Tie‐Lan Young

8 total papers · 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, Christopher Dickey, Kari Hemminki, M Choraźy, Grażyna Motykiewicz, Frederica P. Perera, Frederica P. Perera, Deliang Tang, Immaculata De Vivo and Jadwiga Michalska 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tie‐Lan Young 321 251 189 39 36 8 503
M C Randall 187 0.6× 183 0.7× 209 1.1× 29 0.7× 30 0.8× 5 453
Håkan Wallin 289 0.9× 192 0.8× 164 0.9× 32 0.8× 44 1.2× 7 589
U. Plappert 305 1.0× 164 0.7× 164 0.9× 40 1.0× 14 0.4× 16 591
Darren L. Warren 121 0.4× 238 0.9× 120 0.6× 41 1.1× 21 0.6× 17 593
Oliver Merk 296 0.9× 211 0.8× 198 1.0× 45 1.2× 23 0.6× 8 504
Teresa Iwaneñko 216 0.7× 122 0.5× 185 1.0× 45 1.2× 22 0.6× 21 473
K. Y. Jan 170 0.5× 155 0.6× 266 1.4× 37 0.9× 28 0.8× 15 487
Elena Tulupová 237 0.7× 143 0.6× 357 1.9× 110 2.8× 35 1.0× 16 610
Frank Inyang 204 0.6× 407 1.6× 108 0.6× 20 0.5× 38 1.1× 11 571
Alfred M. Nyanda 119 0.4× 238 0.9× 173 0.9× 39 1.0× 31 0.9× 11 537

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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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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