Sarah Kaines

946 total citations
8 papers, 637 citations indexed

About

Sarah Kaines is a scholar working on Molecular Biology, Plant Science and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Sarah Kaines has authored 8 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Plant Science and 3 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Sarah Kaines's work include Photosynthetic Processes and Mechanisms (6 papers), Plant responses to elevated CO2 (2 papers) and Algal biology and biofuel production (2 papers). Sarah Kaines is often cited by papers focused on Photosynthetic Processes and Mechanisms (6 papers), Plant responses to elevated CO2 (2 papers) and Algal biology and biofuel production (2 papers). Sarah Kaines collaborates with scholars based in Australia, United States and Germany. Sarah Kaines's co-authors include Murray R. Badger, Berkley J. Walker, Asaph B. Cousins, Richard Jefferson, Leon M. Smith, Heidi J. Mitchell, Wei Yang, Jorge E. Mayer, W. Broothaerts and Susanne von Caemmerer and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Sarah Kaines

8 papers receiving 615 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah Kaines Australia 7 479 342 104 88 87 8 637
Paul F. South United States 11 667 1.4× 531 1.6× 88 0.8× 107 1.2× 29 0.3× 13 970
Chisato Masumoto Japan 11 533 1.1× 697 2.0× 116 1.1× 69 0.8× 27 0.3× 13 873
Alessandro Occhialini United States 10 674 1.4× 285 0.8× 34 0.3× 202 2.3× 79 0.9× 25 824
Florence R. Danila Australia 12 420 0.9× 421 1.2× 82 0.8× 75 0.9× 18 0.2× 20 643
Genhai Zhu United States 14 609 1.3× 363 1.1× 57 0.5× 123 1.4× 34 0.4× 17 757
Chris J. Chastain United States 19 654 1.4× 433 1.3× 27 0.3× 136 1.5× 29 0.3× 32 868
Changpeng Xin China 11 328 0.7× 218 0.6× 45 0.4× 97 1.1× 9 0.1× 11 477
Qinglong Wang China 10 261 0.5× 458 1.3× 37 0.4× 40 0.5× 13 0.1× 17 640
H. Uchimiya Japan 17 602 1.3× 642 1.9× 11 0.1× 65 0.7× 65 0.7× 27 904
Naomi J. Brown United Kingdom 8 539 1.1× 391 1.1× 38 0.4× 126 1.4× 14 0.2× 8 662

Countries citing papers authored by Sarah Kaines

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Kaines

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Kaines

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

All Works

8 of 8 papers shown
1.
Kaines, Sarah, et al.. (2025). In vivo directed evolution of an ultrafast Rubisco from a semianaerobic environment imparts oxygen resistance. Proceedings of the National Academy of Sciences. 122(27). e2505083122–e2505083122. 2 indexed citations
2.
Förster, Britta, Isaiah Catalino M. Pabuayon, Vivien Rolland, et al.. (2023). The Chlamydomonas reinhardtii chloroplast envelope protein LCIA transports bicarbonate in planta. Journal of Experimental Botany. 74(12). 3651–3666. 21 indexed citations
3.
Long, Benedict M., Wei Yih Hee, Robert E. Sharwood, et al.. (2018). Carboxysome encapsulation of the CO2-fixing enzyme Rubisco in tobacco chloroplasts. Nature Communications. 9(1). 3570–3570. 193 indexed citations
4.
Carroll, Adam, Peng Zhang, Lynne Whitehead, et al.. (2015). PhenoMeter: A Metabolome Database Search Tool Using Statistical Similarity Matching of Metabolic Phenotypes for High-Confidence Detection of Functional Links. Frontiers in Bioengineering and Biotechnology. 3. 106–106. 15 indexed citations
5.
Walker, Berkley J., et al.. (2013). Temperature response of in vivoRubisco kinetics and mesophyll conductance in Arabidopsis thaliana: comparisons to Nicotiana tabacum. Plant Cell & Environment. 36(12). 2108–2119. 131 indexed citations
6.
Chow, Wah Soon, Wataru Yamori, John R. Evans, et al.. (2012). Antisense reductions in the PsbO protein of photosystem II leads to decreased quantum yield but similar maximal photosynthetic rates. Journal of Experimental Botany. 63(13). 4781–4795. 38 indexed citations
7.
Badger, Murray R., Hossein Fallahi, Sarah Kaines, & Shunichi Takahashi. (2009). Chlorophyll fluorescence screening of Arabidopsis thaliana for CO2 sensitive photorespiration and photoinhibition mutants. Functional Plant Biology. 36(11). 867–873. 29 indexed citations
8.
Broothaerts, W., Heidi J. Mitchell, Sarah Kaines, et al.. (2005). Gene transfer to plants by diverse species of bacteria. Nature. 433(7026). 629–633. 208 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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