Mark Sunohara

948 total citations · 1 hit paper
20 papers, 758 citations indexed

About

Mark Sunohara is a scholar working on Ecology, Environmental Chemistry and Water Science and Technology. According to data from OpenAlex, Mark Sunohara has authored 20 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Ecology, 7 papers in Environmental Chemistry and 6 papers in Water Science and Technology. Recurrent topics in Mark Sunohara's work include Soil and Water Nutrient Dynamics (7 papers), Fecal contamination and water quality (4 papers) and Microbial Community Ecology and Physiology (3 papers). Mark Sunohara is often cited by papers focused on Soil and Water Nutrient Dynamics (7 papers), Fecal contamination and water quality (4 papers) and Microbial Community Ecology and Physiology (3 papers). Mark Sunohara collaborates with scholars based in Canada and Brazil. Mark Sunohara's co-authors include David R. Lapen, Angela Kross, Heather McNairn, Catherine Champagne, Edward Topp, N. Gottschall, Graham Wilkes, Steven K. Frey, Izhar U. H. Khan and M. J. Edwards and has published in prestigious journals such as The Science of The Total Environment, Applied and Environmental Microbiology and Frontiers in Microbiology.

In The Last Decade

Mark Sunohara

20 papers receiving 740 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Assessment of RapidEye vegetation indices for estimation of leaf area index and biomass in corn and soybean crops

2014 356 citations Angela Kross, Heather McNairn et al. International Journal of Applied Earth Observation and Geoinformation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Sunohara Canada	12	394	249	208	177	150	20	758
János Tamás Hungary	15	258 0.7×	145 0.6×	263 1.3×	53 0.3×	152 1.0×	115	790
Richard E. Zartman United States	18	139 0.4×	198 0.8×	312 1.5×	100 0.6×	161 1.1×	73	1.0k
Attila Nagy Hungary	13	246 0.6×	125 0.5×	206 1.0×	61 0.3×	152 1.0×	89	650
D. C. Slack United States	15	172 0.4×	149 0.6×	210 1.0×	108 0.6×	216 1.4×	78	866
Anne M. Spain United States	11	493 1.3×	133 0.5×	181 0.9×	245 1.4×	49 0.3×	12	1.2k
Henian Wang China	17	214 0.5×	148 0.6×	54 0.3×	338 1.9×	333 2.2×	32	949
C. J. Hurst United States	12	185 0.5×	115 0.5×	176 0.8×	139 0.8×	50 0.3×	24	992
Marcos Vinícius da Silva Brazil	16	349 0.9×	216 0.9×	202 1.0×	191 1.1×	299 2.0×	132	970
Mira Kattwinkel Germany	18	310 0.8×	63 0.3×	121 0.6×	141 0.8×	207 1.4×	31	1.1k
Mette Lægdsmand Denmark	19	149 0.4×	220 0.9×	240 1.2×	165 0.9×	84 0.6×	31	1.0k

Countries citing papers authored by Mark Sunohara

Since Specialization

Citations

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

Fields of papers citing papers by Mark Sunohara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Sunohara

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Sunohara. A scholar is included among the top collaborators of Mark Sunohara 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 Mark Sunohara. Mark Sunohara 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

Pham, Phillip, Yichao Shi, Izhar U. H. Khan, et al.. (2024). The functions and factors governing fungal communities and diversity in agricultural waters: insights into the ecosystem services aquatic mycobiota provide. Frontiers in Microbiology. 15. 1460330–1460330. 1 indexed citations

Khan, Izhar U. H., et al.. (2024). Examining the impact of agricultural drainage ditch management on in-stream bacterial communities involved in nitrogen cycling: insights from the Environmental Change One Health Observatory (ECO2). Frontiers in Sustainable Food Systems. 8. 4 indexed citations

Shi, Yichao, Izhar U. H. Khan, Devon Radford, et al.. (2023). Core and conditionally rare taxa as indicators of agricultural drainage ditch and stream health and function. BMC Microbiology. 23(1). 62–62. 9 indexed citations

Crann, Carley, Richard T. Amos, Ian D. Clark, et al.. (2022). Relationships between carbon age and CO ₂ efflux in agricultural and drainage ditch soils using the thermonuclear bomb pulse. Vadose Zone Journal. 21(5). 7 indexed citations

Kross, Angela, et al.. (2020). Using Artificial Neural Networks and Remotely Sensed Data to Evaluate the Relative Importance of Variables for Prediction of Within-Field Corn and Soybean Yields. Remote Sensing. 12(14). 2230–2230. 35 indexed citations

