C. Lynne McIntyre

9.8k total citations
127 papers, 6.5k citations indexed

About

C. Lynne McIntyre is a scholar working on Plant Science, Genetics and Biomedical Engineering. According to data from OpenAlex, C. Lynne McIntyre has authored 127 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Plant Science, 26 papers in Genetics and 24 papers in Biomedical Engineering. Recurrent topics in C. Lynne McIntyre's work include Sugarcane Cultivation and Processing (35 papers), Wheat and Barley Genetics and Pathology (33 papers) and Plant Disease Resistance and Genetics (25 papers). C. Lynne McIntyre is often cited by papers focused on Sugarcane Cultivation and Processing (35 papers), Wheat and Barley Genetics and Pathology (33 papers) and Plant Disease Resistance and Genetics (25 papers). C. Lynne McIntyre collaborates with scholars based in Australia, China and United States. C. Lynne McIntyre's co-authors include Gang‐Ping Xue, Janneke Drenth, Scott Chapman, Karen S. Aitken, David Jordan, Ray Shorter, P. A. Jackson, Rosanne E. Casu, John M. Manners and Matthew Reynolds and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

C. Lynne McIntyre

126 papers receiving 6.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Lynne McIntyre Australia 45 5.9k 1.5k 1.5k 1.1k 852 127 6.5k
Alexander E. Lipka United States 34 4.3k 0.7× 1.3k 0.9× 2.4k 1.6× 503 0.5× 156 0.2× 102 5.7k
Karen E. Koch United States 42 6.6k 1.1× 2.4k 1.6× 319 0.2× 372 0.3× 364 0.4× 94 7.4k
Thomas Lübberstedt United States 47 6.2k 1.1× 2.0k 1.3× 3.0k 2.0× 924 0.8× 296 0.3× 258 7.3k
Stephen P. Moose United States 29 2.9k 0.5× 1.4k 1.0× 578 0.4× 755 0.7× 541 0.6× 56 3.6k
Zhanguo Xin United States 38 3.5k 0.6× 1.8k 1.2× 694 0.5× 806 0.7× 377 0.4× 115 4.6k
Yunbi Xu China 48 7.3k 1.3× 1.4k 1.0× 4.5k 3.1× 572 0.5× 131 0.2× 110 8.3k
Patrick J. Brown United States 35 5.8k 1.0× 1.4k 0.9× 3.7k 2.5× 1.2k 1.1× 248 0.3× 91 7.3k
Allen Van Deynze United States 36 3.4k 0.6× 1.6k 1.1× 843 0.6× 222 0.2× 189 0.2× 84 4.3k
Rod J. Snowdon Germany 50 5.6k 1.0× 3.6k 2.4× 2.0k 1.4× 525 0.5× 137 0.2× 205 7.0k
Christian Jung Germany 42 4.4k 0.7× 2.5k 1.7× 944 0.6× 247 0.2× 153 0.2× 144 5.4k

Countries citing papers authored by C. Lynne McIntyre

Since Specialization
Citations

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

Fields of papers citing papers by C. Lynne McIntyre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Lynne McIntyre. 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 C. Lynne McIntyre. The network helps show where C. Lynne McIntyre may publish in the future.

