Lina Partis

554 total citations
11 papers, 408 citations indexed

About

Lina Partis is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Lina Partis has authored 11 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Ecology. Recurrent topics in Lina Partis's work include CRISPR and Genetic Engineering (4 papers), Molecular Biology Techniques and Applications (3 papers) and Identification and Quantification in Food (3 papers). Lina Partis is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Molecular Biology Techniques and Applications (3 papers) and Identification and Quantification in Food (3 papers). Lina Partis collaborates with scholars based in Australia, United States and Canada. Lina Partis's co-authors include Robert J. Wells, Kerry R. Emslie, Somanath Bhat, Zhigang Guo, Philippe Corbisier, Anna Baoutina, Ian E. Alexander, K. G. Newton, John Murby and Marie‐José Côté and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Applied and Environmental Microbiology.

In The Last Decade

Lina Partis

11 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lina Partis Australia 7 354 113 98 81 79 11 408
Jürg Rentsch Germany 8 570 1.6× 140 1.2× 182 1.9× 120 1.5× 131 1.7× 9 657
Nicolette Pegels Spain 15 455 1.3× 41 0.4× 150 1.5× 123 1.5× 173 2.2× 23 579
Rupert Hochegger Austria 17 552 1.6× 70 0.6× 239 2.4× 112 1.4× 136 1.7× 49 667
Enrico D’Alessandro Italy 11 191 0.5× 120 1.1× 50 0.5× 58 0.7× 47 0.6× 37 377
Swapan K. Banerjee Canada 11 204 0.6× 58 0.5× 38 0.4× 18 0.2× 112 1.4× 25 396
Yutaka SHINMURA Japan 4 388 1.1× 53 0.5× 143 1.5× 162 2.0× 156 2.0× 8 410
Raffaele Mazza Italy 11 198 0.6× 196 1.7× 26 0.3× 73 0.9× 37 0.5× 17 397
José R. López Spain 13 183 0.5× 82 0.7× 132 1.3× 8 0.1× 21 0.3× 25 382
Samsun Sung South Korea 10 139 0.4× 122 1.1× 62 0.6× 21 0.3× 38 0.5× 23 283
Yunjun Sun China 9 129 0.4× 32 0.3× 59 0.6× 14 0.2× 30 0.4× 22 322

Countries citing papers authored by Lina Partis

Since Specialization
Citations

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

Fields of papers citing papers by Lina Partis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lina Partis. 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 Lina Partis. The network helps show where Lina Partis may publish in the future.

Co-authorship network of co-authors of Lina Partis

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

All Works

11 of 11 papers shown
1.
2.
Baoutina, Anna, Somanath Bhat, Lina Partis, & Kerry R. Emslie. (2019). Storage Stability of Solutions of DNA Standards. Analytical Chemistry. 91(19). 12268–12274. 22 indexed citations
3.
4.
Olson, Nathan D., Steven P. Lund, Justin M. Zook, et al.. (2015). International interlaboratory study comparing single organism 16S rRNA gene sequencing data: Beyond consensus sequence comparisons. SHILAP Revista de lepidopterología. 3. 17–24. 3 indexed citations
5.
Burke, Daniel, Shuang Fu, Somanath Bhat, et al.. (2014). DNA methylation ratio variability may impede clinical application of cancer diagnostic markers. Analytical and Bioanalytical Chemistry. 406(26). 6529–6537. 3 indexed citations
6.
Raymond, Philippe, Louis Gendron, Moustafa Khalf, et al.. (2009). Detection and identification of multiple genetically modified events using DNA insert fingerprinting. Analytical and Bioanalytical Chemistry. 396(6). 2091–2102. 15 indexed citations
7.
Corbisier, Philippe, et al.. (2009). Absolute quantification of genetically modified MON810 maize (Zea mays L.) by digital polymerase chain reaction. Analytical and Bioanalytical Chemistry. 396(6). 2143–2150. 94 indexed citations
8.
Partis, Lina, Malcolm Burns, Koichi Chiba, et al.. (2007). A study of comparability in amplified fragment length polymorphism profiling using a simple model system. Electrophoresis. 28(18). 3193–3200. 4 indexed citations
9.
Partis, Lina, et al.. (2000). Evaluation of a DNA fingerprinting method for determining the species origin of meats. Meat Science. 54(4). 369–376. 155 indexed citations
10.
Partis, Lina & Robert J. Wells. (1996). Identification of fish species using random amplified polymorphic DNA (RAPD). Molecular and Cellular Probes. 10(6). 435–441. 70 indexed citations
11.
Partis, Lina, K. G. Newton, John Murby, & Robert J. Wells. (1994). Inhibitory effects of enrichment media on the Accuprobe test for Listeria monocytogenes. Applied and Environmental Microbiology. 60(5). 1693–1694. 9 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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