Lapen, David R., Graham Wilkes, Mark Sunohara, et al.. (2019). Novel virulence, antibiotic resistance and toxin gene-specific PCR-based assays for rapid pathogenicity assessment of Arcobacter faecis and Arcobacter lanthieri. BMC Microbiology. 19(1). 11–11. 22 indexed citations

Liu, Linda, M. J. Edwards, Steven K. Frey, et al.. (2018). Quantitative real-time PCR-based assessment of tile drainage management influences on bacterial pathogens in tile drainage and groundwater. The Science of The Total Environment. 624. 1586–1597. 2 indexed citations

Lapen, David R., et al.. (2017). Soil CO2, CH4, and N2O fluxes over and between tile drains on corn, soybean, and forage fields under tile drainage management. Nutrient Cycling in Agroecosystems. 109(2). 115–132. 13 indexed citations

Sunohara, Mark, N. Gottschall, Graham Wilkes, et al.. (2016). Controlling tile drainage during the growing season in Eastern Canada to reduce nitrogen, phosphorus, and bacteria loading to surface water. Agricultural Water Management. 178. 159–170. 49 indexed citations

10.

Frey, Steven K., Edward Topp, Izhar U. H. Khan, et al.. (2015). Quantitative Campylobacter spp., antibiotic resistance genes, and veterinary antibiotics in surface and ground water following manure application: Influence of tile drainage control. The Science of The Total Environment. 532. 138–153. 61 indexed citations

11.

Kross, Angela, David R. Lapen, Heather McNairn, et al.. (2015). Satellite and in situ derived corn and soybean biomass and leaf area index: Response to controlled tile drainage under varying weather conditions. Agricultural Water Management. 160. 118–131. 13 indexed citations

12.

Sunohara, Mark, et al.. (2015). Incentives and disincentives identified by producers and drainage contractors/experts on the adoption of controlled tile drainage in eastern Ontario, Canada. Water Quality Research Journal. 51(1). 1–16. 7 indexed citations

13.

Seidou, Ousmane, et al.. (2014). Prediction of land‐use conversions for use in watershed‐scale hydrological modeling: a Canadian case study. Canadian Geographies / Géographies canadiennes. 58(4). 499–516. 7 indexed citations

14.

Wilkes, Graham, Julie Brassard, Thomas A. Edge, et al.. (2014). Long-Term Monitoring of Waterborne Pathogens and Microbial Source Tracking Markers in Paired Agricultural Watersheds under Controlled and Conventional Tile Drainage Management. Applied and Environmental Microbiology. 80(12). 3708–3720. 37 indexed citations

15.

Kross, Angela, Heather McNairn, David R. Lapen, Mark Sunohara, & Catherine Champagne. (2014). Assessment of RapidEye vegetation indices for estimation of leaf area index and biomass in corn and soybean crops. International Journal of Applied Earth Observation and Geoinformation. 34. 235–248. 356 indexed citations breakdown →

16.

Frey, Steven K., Edward Topp, M. J. Edwards, et al.. (2013). Tile Drainage Management Influences on Surface-Water and Groundwater Quality following Liquid Manure Application. Journal of Environmental Quality. 42(3). 881–892. 30 indexed citations

17.

Wilkes, Graham, Julie Brassard, Thomas A. Edge, et al.. (2013). Coherence among Different Microbial Source Tracking Markers in a Small Agricultural Stream with or without Livestock Exclusion Practices. Applied and Environmental Microbiology. 79(20). 6207–6219. 32 indexed citations

18.

Crabbé, Philippe, et al.. (2012). Economic benefits of controlled tile drainage: Watershed Evaluation of Beneficial Management Practices, South Nation River basin, Ontario. Water Quality Research Journal. 47(1). 30–41. 22 indexed citations

19.

Wilkes, Graham, Norma J. Ruecker, Norman F. Neumann, et al.. (2012). Spatiotemporal Analysis of Cryptosporidium Species/Genotypes and Relationships with Other Zoonotic Pathogens in Surface Water from Mixed-Use Watersheds. Applied and Environmental Microbiology. 79(2). 434–448. 43 indexed citations

20.

Sunohara, Mark, Mohamed A. Youssef, Edward Topp, & David R. Lapen. (2010). Measured Effect of Agricultural Drainage Water Management on Hydrology, Water Quality, and Crop Yield. 8 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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