Christopher J. Quinn

6.3k total citations
99 papers, 3.0k citations indexed

About

Christopher J. Quinn is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Plant Science. According to data from OpenAlex, Christopher J. Quinn has authored 99 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 50 papers in Ecology, Evolution, Behavior and Systematics and 22 papers in Plant Science. Recurrent topics in Christopher J. Quinn's work include Plant Diversity and Evolution (43 papers), Plant and Fungal Species Descriptions (37 papers) and Plant and animal studies (14 papers). Christopher J. Quinn is often cited by papers focused on Plant Diversity and Evolution (43 papers), Plant and Fungal Species Descriptions (37 papers) and Plant and animal studies (14 papers). Christopher J. Quinn collaborates with scholars based in Australia, United States and United Kingdom. Christopher J. Quinn's co-authors include Paul A. Gadek, Margaret M. Heslewood, Peter G. Wilson, Darren M. Crayn, Edwino S. Fernando, Deryn Alpers, Negar Kiyavash, Todd P. Coleman, Kathleen A. Kron and Nicholas G. Hatsopoulos and has published in prestigious journals such as Journal of Applied Physics, Proceedings of the IEEE and Current Biology.

In The Last Decade

Christopher J. Quinn

95 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher J. Quinn Australia 30 1.9k 1.5k 1.2k 239 191 99 3.0k
Fang Du China 28 362 0.2× 1.1k 0.7× 542 0.5× 219 0.9× 85 0.4× 98 2.2k
Jan T. Kim United Kingdom 15 774 0.4× 1.9k 1.3× 1.8k 1.6× 40 0.2× 39 0.2× 22 2.6k
John S. Conery United States 15 520 0.3× 1.6k 1.1× 898 0.8× 241 1.0× 26 0.1× 40 3.5k
M.S. Davies United Kingdom 26 423 0.2× 461 0.3× 1.2k 1.1× 245 1.0× 55 0.3× 114 2.6k
Christophe Godin France 43 326 0.2× 1.9k 1.3× 3.9k 3.4× 378 1.6× 62 0.3× 107 5.1k
Robert Kennedy United States 30 255 0.1× 739 0.5× 1.6k 1.4× 53 0.2× 110 0.6× 103 3.0k
Simon Joseph Mayo United Kingdom 22 1.1k 0.6× 687 0.5× 907 0.8× 169 0.7× 127 0.7× 108 2.1k
José Carbonell‐Caballero Spain 24 189 0.1× 1.7k 1.1× 835 0.7× 26 0.1× 115 0.6× 41 3.4k
David R. Rank United States 21 168 0.1× 2.0k 1.4× 1.3k 1.1× 47 0.2× 127 0.7× 34 3.1k

Countries citing papers authored by Christopher J. Quinn

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. Quinn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Quinn. 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 Christopher J. Quinn. The network helps show where Christopher J. Quinn may publish in the future.

Co-authorship network of co-authors of Christopher J. Quinn

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

All Works

20 of 20 papers shown
1.
Quinn, Christopher J., et al.. (2024). Redundancy and Concept Analysis for Code-trained Language Models. 24–34. 1 indexed citations
2.
Zimmerman, Michael A., et al.. (2024). Origin of visual experience-dependent theta oscillations. Current Biology. 35(1). 87–99.e6.
3.
Suarez‐Pierre, Alejandro, Michael J. Kirsch, Christopher J. Quinn, et al.. (2023). Importance of social vulnerability on long-term outcomes after heart transplantation. American Journal of Transplantation. 23(10). 1580–1589. 7 indexed citations
4.
Leonard, Laura D., Christopher J. Quinn, Laurel Beaty, et al.. (2023). De-implementation of Axillary Dissection in Women Undergoing Mastectomy for Breast Cancer. Annals of Surgical Oncology. 30(9). 5692–5702. 1 indexed citations
5.
Tang, Yu, et al.. (2023). Visual experience induces 4–8 Hz synchrony between V1 and higher-order visual areas. Cell Reports. 42(12). 113482–113482. 1 indexed citations
6.
Aggarwal, Vaneet, et al.. (2023). Fractional Budget Allocation for Influence Maximization. 12. 4327–4332.
7.
Leonard, Laura D., Christopher J. Quinn, Victoria Huynh, et al.. (2022). Patient comprehension of breast pathology report terminology: The need for patient-centered resources. Surgery. 172(3). 831–837. 12 indexed citations
8.
Wu, Qiuyu, et al.. (2020). Visual Experience-Dependent Oscillations and Underlying Circuit Connectivity Changes Are Impaired in Fmr1 KO Mice. Cell Reports. 31(1). 107486–107486. 20 indexed citations
9.
Quinn, Christopher J., et al.. (2020). Synergy and Redundancy Duality Between Gaussian Multiple Access and Broadcast Channels. International Symposium on Information Theory and its Applications. 6–10. 1 indexed citations
10.
Quinn, Christopher J., et al.. (2019). Localizing the Information Source in a Network. Knowledge Discovery and Data Mining. 1 indexed citations
11.
Quinn, Christopher J., et al.. (2019). A Measure of Synergy, Redundancy, and Unique Information using Information Geometry. 3127–3131. 6 indexed citations
12.
13.
Quinn, Christopher J., et al.. (2011). Accumulation of cadmium in near-isogenic lines of durum wheat (Triticum turgidum L. var durum): the role of transpiration. Physiology and Molecular Biology of Plants. 17(4). 317–325. 15 indexed citations
14.
Quinn, Christopher J., Todd P. Coleman, Negar Kiyavash, & Nicholas G. Hatsopoulos. (2010). Estimating the directed information to infer causal relationships in ensemble neural spike train recordings. Journal of Computational Neuroscience. 30(1). 17–44. 169 indexed citations
15.
Gadek, Paul A., Deryn Alpers, Margaret M. Heslewood, & Christopher J. Quinn. (2000). Relationships within Cupressaceae sensu lato: a combined morphological and molecular approach. American Journal of Botany. 87(7). 1044–1057. 267 indexed citations
16.
Crayn, Darren M. & Christopher J. Quinn. (2000). The Evolution of the atpβ-rbcL Intergenic Spacer in the Epacrids (Ericales) and Its Systematic and Evolutionary Implications. Molecular Phylogenetics and Evolution. 16(2). 238–252. 43 indexed citations
17.
Fernando, Edwino S., Paul A. Gadek, Darren M. Crayn, & Christopher J. Quinn. (1993). Rosid Affinities of Surianaceae: Molecular Evidence. Molecular Phylogenetics and Evolution. 2(4). 344–350. 23 indexed citations
18.
Gadek, Paul A. & Christopher J. Quinn. (1989). Biflavones of taxodiaceae. Biochemical Systematics and Ecology. 17(5). 365–372. 5 indexed citations
19.
Quinn, Christopher J.. (1986). Embryogeny in Phyllocladus. New Zealand Journal of Botany. 24(4). 575–579. 11 indexed citations
20.
Quinn, Christopher J. & J. A. Rattenbury. (1972). Structural hybridity in New Zealand dacrydium. New Zealand Journal of Botany. 10(3). 427–436. 13 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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