Tie‐Lan Young

621 total citations
8 papers, 503 citations indexed

About

Tie‐Lan Young is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Molecular Biology. According to data from OpenAlex, Tie‐Lan Young has authored 8 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Health, Toxicology and Mutagenesis, 6 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in Tie‐Lan Young's work include Carcinogens and Genotoxicity Assessment (6 papers), Toxic Organic Pollutants Impact (3 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). Tie‐Lan Young is often cited by papers focused on Carcinogens and Genotoxicity Assessment (6 papers), Toxic Organic Pollutants Impact (3 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). Tie‐Lan Young collaborates with scholars based in United States, Sweden and Poland. Tie‐Lan Young's co-authors include Regina M. Santella, M Choraźy, Grażyna Motykiewicz, Kari Hemminki, Christopher Dickey, Frederica P. Perera, Deliang Tang, Frederica P. Perera, Wei‐Yann Tsai and William S. Blaner and has published in prestigious journals such as Nature, Environmental Health Perspectives and Risk Analysis.

In The Last Decade

Tie‐Lan Young

8 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tie‐Lan Young United States	8	321	250	189	39	35	8	503
M C Randall United States	5	187 0.6×	184 0.7×	209 1.1×	29 0.7×	30 0.9×	5	454
Christopher Dickey United States	6	268 0.8×	211 0.8×	183 1.0×	50 1.3×	30 0.9×	8	433
Teresa Iwaneñko Poland	13	216 0.7×	121 0.5×	185 1.0×	45 1.2×	22 0.6×	21	472
K. Y. Jan Taiwan	9	170 0.5×	155 0.6×	266 1.4×	37 0.9×	28 0.8×	16	487
Elena Tulupová Czechia	11	237 0.7×	143 0.6×	358 1.9×	111 2.8×	35 1.0×	16	612
A Yardley-Jones United Kingdom	9	224 0.7×	122 0.5×	87 0.5×	21 0.5×	13 0.4×	15	361
Tie Lan Young United States	15	644 2.0×	486 1.9×	332 1.8×	77 2.0×	46 1.3×	23	948
Margaret St. John United States	10	129 0.4×	149 0.6×	188 1.0×	27 0.7×	16 0.5×	14	454
Regina Schlepegrell Germany	9	164 0.5×	221 0.9×	114 0.6×	27 0.7×	42 1.2×	10	422
B. Lambert Sweden	3	293 0.9×	93 0.4×	198 1.0×	23 0.6×	11 0.3×	6	459

Countries citing papers authored by Tie‐Lan Young

Since Specialization

Citations

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

Fields of papers citing papers by Tie‐Lan Young

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tie‐Lan Young. 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 Tie‐Lan Young. The network helps show where Tie‐Lan Young may publish in the future.

Co-authorship network of co-authors of Tie‐Lan Young

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

All Works

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8 of 8 papers shown

Weiserbs, Kera F., Judith S. Jacobson, Melissa D. Begg, et al.. (2003). A cross-sectional study of polycyclic aromatic hydrocarbon-DNA adducts and polymorphism of glutathioneS-transferases among heavy smokers by race/ethnicity. Biomarkers. 8(2). 142–155. 18 indexed citations

Jacobson, Judith S., Melissa D. Begg, Qiao Wang, et al.. (2000). Effects of a 6-month vitamin intervention on DNA damage in heavy smokers.. PubMed. 9(12). 1303–11. 33 indexed citations

Whyatt, Robin M., Regina M. Santella, Wiesław Jędrychowski, et al.. (1998). Relationship between Ambient Air Pollution and DNA Damage in Polish Mothers and Newborns. Environmental Health Perspectives. 106. 821–821. 22 indexed citations

Dickey, Christopher, Regina M. Santella, Dale Hattis, et al.. (1997). Variability in PAH‐DNA Adduct Measurements in Peripheral Mononuclear Cells: Implications for Quantitative Cancer Risk Assessment. Risk Analysis. 17(5). 649–656. 20 indexed citations

Mumford, Judy L., Katherine Williams, Timothy C. Wilcosky, et al.. (1996). A sensitive color ELISA for detecting polycyclic aromatic hydrocarbon-DNA adducts in human tissues. Mutation Research/Environmental Mutagenesis and Related Subjects. 359(3). 171–177. 36 indexed citations

Tang, Deliang, et al.. (1995). A molecular epidemiological case-control study of lung cancer.. PubMed. 4(4). 341–6. 115 indexed citations

Perera, Frederica P., Diane Brenner, Deliang Tang, et al.. (1992). DNA adducts and related biomarkers in populations exposed to environmental carcinogens. Environmental Health Perspectives. 98. 133–137. 36 indexed citations

Perera, Frederica P., Kari Hemminki, Grażyna Motykiewicz, et al.. (1992). Molecular and genetic damage in humans from environmental pollution in Poland. Nature. 360(6401). 256–258. 223 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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