Lisa M. Prince

19 total papers · 477 total citations
16 papers, 356 citations indexed

About

Lisa M. Prince is a scholar working on Health, Toxicology and Mutagenesis, Nutrition and Dietetics and Molecular Biology. According to data from OpenAlex, Lisa M. Prince has authored 16 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Health, Toxicology and Mutagenesis, 6 papers in Nutrition and Dietetics and 4 papers in Molecular Biology. Recurrent topics in Lisa M. Prince's work include Mercury impact and mitigation studies (8 papers), Heavy Metal Exposure and Toxicity (4 papers) and Biochemical Analysis and Sensing Techniques (2 papers). Lisa M. Prince is often cited by papers focused on Mercury impact and mitigation studies (8 papers), Heavy Metal Exposure and Toxicity (4 papers) and Biochemical Analysis and Sensing Techniques (2 papers). Lisa M. Prince collaborates with scholars based in United States, Russia and Mexico. Lisa M. Prince's co-authors include Matthew D. Rand, Daria Vorojeikina, Günter Oberdörster, Douglas Weston, Carl J. Johnston, Xiufang Liu, Jacob N. Finkelstein, Deborah A. Cory‐Slechta, Joshua L. Allen and Sara Montgomery and has published in prestigious journals such as Food and Chemical Toxicology, Biochimica et Biophysica Acta (BBA) - General Subjects and Toxicological Sciences.

In The Last Decade

Lisa M. Prince

16 papers receiving 355 citations

Author Peers

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

Author Last Decade Papers Cites
Lisa M. Prince 243 71 61 48 44 16 356
Nikoo Safi 144 0.6× 128 1.8× 45 0.7× 27 0.6× 14 0.3× 13 348
Angela Hobson 202 0.8× 19 0.3× 16 0.3× 27 0.6× 100 2.3× 12 339
Penny Theodorou 227 0.9× 20 0.3× 71 1.2× 13 0.3× 91 2.1× 13 346
Caroll A. Co 137 0.6× 31 0.4× 20 0.3× 11 0.2× 9 0.2× 13 355
Anne-Cécile Guyot 100 0.4× 128 1.8× 20 0.3× 26 0.5× 14 0.3× 14 393
Xinqin Liu 109 0.4× 91 1.3× 12 0.2× 16 0.3× 57 1.3× 15 346
Elena Marvin 247 1.0× 23 0.3× 67 1.1× 69 1.4× 14 0.3× 19 327
Xinxin Zeng 56 0.2× 82 1.2× 99 1.6× 15 0.3× 13 0.3× 23 363
Nicola Machella 232 1.0× 74 1.0× 95 1.6× 3 0.1× 18 0.4× 10 383
Laura Colín-Barenque 139 0.6× 102 1.4× 21 0.3× 14 0.3× 45 1.0× 14 317

Countries citing papers authored by Lisa M. Prince

Since Specialization
Citations

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

Fields of papers citing papers by Lisa M. Prince

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa M. Prince. 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 Lisa M. Prince. The network helps show where Lisa M. Prince may publish in the future.

Co-authorship network of co-authors of Lisa M. Prince

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa M. Prince. A scholar is included among the top collaborators of Lisa M. Prince 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 Lisa M. Prince. Lisa M. Prince 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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