed

About

Hisashi Inaba is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, Hisashi Inaba has authored 67 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Public Health, Environmental and Occupational Health, 28 papers in Modeling and Simulation and 16 papers in Genetics. Recurrent topics in Hisashi Inaba's work include Mathematical and Theoretical Epidemiology and Ecology Models (36 papers), COVID-19 epidemiological studies (22 papers) and Evolution and Genetic Dynamics (16 papers). Hisashi Inaba is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (36 papers), COVID-19 epidemiological studies (22 papers) and Evolution and Genetic Dynamics (16 papers). Hisashi Inaba collaborates with scholars based in Japan, Netherlands and Russia. Hisashi Inaba's co-authors include Robert Schoen, Toshikazu Kuniya, Hiroshi Nishiura, H. Sekine, Shinji Nakaoka, Shingo Iwami, Junko S. Takeuchi, Naoko Misawa, Yoshio Koyanagi and Kei Sato and has published in prestigious journals such as SHILAP Revista de lepidopterología, Contemporary Sociology A Journal of Reviews and PLoS ONE.

In The Last Decade

Hisashi Inaba

67 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hisashi Inaba Japan 20 886 752 437 189 170 67 1.5k
Lisa Sattenspiel United States 22 721 0.8× 1.0k 1.3× 284 0.6× 475 2.5× 48 0.3× 55 2.1k
Nicolas Bacaër France 20 1.1k 1.2× 745 1.0× 625 1.4× 226 1.2× 10 0.1× 37 1.6k
Yicang Zhou China 22 1.4k 1.6× 1.1k 1.5× 823 1.9× 222 1.2× 7 0.0× 66 1.9k
E. Ann Stanley United States 11 523 0.6× 412 0.5× 285 0.7× 161 0.9× 6 0.0× 15 970
A. G. McKendrick United Kingdom 6 371 0.4× 615 0.8× 190 0.4× 132 0.7× 22 0.1× 6 1.0k
Zindoga Mukandavire Zimbabwe 23 1.1k 1.2× 1.1k 1.5× 409 0.9× 355 1.9× 6 0.0× 79 2.0k
Robin N. Thompson United Kingdom 26 406 0.5× 1.3k 1.7× 145 0.3× 471 2.5× 22 0.1× 108 2.5k
Luis Fernández López Brazil 22 975 1.1× 493 0.7× 144 0.3× 166 0.9× 10 0.1× 69 1.4k
Kaifa Wang China 16 986 1.1× 617 0.8× 611 1.4× 203 1.1× 3 0.0× 82 1.3k
Calistus N. Ngonghala United States 22 808 0.9× 717 1.0× 214 0.5× 137 0.7× 16 0.1× 50 1.6k

Countries citing papers authored by Hisashi Inaba

Since Specialization
Citations

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

Fields of papers citing papers by Hisashi Inaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hisashi Inaba

This figure shows the co-authorship network connecting the top 25 collaborators of Hisashi Inaba. A scholar is included among the top collaborators of Hisashi Inaba 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 Hisashi Inaba. Hisashi Inaba 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.
Diekmann, Odo, Hisashi Inaba, & Horst R. Thieme. (2025). Mathematical epidemiology of infectious diseases: an ongoing challenge. Japan Journal of Industrial and Applied Mathematics. 42(4). 1563–1590. 1 indexed citations
2.
Diekmann, Odo & Hisashi Inaba. (2023). A systematic procedure for incorporating separable static heterogeneity into compartmental epidemic models. Journal of Mathematical Biology. 86(2). 29–29. 12 indexed citations
3.
Kuniya, Toshikazu & Hisashi Inaba. (2023). Hopf bifurcation in a chronological age-structured SIR epidemic model with age-dependent infectivity. Mathematical Biosciences & Engineering. 20(7). 13036–13060. 2 indexed citations
4.
Iwanami, Shoya, Hirofumi Ohashi, Yusuke Asai, et al.. (2020). Should a viral genome stay in the host cell or leave? A quantitative dynamics study of how hepatitis C virus deals with this dilemma. PLoS Biology. 18(7). e3000562–e3000562. 4 indexed citations
5.
Inaba, Hisashi, et al.. (2018). An age-structured epidemic model for the demographic transition. Journal of Mathematical Biology. 77(5). 1299–1339. 6 indexed citations
6.
Iwami, Shingo, Kei Sato, Satoru Morita, et al.. (2015). Pandemic HIV-1 Vpu overcomes intrinsic herd immunity mediated by tetherin. Scientific Reports. 5(1). 12256–12256. 10 indexed citations
7.
Nishiura, Hiroshi, Keisuke Ejima, Kenji Mizumoto, et al.. (2014). Cost-effective length and timing of school closure during an influenza pandemic depend on the severity. Theoretical Biology and Medical Modelling. 11(1). 5–5. 17 indexed citations
8.
Nakaoka, Shinji & Hisashi Inaba. (2013). Demographic modeling of transient amplifying cell population growth. Mathematical Biosciences & Engineering. 11(2). 363–384. 2 indexed citations
9.
Inaba, Hisashi, et al.. (2012). The Malthusian parameter and $R_0$ for heterogeneous populations in periodic environments. Mathematical Biosciences & Engineering. 9(2). 313–346. 14 indexed citations
10.
Inaba, Hisashi. (2011). On a new perspective of the basic reproduction number in heterogeneous environments. Journal of Mathematical Biology. 65(2). 309–348. 102 indexed citations
11.
Inaba, Hisashi & Hiroshi Nishiura. (2008). The state-reproduction number for a multistate class age structured epidemic system and its application to the asymptomatic transmission model. Mathematical Biosciences. 216(1). 77–89. 36 indexed citations
12.
Inaba, Hisashi & H. Sekine. (2004). A mathematical model for Chagas disease with infection-age-dependent infectivity. Mathematical Biosciences. 190(1). 39–69. 80 indexed citations
13.
Inaba, Hisashi. (1995). Human population reproduction via first marriage. Mathematical Population Studies. 5(2). 123–144. 9 indexed citations
14.
Inaba, Hisashi. (1995). On Trends of AIDS and an Estimate for the Number of HIV Infecteds in Japan. 50(4). 31–44. 2 indexed citations
15.
Inaba, Hisashi. (1992). Strong ergodicity for perturbed dual semigroups and application to age-dependent population dynamics. Journal of Mathematical Analysis and Applications. 165(1). 102–132. 4 indexed citations
16.
Inaba, Hisashi. (1990). Threshold and stability results for an age-structured epidemic model. Journal of Mathematical Biology. 28(4). 411–34. 135 indexed citations
17.
Inaba, Hisashi. (1989). Threshold and stability for an age-structured epidemic model. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 1–21. 5 indexed citations
18.
Satō, Shūichi, et al.. (1988). Measurements of shape change of Yoshida sarcoma cells caused by low-energy laser light irradiation. Nippon Laser Igakkaishi. 9(3). 451–454. 1 indexed citations
19.
Inaba, Hisashi. (1988). A semigroup approach to the strong ergodic theorem of the multistate stable population process. Mathematical Population Studies. 1(1). 49–77. 44 indexed citations
20.
Inaba, Hisashi. (1987). [Mathematical foundations of multidimensional stable population theory I: classical theory].. 184(184). 52–77. 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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