Mary C. Savin

2.2k total citations
89 papers, 1.7k citations indexed

About

Mary C. Savin is a scholar working on Soil Science, Plant Science and Pollution. According to data from OpenAlex, Mary C. Savin has authored 89 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Soil Science, 31 papers in Plant Science and 24 papers in Pollution. Recurrent topics in Mary C. Savin's work include Soil Carbon and Nitrogen Dynamics (43 papers), Soil and Water Nutrient Dynamics (19 papers) and Pharmaceutical and Antibiotic Environmental Impacts (15 papers). Mary C. Savin is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (43 papers), Soil and Water Nutrient Dynamics (19 papers) and Pharmaceutical and Antibiotic Environmental Impacts (15 papers). Mary C. Savin collaborates with scholars based in United States, Brazil and Italy. Mary C. Savin's co-authors include José A. Amador, Josef H. Görres, Kristofor R. Brye, Jennifer L. Martin, Murielle M. LeGresley, Juliette N. Rooney‐Varga, Tatsuya Akiyama, Deborah A. Neher, Shilpa Sood and Edward E. Gbur and has published in prestigious journals such as The Science of The Total Environment, Water Research and Soil Biology and Biochemistry.

In The Last Decade

Mary C. Savin

86 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary C. Savin United States 26 709 621 379 310 255 89 1.7k
Anne Winding Denmark 32 589 0.8× 978 1.6× 544 1.4× 648 2.1× 368 1.4× 66 2.5k
Yongxin Lin China 27 1.2k 1.7× 1.4k 2.2× 775 2.0× 452 1.5× 467 1.8× 93 2.9k
Lin Zhu China 25 745 1.1× 275 0.4× 673 1.8× 236 0.8× 534 2.1× 85 2.3k
R. Maarit Niemi Finland 22 440 0.6× 623 1.0× 410 1.1× 249 0.8× 456 1.8× 43 1.8k
Dinku M. Endale United States 27 1.1k 1.5× 481 0.8× 433 1.1× 249 0.8× 674 2.6× 76 2.2k
Naijia Xiao United States 10 471 0.7× 1.1k 1.7× 501 1.3× 351 1.1× 137 0.5× 17 2.0k
Lily Pereg Australia 21 566 0.8× 414 0.7× 585 1.5× 176 0.6× 149 0.6× 40 1.7k
Margarete Watzka Austria 15 900 1.3× 725 1.2× 388 1.0× 102 0.3× 332 1.3× 27 1.6k
Jun Murase Japan 29 651 0.9× 1.2k 1.9× 633 1.7× 264 0.9× 710 2.8× 104 2.5k
Nathalie Fromin France 32 1.2k 1.7× 1.2k 1.9× 968 2.6× 415 1.3× 421 1.7× 56 3.0k

Countries citing papers authored by Mary C. Savin

Since Specialization
Citations

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

Fields of papers citing papers by Mary C. Savin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary C. Savin. 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 Mary C. Savin. The network helps show where Mary C. Savin may publish in the future.

Co-authorship network of co-authors of Mary C. Savin

This figure shows the co-authorship network connecting the top 25 collaborators of Mary C. Savin. A scholar is included among the top collaborators of Mary C. Savin 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 Mary C. Savin. Mary C. Savin 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.
Savin, Mary C., et al.. (2024). Biphasic models improved S‐metolachlor dissipation endpoint predictions. Agrosystems Geosciences & Environment. 8(1). 1 indexed citations
2.
Ashworth, Amanda J., et al.. (2024). Leaching of antibiotic resistance genes and microbial assemblages following poultry litter applications in karst and non-karst landscapes. The Science of The Total Environment. 934. 172905–172905. 6 indexed citations
3.
Coffey, K. P., et al.. (2023). Intake, digestibility, rumen fermentation and nitrogen balance in sheep offered alfalfa silage with different proportions of the tannin-rich legume sericea lespedeza. Animal Feed Science and Technology. 308. 115863–115863. 2 indexed citations
4.
Ashworth, Amanda J., Kristina M. Feye, Steven C. Ricke, et al.. (2023). Long-term impacts of conservation pasture management in manuresheds on system-level microbiome and antibiotic resistance genes. Frontiers in Microbiology. 14. 1227006–1227006. 2 indexed citations
5.
Savin, Mary C., et al.. (2022). Resistance of Palmer amaranth (Amaranthus palmeri) to S-metolachlor in the midsouthern United States. Weed Science. 70(4). 380–389. 9 indexed citations
6.
Gurmessa, Biyensa, Amanda J. Ashworth, Yichao Yang, et al.. (2021). Variations in bacterial community structure and antimicrobial resistance gene abundance in cattle manure and poultry litter. Environmental Research. 197. 111011–111011. 25 indexed citations
7.
Yang, Yichao, Amanda J. Ashworth, Jennifer M. DeBruyn, et al.. (2020). Antimicrobial resistant gene prevalence in soils due to animal manure deposition and long-term pasture management. PeerJ. 8. e10258–e10258. 16 indexed citations
8.
Savin, Mary C., et al.. (2019). Evaluating Rice Straw as a Substitute for Barley Straw in Inhibiting Algal Growth in Farm Ponds. Journal of the Arkansas Academy of Science. 20(1). 69–79. 2 indexed citations
9.
Brye, Kristofor R., et al.. (2019). Carbon and nitrogen properties of particulate organic matter fractions in an Alfisol in the mid-Southern, USA. Geoderma Regional. 20. e00248–e00248. 15 indexed citations
10.
Suhartono, Suhartono, Mary C. Savin, & Edward E. Gbur. (2016). Genetic redundancy and persistence of plasmid-mediated trimethoprim/sulfamethoxazole resistant effluent and stream water Escherichia coli. Water Research. 103. 197–204. 16 indexed citations
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13.
Savin, Mary C., et al.. (2014). Presence of antibiotic resistance genes from wastewater treatment plant effluent in Northwest Arkansas. Journal of the Arkansas Academy of Science. 15(1). 40–46. 3 indexed citations
14.
15.
Savin, Mary C., et al.. (2014). Nematodes as Bioindicators of Ecosystem Recovery During Phytoremediation of Crude Oil Contaminated Soil. International Journal of Phytoremediation. 17(2). 182–190. 4 indexed citations
16.
Asfahl, Kyle L. & Mary C. Savin. (2012). Dead-end hollow-fiber ultrafiltration for concentration and enumeration of Escherichia coli and broad-host-range plasmid DNA from wastewater. Journal of Microbiological Methods. 88(3). 430–432. 2 indexed citations
17.
Akiyama, Tatsuya & Mary C. Savin. (2010). Populations of antibiotic-resistant coliform bacteria change rapidly in a wastewater effluent dominated stream. The Science of The Total Environment. 408(24). 6192–6201. 81 indexed citations
18.
Akiyama, Tatsuya, Kyle L. Asfahl, & Mary C. Savin. (2010). Broad‐Host‐Range Plasmids in Treated Wastewater Effluent and Receiving Streams. Journal of Environmental Quality. 39(6). 2211–2215. 31 indexed citations
19.
Savin, Mary C., et al.. (2004). Plankton Diversity in the Bay of Fundy as Measured by Morphological and Molecular Methods. Microbial Ecology. 48(1). 51–65. 89 indexed citations
20.
Brye, Kristofor R., et al.. (2003). Short‐Term Effects of Land Leveling on Soil Physical Properties and Microbial Biomass. Soil Science Society of America Journal. 67(5). 1405–1417. 40 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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