Mitchell S. Kostich

1.2k total citations · 1 hit paper
15 papers, 973 citations indexed

About

Mitchell S. Kostich is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Molecular Biology. According to data from OpenAlex, Mitchell S. Kostich has authored 15 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pollution, 8 papers in Health, Toxicology and Mutagenesis and 5 papers in Molecular Biology. Recurrent topics in Mitchell S. Kostich's work include Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Environmental Toxicology and Ecotoxicology (5 papers) and Molecular Biology Techniques and Applications (4 papers). Mitchell S. Kostich is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (7 papers), Environmental Toxicology and Ecotoxicology (5 papers) and Molecular Biology Techniques and Applications (4 papers). Mitchell S. Kostich collaborates with scholars based in United States, Ghana and United Kingdom. Mitchell S. Kostich's co-authors include James M. Lazorchak, Angela L. Batt, Susan T. Glassmeyer, Maura J. Donohue, Anthony R. Olsen, Thomas M. Kincaid, Edward T. Furlong, J. Scott Boone, Dana W. Kolpin and Heath Mash and has published in prestigious journals such as Environmental Science & Technology, Analytical Chemistry and The Science of The Total Environment.

In The Last Decade

Mitchell S. Kostich

15 papers receiving 942 citations

Hit Papers

Concentrations of prioritized pharmaceuticals in effluent... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitchell S. Kostich United States 10 626 410 188 137 100 15 973
Paola Bottoni Italy 17 783 1.3× 369 0.9× 177 0.9× 192 1.4× 93 0.9× 27 1.1k
Ikumi Tamura Japan 11 801 1.3× 515 1.3× 173 0.9× 227 1.7× 119 1.2× 21 1.1k
Li Yao China 22 763 1.2× 449 1.1× 157 0.8× 160 1.2× 79 0.8× 44 1.2k
Diana C. António Italy 8 737 1.2× 450 1.1× 254 1.4× 185 1.4× 129 1.3× 10 1.1k
Miriam Biel-Maeso Spain 11 606 1.0× 302 0.7× 138 0.7× 175 1.3× 69 0.7× 14 844
Zhengxin Xie China 18 837 1.3× 563 1.4× 282 1.5× 156 1.1× 92 0.9× 34 1.3k
Silvia González Alonso Spain 8 616 1.0× 309 0.8× 140 0.7× 204 1.5× 82 0.8× 12 840
Elodie Moreau-Guigon France 15 743 1.2× 460 1.1× 145 0.8× 108 0.8× 91 0.9× 25 1.1k
Silke Hickmann Germany 4 880 1.4× 376 0.9× 212 1.1× 195 1.4× 113 1.1× 4 1.3k
Huaijun Xie China 18 748 1.2× 368 0.9× 207 1.1× 140 1.0× 82 0.8× 33 1.2k

Countries citing papers authored by Mitchell S. Kostich

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell S. Kostich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitchell S. Kostich

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

All Works

15 of 15 papers shown
1.
Martinson, John, David C. Bencic, Gregory P. Toth, et al.. (2021). De Novo Assembly of the Nearly Complete Fathead Minnow Reference Genome Reveals a Repetitive but Compact Genome. Environmental Toxicology and Chemistry. 41(2). 448–461. 16 indexed citations
2.
Toth, Gregory P., David C. Bencic, John Martinson, et al.. (2021). Development of omics biomarkers for estrogen exposure using mRNA, miRNA and piRNAs. Aquatic Toxicology. 235. 105807–105807. 5 indexed citations
3.
Kostich, Mitchell S., David C. Bencic, Angela L. Batt, et al.. (2019). Multigene Biomarkers of Pyrethroid Exposure: Exploratory Experiments. Environmental Toxicology and Chemistry. 38(11). 2436–2446. 5 indexed citations
4.
Kostich, Mitchell S.. (2017). A statistical framework for applying RNA profiling to chemical hazard detection. Chemosphere. 188. 49–59. 4 indexed citations
5.
Biales, Adam, Mitchell S. Kostich, Angela L. Batt, et al.. (2016). Initial development of a multigene omics-based exposure biomarker for pyrethroid pesticides. Aquatic Toxicology. 179. 27–35. 6 indexed citations
6.
Glassmeyer, Susan T., Edward T. Furlong, Dana W. Kolpin, et al.. (2016). Nationwide reconnaissance of contaminants of emerging concern in source and treated drinking waters of the United States. The Science of The Total Environment. 581-582. 909–922. 184 indexed citations
7.
Kostich, Mitchell S., Robert W. Flick, Angela L. Batt, et al.. (2016). Aquatic concentrations of chemical analytes compared to ecotoxicity estimates. The Science of The Total Environment. 579. 1649–1657. 19 indexed citations
8.
Batt, Angela L., Thomas M. Kincaid, Mitchell S. Kostich, James M. Lazorchak, & Anthony R. Olsen. (2015). Evaluating the extent of pharmaceuticals in surface waters of the United States using a National-scale Rivers and Streams Assessment survey. Environmental Toxicology and Chemistry. 35(4). 874–881. 68 indexed citations
9.
Biales, Adam, Mitchell S. Kostich, Robert M. Burgess, et al.. (2013). Linkage of Genomic Biomarkers to Whole Organism End Points in a Toxicity Identification Evaluation (TIE). Environmental Science & Technology. 47(3). 1306–1312. 19 indexed citations
10.
Kostich, Mitchell S., Angela L. Batt, & James M. Lazorchak. (2013). Concentrations of prioritized pharmaceuticals in effluents from 50 large wastewater treatment plants in the US and implications for risk estimation. Environmental Pollution. 184. 354–359. 381 indexed citations breakdown →
11.
Li, Zhenhong, Kevin J. Kroll, Kathleen Jensen, et al.. (2011). A computational model of the hypothalamic - pituitary - gonadal axis in female fathead minnows (Pimephales promelas) exposed to 17α-ethynylestradiol and 17β-trenbolone. BMC Systems Biology. 5(1). 63–63. 34 indexed citations
12.
Kostich, Mitchell S., Angela L. Batt, Susan T. Glassmeyer, & James M. Lazorchak. (2010). Predicting variability of aquatic concentrations of human pharmaceuticals. The Science of The Total Environment. 408(20). 4504–4510. 27 indexed citations
13.
Kostich, Mitchell S. & James M. Lazorchak. (2007). Risks to aquatic organisms posed by human pharmaceutical use. The Science of The Total Environment. 389(2-3). 329–339. 173 indexed citations
14.
Donohue, Maura J., Jennifer M. Best, Anthony W. Smallwood, et al.. (2007). Differentiation of Aeromonas Isolated from Drinking Water Distribution Systems Using Matrix-Assisted Laser Desorption/Ionization-Mass Spectrometry. Analytical Chemistry. 79(5). 1939–1946. 27 indexed citations
15.
Wang, Y. Lynn, Maureen Laverty, Suxing Liu, et al.. (2002). A reference database for tumor-related genes co-expressed with interleukin-8 using genome-scale in silico analysis. BMC Genomics. 3(1). 29–29. 5 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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