Shannon M. Mitchell

1.9k total citations
15 papers, 1.5k citations indexed

About

Shannon M. Mitchell is a scholar working on Pollution, Molecular Medicine and Pharmacology. According to data from OpenAlex, Shannon M. Mitchell has authored 15 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pollution, 5 papers in Molecular Medicine and 4 papers in Pharmacology. Recurrent topics in Shannon M. Mitchell's work include Pharmaceutical and Antibiotic Environmental Impacts (10 papers), Antibiotic Resistance in Bacteria (5 papers) and Antibiotics Pharmacokinetics and Efficacy (4 papers). Shannon M. Mitchell is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (10 papers), Antibiotic Resistance in Bacteria (5 papers) and Antibiotics Pharmacokinetics and Efficacy (4 papers). Shannon M. Mitchell collaborates with scholars based in United States, Chile and Tanzania. Shannon M. Mitchell's co-authors include Jeffrey L. Ullman, Richard J. Watts, Amy L. Teel, Stephen M. Shortell, Craig Cogger, Craig Frear, Douglas R. Call, S. Murugan, Mushtaque Ahmad and Steven A. Abrams and has published in prestigious journals such as The Science of The Total Environment, Applied and Environmental Microbiology and Bioresource Technology.

In The Last Decade

Shannon M. Mitchell

15 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shannon M. Mitchell United States	14	701	228	225	189	148	15	1.5k
Vishal Diwan India	31	940 1.3×	292 1.3×	185 0.8×	459 2.4×	127 0.9×	109	2.8k
Elena Martínez United States	19	890 1.3×	296 1.3×	206 0.9×	710 3.8×	142 1.0×	65	3.4k
Tsung‐Hsien Yu Taiwan	13	694 1.0×	68 0.3×	231 1.0×	44 0.2×	275 1.9×	38	1.1k
Laurence Haller Switzerland	20	745 1.1×	204 0.9×	785 3.5×	212 1.1×	388 2.6×	31	3.2k
Mizanur Rahman Bangladesh	28	358 0.5×	62 0.3×	90 0.4×	115 0.6×	185 1.3×	170	2.7k
Naoko Watanabe Japan	25	396 0.6×	698 3.1×	117 0.5×	85 0.4×	120 0.8×	75	2.9k
Amir Sapkota United States	34	1.3k 1.8×	161 0.7×	244 1.1×	143 0.8×	1.6k 10.8×	102	3.9k
David T. Tan United States	12	594 0.8×	31 0.1×	202 0.9×	179 0.9×	167 1.1×	26	905
Natalie M. Johnson United States	22	586 0.8×	27 0.1×	164 0.7×	155 0.8×	675 4.6×	52	2.3k
Keeve E. Nachman United States	33	922 1.3×	82 0.4×	243 1.1×	252 1.3×	1.4k 9.1×	101	3.9k

Countries citing papers authored by Shannon M. Mitchell

Since Specialization

Citations

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

Fields of papers citing papers by Shannon M. Mitchell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shannon M. Mitchell. 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 Shannon M. Mitchell. The network helps show where Shannon M. Mitchell may publish in the future.

Co-authorship network of co-authors of Shannon M. Mitchell

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

All Works

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15 of 15 papers shown

Ma, Jingwei, et al.. (2021). Effects of different antibiotic operation modes on anaerobic digestion of dairy manure: Focus on microbial population dynamics. Journal of environmental chemical engineering. 9(4). 105521–105521. 13 indexed citations

Osorio, Claudia, Nuan Wen, Jaime H. Mejías, et al.. (2020). Directed-Mutagenesis of Flavobacterium meningosepticum Prolyl-Oligopeptidase and a Glutamine-Specific Endopeptidase From Barley. Frontiers in Nutrition. 7. 11–11. 14 indexed citations

Mitchell, Shannon M. & Jeffrey L. Ullman. (2016). Removal of Phosphorus, BOD, and Pharmaceuticals by Rapid Rate Sand Filtration and Ultrafiltration Systems. Journal of Environmental Engineering. 142(11). 16 indexed citations

Mitchell, Shannon M., et al.. (2016). Fate of Antibiotics and Antibiotic Resistance during Digestion and Composting: A Review. Journal of Environmental Quality. 45(2). 537–545. 158 indexed citations

Murugan, S., Shannon M. Mitchell, & Douglas R. Call. (2016). Not All Antibiotic Use Practices in Food-Animal Agriculture Afford the Same Risk. Journal of Environmental Quality. 45(2). 618–629. 24 indexed citations

Mitchell, Shannon M., Jeffrey L. Ullman, Amy L. Teel, & Richard J. Watts. (2015). Hydrolysis of amphenicol and macrolide antibiotics: Chloramphenicol, florfenicol, spiramycin, and tylosin. Chemosphere. 134. 504–511. 133 indexed citations

Mitchell, Shannon M., Jeffrey L. Ullman, Andy I. Bary, et al.. (2015). Antibiotic Degradation During Thermophilic Composting. Water Air & Soil Pollution. 226(2). 89 indexed citations

Mitchell, Shannon M., S. Murugan, Jeffrey L. Ullman, Craig Frear, & Douglas R. Call. (2014). Evaluation of 27 different biochars for potential sequestration of antibiotic residues in food animal production environments. Journal of environmental chemical engineering. 3(1). 162–169. 45 indexed citations

Mitchell, Shannon M., Jeffrey L. Ullman, Amy L. Teel, Richard J. Watts, & Craig Frear. (2013). The effects of the antibiotics ampicillin, florfenicol, sulfamethazine, and tylosin on biogas production and their degradation efficiency during anaerobic digestion. Bioresource Technology. 149. 244–252. 160 indexed citations

10.

Mitchell, Shannon M., Jeffrey L. Ullman, Amy L. Teel, & Richard J. Watts. (2013). pH and temperature effects on the hydrolysis of three β-lactam antibiotics: Ampicillin, cefalotin and cefoxitin. The Science of The Total Environment. 466-467. 547–555. 216 indexed citations

11.

Mitchell, Shannon M., Mushtaque Ahmad, Amy L. Teel, & Richard J. Watts. (2013). Degradation of Perfluorooctanoic Acid by Reactive Species Generated through Catalyzed H₂O₂ Propagation Reactions. Environmental Science & Technology Letters. 1(1). 117–121. 142 indexed citations

12.

Murugan, S., Shannon M. Mitchell, Jeffrey L. Ullman, & Douglas R. Call. (2011). β-Lactams and Florfenicol Antibiotics Remain Bioactive in Soils while Ciprofloxacin, Neomycin, and Tetracycline Are Neutralized. Applied and Environmental Microbiology. 77(20). 7255–7260. 80 indexed citations

13.

Mitchell, Shannon M., Stefanie Rogers, Penni D Hicks, et al.. (2009). High frequencies of elevated alkaline phosphatase activity and rickets exist in extremely low birth weight infants despite current nutritional support. BMC Pediatrics. 9(1). 47–47. 104 indexed citations

14.

Timmons, Brenda C., Shannon M. Mitchell, Christopher J. Gilpin, & Mala Mahendroo. (2006). Dynamic Changes in the Cervical Epithelial Tight Junction Complex and Differentiation Occur during Cervical Ripening and Parturition. Endocrinology. 148(3). 1278–1287. 49 indexed citations

15.

Mitchell, Shannon M. & Stephen M. Shortell. (2000). The Governance and Management of Effective Community Health Partnerships: A Typology for Research, Policy, and Practice. Milbank Quarterly. 78(2). 241–289. 306 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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