Karen Herbin-Davis

1.1k total citations
15 papers, 877 citations indexed

About

Karen Herbin-Davis is a scholar working on Environmental Chemistry, Health, Toxicology and Mutagenesis and Nutrition and Dietetics. According to data from OpenAlex, Karen Herbin-Davis has authored 15 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Environmental Chemistry, 11 papers in Health, Toxicology and Mutagenesis and 5 papers in Nutrition and Dietetics. Recurrent topics in Karen Herbin-Davis's work include Heavy Metal Exposure and Toxicity (11 papers), Arsenic contamination and mitigation (11 papers) and Selenium in Biological Systems (5 papers). Karen Herbin-Davis is often cited by papers focused on Heavy Metal Exposure and Toxicity (11 papers), Arsenic contamination and mitigation (11 papers) and Selenium in Biological Systems (5 papers). Karen Herbin-Davis collaborates with scholars based in United States, Japan and Australia. Karen Herbin-Davis's co-authors include David J. Thomas, Miroslav Stýblo, John T. Creed, Melinda A. Beck, J. B. Simeonsson, Larry L. Hall, Qing Shi, Shan Lin, Kevin M. Kubachka and Michael F. Hughes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Environmental Science & Technology.

In The Last Decade

Karen Herbin-Davis

14 papers receiving 871 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karen Herbin-Davis United States 13 702 539 267 180 162 15 877
Olga Lidia Valenzuela Mexico 10 651 0.9× 552 1.0× 214 0.8× 125 0.7× 143 0.9× 18 936
Nilima Ghosh India 12 945 1.3× 856 1.6× 284 1.1× 175 1.0× 228 1.4× 14 1.3k
Golam Mahiuddin United States 18 711 1.0× 720 1.3× 242 0.9× 159 0.9× 200 1.2× 23 1.1k
Luz C. Sánchez-Peña Mexico 14 506 0.7× 544 1.0× 202 0.8× 145 0.8× 100 0.6× 29 941
Araceli Hernández‐Zavala Mexico 14 602 0.9× 508 0.9× 307 1.1× 153 0.8× 118 0.7× 26 1.0k
Dave Kalman United States 8 529 0.8× 534 1.0× 125 0.5× 115 0.6× 111 0.7× 12 761
Eliud A. García-Montalvo Mexico 9 390 0.6× 373 0.7× 143 0.5× 192 1.1× 107 0.7× 16 791
Yu Mei Hsueh Taiwan 6 433 0.6× 450 0.8× 194 0.7× 146 0.8× 81 0.5× 9 742
Sarbari Lahiri India 10 652 0.9× 629 1.2× 358 1.3× 190 1.1× 96 0.6× 12 1.1k
Yajuan Xia China 19 727 1.0× 607 1.1× 230 0.9× 144 0.8× 201 1.2× 37 1.1k

Countries citing papers authored by Karen Herbin-Davis

Since Specialization
Citations

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

Fields of papers citing papers by Karen Herbin-Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karen Herbin-Davis. 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 Karen Herbin-Davis. The network helps show where Karen Herbin-Davis may publish in the future.

Co-authorship network of co-authors of Karen Herbin-Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Karen Herbin-Davis. A scholar is included among the top collaborators of Karen Herbin-Davis 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 Karen Herbin-Davis. Karen Herbin-Davis 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.
Griggs, Jennifer J., Liang Chi, Nancy M. Hanley, et al.. (2022). Bioaccessibility of arsenic from contaminated soils and alteration of the gut microbiome in an in vitro gastrointestinal model. Environmental Pollution. 309. 119753–119753. 13 indexed citations
2.
Shi, Qing, Melinda A. Beck, Larry L. Hall, et al.. (2021). A Novel S -Adenosyl-l-methionine:Arsenic(III) Methyltransferase from Rat Liver Cytosol. UNC Libraries.
3.
Karna, Ranju R., Matthew Noerpel, Clay Nelson, et al.. (2020). Bioavailable soil Pb minimized by in situ transformation to plumbojarosite. Proceedings of the National Academy of Sciences. 118(3). 42 indexed citations
4.
Bradham, Karen D., et al.. (2020). Intra- and Interlaboratory Evaluation of an Assay of Soil Arsenic Relative Bioavailability in Mice. Journal of Agricultural and Food Chemistry. 68(9). 2615–2622. 9 indexed citations
5.
Bradham, Karen D., Clay Nelson, Gary Diamond, et al.. (2019). Dietary Lead and Phosphate Interactions Affect Oral Bioavailability of Soil Lead in the Mouse. Environmental Science & Technology. 53(21). 12556–12564. 25 indexed citations
6.
Schwegel, Carol A., Jianping Xue, Michael J. Kohan, et al.. (2012). An in vitro assessment of bioaccessibility of arsenicals in rice and the use of this estimate within a probabilistic exposure model. Journal of Exposure Science & Environmental Epidemiology. 22(4). 369–375. 23 indexed citations
7.
Yokohira, Masanao, Lora L. Arnold, Karen L. Pennington, et al.. (2011). Effect of Sodium Arsenite Dose Administered in the Drinking Water on the Urinary Bladder Epithelium of Female Arsenic (+3 Oxidation State) Methyltransferase Knockout Mice. Toxicological Sciences. 121(2). 257–266. 36 indexed citations
8.
Kohan, Michael J., et al.. (2011). Preabsorptive Metabolism of Sodium Arsenate by Anaerobic Microbiota of Mouse Cecum Forms a Variety of Methylated and Thiolated Arsenicals. Chemical Research in Toxicology. 24(4). 475–477. 85 indexed citations
9.
Yokohira, Masanao, Lora L. Arnold, Karen L. Pennington, et al.. (2010). Severe systemic toxicity and urinary bladder cytotoxicity and regenerative hyperplasia induced by arsenite in arsenic (+3 oxidation state) methyltransferase knockout mice. A preliminary report. Toxicology and Applied Pharmacology. 246(1-2). 1–7. 43 indexed citations
10.
Hughes, Michael F., et al.. (2010). Arsenic (+3 oxidation state) methyltransferase genotype affects steady-state distribution and clearance of arsenic in arsenate-treated mice. Toxicology and Applied Pharmacology. 249(3). 217–223. 55 indexed citations
11.
Kubachka, Kevin M., et al.. (2009). In vitro biotransformation of dimethylarsinic acid and trimethylarsine oxide by anaerobic microflora of mouse cecum analyzed by HPLC-ICP-MS and HPLC-ESI-MS. Journal of Analytical Atomic Spectrometry. 24(8). 1062–1062. 37 indexed citations
12.
Drobná, Zuzana, Hua Naranmandura, Kevin M. Kubachka, et al.. (2009). Disruption of the Arsenic (+3 Oxidation State) Methyltransferase Gene in the Mouse Alters the Phenotype for Methylation of Arsenic and Affects Distribution and Retention of Orally Administered Arsenate. Chemical Research in Toxicology. 22(10). 1713–1720. 139 indexed citations
13.
Kubachka, Kevin M., et al.. (2008). Exploring the in vitro formation of trimethylarsine sulfide from dimethylthioarsinic acid in anaerobic microflora of mouse cecum using HPLC–ICP-MS and HPLC–ESI-MS. Toxicology and Applied Pharmacology. 239(2). 137–143. 56 indexed citations
15.
Lin, Shan, Qing Shi, Miroslav Stýblo, et al.. (2002). A Novel S-Adenosyl-l-methionine:Arsenic(III) Methyltransferase from Rat Liver Cytosol. Journal of Biological Chemistry. 277(13). 10795–10803. 283 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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