Michael F. Borgerding

2.3k total citations
47 papers, 1.9k citations indexed

About

Michael F. Borgerding is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Spectroscopy. According to data from OpenAlex, Michael F. Borgerding has authored 47 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Health, Toxicology and Mutagenesis, 17 papers in Cancer Research and 14 papers in Spectroscopy. Recurrent topics in Michael F. Borgerding's work include Carcinogens and Genotoxicity Assessment (17 papers), Analytical Chemistry and Chromatography (13 papers) and Smoking Behavior and Cessation (10 papers). Michael F. Borgerding is often cited by papers focused on Carcinogens and Genotoxicity Assessment (17 papers), Analytical Chemistry and Chromatography (13 papers) and Smoking Behavior and Cessation (10 papers). Michael F. Borgerding collaborates with scholars based in United States, Netherlands and Brazil. Michael F. Borgerding's co-authors include H. Klus, Willie L. Hinze, James E. Swauger, J.A. Bodnar, Frank H. Quina, Betsy Bombick, Kathy Fowler, David J. Doolittle, Gary D. Byrd and Michael J. Morton and has published in prestigious journals such as Analytical Chemistry, Journal of Chromatography A and Food and Chemical Toxicology.

In The Last Decade

Michael F. Borgerding

47 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
Michael F. Borgerding United States 23 620 505 430 413 367 47 1.9k
Roberta Andreoli Italy 32 794 1.3× 517 1.0× 449 1.0× 517 1.3× 534 1.5× 97 3.2k
Kevin McAdam United Kingdom 30 935 1.5× 225 0.4× 936 2.2× 390 0.9× 488 1.3× 75 2.5k
Luigi Perbellini Italy 31 966 1.6× 234 0.5× 249 0.6× 1.0k 2.5× 430 1.2× 146 2.9k
Masana Ogata Japan 25 814 1.3× 229 0.5× 216 0.5× 504 1.2× 206 0.6× 231 2.5k
Mu‐Rong Chao Taiwan 30 896 1.4× 165 0.3× 153 0.4× 412 1.0× 297 0.8× 92 2.5k
Francesco Barbato Italy 30 755 1.2× 868 1.7× 156 0.4× 77 0.2× 272 0.7× 77 2.8k
Thomas A. Perfetti United States 14 600 1.0× 136 0.3× 443 1.0× 395 1.0× 215 0.6× 49 2.0k
Yusuke Iwasaki Japan 28 682 1.1× 283 0.6× 125 0.3× 177 0.4× 127 0.3× 125 2.6k
Bruce A. Tomkins United States 20 560 0.9× 460 0.9× 178 0.4× 112 0.3× 256 0.7× 50 1.5k
Chiung‐Wen Hu Taiwan 27 530 0.9× 137 0.3× 151 0.4× 336 0.8× 139 0.4× 70 1.8k

Countries citing papers authored by Michael F. Borgerding

Since Specialization
Citations

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

Fields of papers citing papers by Michael F. Borgerding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael F. Borgerding. 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 Michael F. Borgerding. The network helps show where Michael F. Borgerding may publish in the future.

Co-authorship network of co-authors of Michael F. Borgerding

This figure shows the co-authorship network connecting the top 25 collaborators of Michael F. Borgerding. A scholar is included among the top collaborators of Michael F. Borgerding 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 Michael F. Borgerding. Michael F. Borgerding 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.
Nordskog, Brian K., et al.. (2015). Study of cardiovascular disease biomarkers among tobacco consumers, part 2: biomarkers of biological effect. Inhalation Toxicology. 27(3). 157–166. 18 indexed citations
2.
Coggins, Christopher R. E., et al.. (2015). Magnitudes of biomarker reductions in response to controlled reductions in cigarettes smoked per day: A one-week clinical confinement study. Regulatory Toxicology and Pharmacology. 71(2). 225–234. 22 indexed citations
3.
4.
Campbell, Leanne R., et al.. (2015). Study of cardiovascular disease biomarkers among tobacco consumers, part 1: biomarkers of exposure. Inhalation Toxicology. 27(3). 149–156. 17 indexed citations
5.
6.
Marano, Kristin M., et al.. (2012). Arsenic exposure and tobacco consumption: Biomarkers and risk assessment. Regulatory Toxicology and Pharmacology. 64(2). 225–232. 37 indexed citations
7.
Arimilli, Subhashini, Brad E. Damratoski, Betsy Bombick, Michael F. Borgerding, & G. L. Prasad. (2012). Evaluation of cytotoxicity of different tobacco product preparations. Regulatory Toxicology and Pharmacology. 64(3). 350–360. 36 indexed citations
8.
Yan, Wei‐Bin, et al.. (2010). Development and Validation of a Direct LC-MS-MS Method to Determine the Acrolein Metabolite 3-HPMA in Urine. Journal of Chromatographic Science. 48(3). 194–199. 17 indexed citations
9.
Borgerding, Michael F., et al.. (2009). Estimating tar and nicotine exposure: Human smoking versus machine generated smoke yields. Regulatory Toxicology and Pharmacology. 56(1). 100–110. 40 indexed citations
10.
Wilson, Cody, et al.. (2008). Assessment of dioxin and dioxin-like compounds in mainstream smoke from selected US cigarette brands and reference cigarettes. Food and Chemical Toxicology. 46(5). 1721–1733. 20 indexed citations
11.
Ayres, Paul H., et al.. (2008). Safety assessment of diammonium phosphate and urea used in the manufacture of cigarettes. Experimental and Toxicologic Pathology. 59(6). 339–353. 14 indexed citations
12.
Ayres, Paul H., et al.. (2007). Toxicological evaluation of cigarettes with two banded cigarette paper technologies. Experimental and Toxicologic Pathology. 59(1). 17–27. 13 indexed citations
13.
Bombick, Betsy, Michael F. Borgerding, Mark Higuchi, et al.. (2003). Toxicological evaluation of dry ice expanded tobacco. Toxicology Letters. 145(2). 107–119. 9 indexed citations
14.
Bombick, Betsy, Mark Higuchi, Michael F. Borgerding, et al.. (2003). Toxicological evaluation of propane expanded tobacco. Food and Chemical Toxicology. 41(12). 1771–1780. 6 indexed citations
15.
Ayres, Paul H., Betsy Bombick, Deborah V. Pence, et al.. (2003). Toxicological Evaluation of Honey as an Ingredient Added to Cigarette Tobacco. Journal of Toxicology and Environmental Health. 66(15-16). 1453–1474. 21 indexed citations
16.
Rogers, James C., et al.. (1994). Inhibitory activity of cigarette-smoke condensate on the mutagenicity of heterocyclic amines. Mutation Research/Genetic Toxicology. 322(1). 21–32. 32 indexed citations
17.
Nanni, Edward J., et al.. (1990). Separation and Quantitation of Monovalent Anionic and Cationic Species in Mainstream Cigarette Smoke Aerosols by High-Performance Ion Chromatography. Journal of Chromatographic Science. 28(8). 432–436. 14 indexed citations
18.
deBethizy, J.D., Michael F. Borgerding, David J. Doolittle, et al.. (1990). Chemical and Biological Studies of a Cigarette That Heats Rather Than Burns Tobacco. The Journal of Clinical Pharmacology. 30(8). 755–763. 39 indexed citations
19.
20.
Byrd, Gary D., et al.. (1990). Isotope dilution gas chromatography—mass spectrometry in the determination of benzene, toluene, styrene and acrylonitrile in mainstream cigarette smoke. Journal of Chromatography A. 503(2). 359–368. 87 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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