Co-authorship network of co-authors of C. Lynne McIntyre

This figure shows the co-authorship network connecting the top 25 collaborators of C. Lynne McIntyre. A scholar is included among the top collaborators of C. Lynne McIntyre 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 C. Lynne McIntyre. C. Lynne McIntyre 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.
Dreccer, M. Fernanda, et al.. (2022). Multi-donor × elite-based populations reveal QTL for low-lodging wheat. Theoretical and Applied Genetics. 135(5). 1685–1703. 4 indexed citations
2.
Fakheri, Barat Ali, et al.. (2019). Genetic control of some plant growth characteristics of bread wheat (Triticum aestivum L.) under aluminum stress. Genes & Genomics. 42(3). 245–261. 10 indexed citations
3.
Kalaipandian, Sundaravelpandian, Gang‐Ping Xue, Anne L. Rae, et al.. (2018). Overexpression of TaCML20, a calmodulin‐like gene, enhances water soluble carbohydrate accumulation and yield in wheat. Physiologia Plantarum. 165(4). 790–799. 27 indexed citations
4.
Wei, Yuming, et al.. (2013). Major QTL for Fusarium crown rot resistance in a barley landrace. Theoretical and Applied Genetics. 126(10). 2511–2520. 26 indexed citations
5.
McIntyre, C. Lynne, David Seung, Rosanne E. Casu, et al.. (2012). Genotypic variation in the accumulation of water soluble carbohydrates in wheat. Functional Plant Biology. 39(7). 560–568. 25 indexed citations
6.
Qing, Cai, Karen S. Aitken, Yuanhong Fan, et al.. (2011). Assessment of the genetic diversity in a collection of Erianthus arundinaceus. Genetic Resources and Crop Evolution. 59(7). 1483–1491. 16 indexed citations
7.
McIntyre, C. Lynne, Rosanne E. Casu, Allan Rattey, et al.. (2011). Linked gene networks involved in nitrogen and carbon metabolism and levels of water-soluble carbohydrate accumulation in wheat stems. Functional & Integrative Genomics. 11(4). 585–597. 19 indexed citations
8.
Xue, Gang‐Ping, C. Lynne McIntyre, Scott Chapman, et al.. (2006). Differential gene expression of wheat progeny with contrasting levels of transpiration efficiency. Plant Molecular Biology. 61(6). 863–881. 35 indexed citations
9.
Cai, Qinghua, et al.. (2005). Assessment of the phylogenetic relationships within the “{\sl Saccharum} complex” using AFLP markers. Zuo wu xue bao. 31(5). 551–559. 6 indexed citations
10.
Way, Heather M., Scott Chapman, C. Lynne McIntyre, et al.. (2004). Identification of differentially expressed genes in wheat undergoing gradual water deficit stress using a subtractive hybridisation approach. Plant Science. 168(3). 661–670. 14 indexed citations
11.
Casu, Rosanne E., Christine M. Dimmock, Scott Chapman, et al.. (2004). Identification of Differentially Expressed Transcripts from Maturing Stem of Sugarcane by in silico Analysis of Stem Expressed Sequence Tags and Gene Expression Profiling. Plant Molecular Biology. 54(4). 503–517. 93 indexed citations
12.
13.
Tao, Y. Z., Janneke Drenth, R. G. Henzell, et al.. (2003). Identifications of two different mechanisms for sorghum midge resistance through QTL mapping. Theoretical and Applied Genetics. 107(1). 116–122. 50 indexed citations
14.
Aitken, Karen S., Christopher P. L. Grof, P. Jackson, et al.. (2001). Introgression of S. officinarum - a biochemical and molecular marker approach to improve CCS.. 567–572. 1 indexed citations
15.
Casu, Rosanne E., Christine M. Dimmock, Neil I. Bower, et al.. (2001). Genetic and expression profiling in sugarcane. Queensland's institutional digital repository (The University of Queensland). 542–546. 19 indexed citations
16.
McIntyre, C. Lynne, Karen S. Aitken, N. Berding, et al.. (2001). Identification of DNA markers linked to agronomic traits in sugarcane in Australia.. 560–562. 7 indexed citations
17.
18.
McIntyre, C. Lynne, et al.. (1998). Construction of a genetic map in a sorghum recombinant inbred line using probes from different sources and its comparison with other sorghum maps (vol 49, pg 729, 1998). Crop and Pasture Science. 49(5). 6 indexed citations
19.
McIntyre, C. Lynne, et al.. (1997). Application of molecular markers to sorghum breeding in Australia.. 11–15. 5 indexed citations
20.
Besse, Pascale, C. Lynne McIntyre, & N. Berding. (1997). Characterisation of Erianthus sect. Ripidium and Saccharum germplasm (Andropogoneae - Saccharinae) using RFLP markers. Euphytica. 93(3). 283–292. 45 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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