Miki Sudo

573 total citations
34 papers, 457 citations indexed

About

Miki Sudo is a scholar working on Pollution, Environmental Chemistry and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Miki Sudo has authored 34 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pollution, 11 papers in Environmental Chemistry and 9 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Miki Sudo's work include Pesticide and Herbicide Environmental Studies (13 papers), Soil and Water Nutrient Dynamics (8 papers) and Pharmaceutical and Antibiotic Environmental Impacts (8 papers). Miki Sudo is often cited by papers focused on Pesticide and Herbicide Environmental Studies (13 papers), Soil and Water Nutrient Dynamics (8 papers) and Pharmaceutical and Antibiotic Environmental Impacts (8 papers). Miki Sudo collaborates with scholars based in Japan. Miki Sudo's co-authors include Takao Kunimatsu, Yoshifumi Hida, Atsushi Yamamoto, Masahisa Nakamura, Hideo Okamura, Naoya Kakutani, Isao Aoyama, Koh‐Ichi Takakura, Yuko Goto and Kyoden YASUMOTO and has published in prestigious journals such as Water Research, Environmental Pollution and Chemosphere.

In The Last Decade

Miki Sudo

33 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miki Sudo Japan 11 258 151 104 70 64 34 457
Takao Kunimatsu Japan 11 152 0.6× 74 0.5× 119 1.1× 51 0.7× 79 1.2× 27 360
Matteo Balderacchi Italy 13 181 0.7× 93 0.6× 63 0.6× 82 1.2× 72 1.1× 21 396
A. Parker United Kingdom 7 260 1.0× 212 1.4× 52 0.5× 49 0.7× 84 1.3× 9 461
Wondi Mersie United States 12 369 1.4× 140 0.9× 162 1.6× 132 1.9× 59 0.9× 34 632
Gladys L. Stephenson Canada 17 389 1.5× 391 2.6× 78 0.8× 71 1.0× 28 0.4× 29 664
Alicia Fabrizio de Iorio Argentina 14 234 0.9× 105 0.7× 78 0.8× 99 1.4× 85 1.3× 34 462
Megan E. Shoda United States 9 214 0.8× 146 1.0× 69 0.7× 74 1.1× 111 1.7× 20 422
Rick van Dam Australia 15 265 1.0× 340 2.3× 93 0.9× 30 0.4× 82 1.3× 25 550
Hernán Gaete Chile 12 194 0.8× 173 1.1× 56 0.5× 55 0.8× 20 0.3× 29 364
Agneta Göthberg Sweden 6 165 0.6× 160 1.1× 39 0.4× 78 1.1× 28 0.4× 7 380

Countries citing papers authored by Miki Sudo

Since Specialization
Citations

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

Fields of papers citing papers by Miki Sudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miki Sudo

This figure shows the co-authorship network connecting the top 25 collaborators of Miki Sudo. A scholar is included among the top collaborators of Miki Sudo 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 Miki Sudo. Miki Sudo 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.
Asakawa, Daichi, et al.. (2023). Quantitation of guanidine derivatives as representative persistent and mobile organic compounds in water: method development. Analytical and Bioanalytical Chemistry. 415(10). 1953–1965. 11 indexed citations
2.
Yamamoto, Atsushi, et al.. (2019). Inhomogeneity of sediment samples in analysis of hexabromocyclododecane. Environmental Monitoring and Assessment. 191(7). 410–410. 2 indexed citations
3.
Goto, Yuko & Miki Sudo. (2018). Uptake and elimination kinetics of trifluralin and pendimethalin in Pheretima spp. and Eisenia spp.. Environmental Science and Pollution Research. 25(13). 12352–12360. 5 indexed citations
4.
Yamamoto, Atsushi, et al.. (2016). A Bayesian approach for estimating hexabromocyclododecane (HBCD) diastereomer compositions in water using data below limit of quantification. Environmental Science and Pollution Research. 24(3). 2667–2674. 3 indexed citations
5.
Yamamoto, Atsushi, et al.. (2014). Distribution and pollutant load of hexabromocyclododecane (HBCD) in sewage treatment plants and water from Japanese Rivers. Chemosphere. 110. 78–84. 34 indexed citations
6.
Sudo, Miki, et al.. (2012). Effect of percolation flow on herbicide loss from rice paddies. Journal of Pesticide Science. 37(2). 140–147. 6 indexed citations
7.
Sudo, Miki, et al.. (2010). Effects for Effluent Loads and Mass Balance of Paddy Fields with Reduction of Fertilizer and Non-puddled Cultivation. JOURNAL OF JAPAN SOCIETY OF HYDROLOGY AND WATER RESOURCES. 23(3). 216–230. 1 indexed citations
8.
Sudo, Miki, et al.. (2010). Research on Characteristics of Turbid Water Effluent from Paddy Fields during the Paddling and the Transplanting Period. 77(2). 113–119. 6 indexed citations
9.
Sudo, Miki, et al.. (2008). Application of Simple Model to Estimation of Herbicide Losses from Seven Paddy Fields Located in Lake Biwa Basin. Journal of Japan Society on Water Environment. 31(11). 677–683. 2 indexed citations
10.
Sudo, Miki, et al.. (2008). Herbicide Discharge from Paddy Fields Located Around Lake Biwa Basin and Development of Simple Model for Estimation of Herbicide Loss. Journal of Japan Society on Water Environment. 31(7). 375–382. 4 indexed citations
11.
Sudo, Miki, et al.. (2006). Reduction of Effluent Loads of Nitrogen and Phosphorus from Paddy Fields. JOURNAL OF JAPAN SOCIETY OF HYDROLOGY AND WATER RESOURCES. 19(5). 360–371. 5 indexed citations
12.
Sudo, Miki, et al.. (2006). Herbicide Discharge from Paddy Fields Located Around Lake Biwa Basin and Factors Affecting Herbicide Losses. Journal of Japan Society on Water Environment. 29(11). 715–721. 4 indexed citations
13.
14.
Sudo, Miki, et al.. (2006). Decrease in herbicide concentrations and affected factors in lagoons located around Lake Biwa. Water Science & Technology. 53(2). 131–138. 4 indexed citations
15.
Fukushima, Toshikazu, Norío Sugiura, Yasushi Honda, et al.. (2002). Application of Simple Bioassay Using Cultured Human Cell Lines to the Assessment of Total Hazards in Lake Water.. Journal of Japan Society on Water Environment. 25(2). 119–124. 4 indexed citations
16.
Sudo, Miki, et al.. (2002). Concentration and loading of pesticide residues in Lake Biwa basin (Japan). Water Research. 36(1). 315–329. 130 indexed citations
17.
Okamura, Hideo, et al.. (2002). Algal growth inhibition by river water pollutants in the agricultural area around Lake Biwa, Japan. Environmental Pollution. 117(3). 411–419. 47 indexed citations
18.
Kyuma, Kazutake, et al.. (2000). Reduction of surface and subsurface effluent loads by no-puddling cultivation in combination with a single application of coated fertilizer in the nursery box.. 71(4). 502–511. 7 indexed citations
19.
Kunimatsu, Takao & Miki Sudo. (1997). Measurement and Evaluation of Nutrient Runoff Loads from Mountainous Forested Lands. Journal of Japan Society on Water Environment. 20(12). 810–815. 8 indexed citations
20.
Kunimatsu, Takao, Rong Luo, Miki Sudo, & Ikuo Takeda. (1994). Runoff Loadings of Materials Causing Water Pollution from a Paddy Field during a Non-planting Period. 1994(170). 9 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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