Masayoshi Mano

1.9k total citations
60 papers, 1.5k citations indexed

About

Masayoshi Mano is a scholar working on Global and Planetary Change, Ecology and Atmospheric Science. According to data from OpenAlex, Masayoshi Mano has authored 60 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Global and Planetary Change, 18 papers in Ecology and 18 papers in Atmospheric Science. Recurrent topics in Masayoshi Mano's work include Plant Water Relations and Carbon Dynamics (33 papers), Atmospheric and Environmental Gas Dynamics (12 papers) and Soil Carbon and Nitrogen Dynamics (12 papers). Masayoshi Mano is often cited by papers focused on Plant Water Relations and Carbon Dynamics (33 papers), Atmospheric and Environmental Gas Dynamics (12 papers) and Soil Carbon and Nitrogen Dynamics (12 papers). Masayoshi Mano collaborates with scholars based in Japan, United States and Bangladesh. Masayoshi Mano's co-authors include Akira Miyata, A. Miyata, Keisuke Ono, Yoshio Inoue, Josep Peñuelas, Yoshinobu Harazono, Walter C. Oechel, R. C. Zulueta, Takahiro Takimoto and Kentaro Hayashi and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Masayoshi Mano

60 papers receiving 1.5k citations

Peers

Masayoshi Mano

GPC

ECOLO

Atsushi Kume Japan

Radosław Juszczak Poland

Giovanni Manca Italy

Marian Pavelka Czechia

Christine Moureaux Belgium

Katja Klumpp France

Lukas Hörtnagl Switzerland

Guofang Miao United States

Valérie Le Dantec France

Thomas G. Pypker Canada

Atsushi Kume Japan

Masayoshi Mano

531 ×0.6

GPC

451 ×0.8

ECOLO

545 ×1.3

454 ×1.1

279 ×0.8

Citations per year, relative to Masayoshi Mano Masayoshi Mano (= 1×) peers Atsushi Kume

Countries citing papers authored by Masayoshi Mano

Since Specialization

Citations

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

Fields of papers citing papers by Masayoshi Mano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayoshi Mano

This figure shows the co-authorship network connecting the top 25 collaborators of Masayoshi Mano. A scholar is included among the top collaborators of Masayoshi Mano 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 Masayoshi Mano. Masayoshi Mano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Oo, Aung Zaw, Akinori Yamamoto, Keisuke Ono, et al.. (2022). Ecosystem carbon dioxide exchange and water use efficiency in a triple-cropping rice paddy in Southern India: A two-year field observation. The Science of The Total Environment. 854. 158541–158541. 9 indexed citations

Kimura, Reiji, et al.. (2016). Surface Heat Flux Analysis in Gobi Desert Steppe, Mongolia – An Observation Study. SOLA. 12(0). 175–180. 8 indexed citations

Masutomi, Yuji, Keisuke Ono, Masayoshi Mano, Atsushi Maruyama, & Akira Miyata. (2016). A land surface model combined with a crop growth model for paddy rice (MATCRO-Rice v. 1) – Part 1: Model description. Geoscientific model development. 9(11). 4133–4154. 19 indexed citations

Masutomi, Yuji, Keisuke Ono, Takahiro Takimoto, et al.. (2016). A land surface model combined with a crop growth model for paddy rice (MATCRO-Rice v. 1) – Part 2: Model validation. Geoscientific model development. 9(11). 4155–4167. 14 indexed citations

Shimizu, Mariko, et al.. (2015). Manure application has an effect on the carbon budget of a managed grassland in southern Hokkaido, Japan. Soil Science & Plant Nutrition. 61(5). 856–872. 14 indexed citations

Ueyama, Masahito, Ryuichi Hirata, Masayoshi Mano, et al.. (2012). Influences of various calculation options on heat, water and carbon fluxes determined by open- and closed-path eddy covariance methods. Tellus B. 64(1). 19048–19048. 82 indexed citations

Shimizu, Makiko, Tao Jin, A. Miyata, et al.. (2010). Comparison of different approaches for estimating carbon budgets in a managed grassland in Hokkaido, Japan. 20–23. 2 indexed citations

Harazono, Yoshinobu, et al.. (2009). Applications of MODIS-visible bands index, greenery ratio to estimate CO2 budget of a rice paddy in Japan. Journal of Agricultural Meteorology. 65(4). 365–374. 14 indexed citations

Huemmrich, K. F., John A. Gamon, C. E. Tweedie, et al.. (2009). Remote sensing of tundra gross ecosystem productivity and light use efficiency under varying temperature and moisture conditions. Remote Sensing of Environment. 114(3). 481–489. 73 indexed citations

10.

Oue, Hiroki, et al.. (2008). Evaluation of Ozone Uptake by the Rice Canopy with the Multi-layer Model. Journal of Agricultural Meteorology. 64(4). 223–232. 22 indexed citations

11.

Kim, Wonsik, et al.. (2008). Quality Assessment of Data from the Daegwallyeong Flux Measurement Station (DFMS) Based on Short-term Experiments. Journal of Agricultural Meteorology. 64(3). 111–120. 7 indexed citations

12.

Ono, Keisuke, Ryuichi Hirata, Masayoshi Mano, et al.. (2007). Systematic Differences in CO2 Fluxes Measured by Open- and Closed-path Eddy Covariance Systems: Influence of Air Density Fluctuations Resulting from Temperature and Water Vapor Transfer. Journal of Agricultural Meteorology. 63(3). 139–155. 7 indexed citations

13.

Mano, Masayoshi, Akira Miyata, Yukio Yasuda, et al.. (2007). Quality Control for the Open-path Eddy Covariance Data. Journal of Agricultural Meteorology. 63(3). 125–138. 24 indexed citations

14.

Nagai, Hideyuki, et al.. (2007). Isotopic disequilibrium between carbon assimilated and respired in a rice paddy as influenced by methanogenesis from CO₂. Journal of Geophysical Research Atmospheres. 112(G2). 5 indexed citations

15.

Harazono, Yoshinobu, Masayoshi Mano, Akira Miyata, et al.. (2006). Temporal and spatial differences of methane flux at arctic tundra in Alaska. Memoirs of National Institute of Polar Research. Special issue. 59. 79–95. 19 indexed citations

16.

Engstrom, Ryan, Allen Hope, Hyojung Kwon, et al.. (2006). Modeling evapotranspiration in Arctic coastal plain ecosystems using a modified BIOME‐BGC model. Journal of Geophysical Research Atmospheres. 111(G2). 34 indexed citations

17.

Mano, Masayoshi, et al.. (2005). Seasonal and Interannual Variability in Growing Season Carbon Budget at a Rice Paddy Field in Central Japan. AGUFM. 2005. 1 indexed citations

18.

Harazono, Yoshinobu, Masayoshi Mano, A. Miyata, Hyojung Kwon, & Walter C. Oechel. (2003). Annual CO2 budget at arctic wet sedge tundra in Barrow and the contribution of winter fluxes. AGU Fall Meeting Abstracts. 2003. 1 indexed citations

19.

Harazono, Yoshinobu, et al.. (2002). Winter Fluxes of CO2 and Energy at Tundra in the Arctic. AGU Fall Meeting Abstracts. 2002. 1 indexed citations

20.

Ito, Seiji, et al.. (1990). Gamma sterilization of sweet potato weevil, Cylas formicarius (Fabricius) (Coleoptera: Curculionidae): effects of irradiation on fertility, longevity, and mating potential.. 69–72. 1 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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