G. M. White

1.5k total citations
9 papers, 1.3k citations indexed

About

G. M. White is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, G. M. White has authored 9 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Plant Science. Recurrent topics in G. M. White's work include Genetic diversity and population structure (5 papers), Genetic and phenotypic traits in livestock (3 papers) and Phytochemical compounds biological activities (2 papers). G. M. White is often cited by papers focused on Genetic diversity and population structure (5 papers), Genetic and phenotypic traits in livestock (3 papers) and Phytochemical compounds biological activities (2 papers). G. M. White collaborates with scholars based in United Kingdom, United States and Australia. G. M. White's co-authors include W. Powell, David Boshier, Andrew G. Young, Geoffrey M. Clarke, Stephen Kresovich, Robert J. Whelan, William B. Sherwin, Susan Daniels, Peter H. Thrall and Kent E. Holsinger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genetics and Molecular Ecology.

In The Last Decade

G. M. White

9 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. M. White United Kingdom 9 722 538 487 376 280 9 1.3k
Cécile Fanny Emilie Bacles United Kingdom 13 763 1.1× 631 1.2× 357 0.7× 547 1.5× 321 1.1× 17 1.3k
Henri Caron France 21 912 1.3× 704 1.3× 362 0.7× 492 1.3× 302 1.1× 42 1.4k
Sariel Hübner Israel 15 740 1.0× 329 0.6× 555 1.1× 222 0.6× 342 1.2× 31 1.4k
Carlos Navarro Costa Rica 19 810 1.1× 668 1.2× 460 0.9× 437 1.2× 258 0.9× 37 1.7k
Maria J. Clauss Germany 20 440 0.6× 708 1.3× 852 1.7× 653 1.7× 364 1.3× 21 1.8k
Berthold Heinze Austria 22 814 1.1× 377 0.7× 587 1.2× 266 0.7× 185 0.7× 52 1.5k
Céline Caseys United States 11 622 0.9× 354 0.7× 342 0.7× 230 0.6× 291 1.0× 18 1.2k
Caroline Scotti‐Saintagne France 19 724 1.0× 360 0.7× 462 0.9× 268 0.7× 246 0.9× 40 1.3k
Stéphanie Mariette France 18 642 0.9× 386 0.7× 644 1.3× 220 0.6× 199 0.7× 29 1.3k
Diane L. Byers United States 17 658 0.9× 1.2k 2.2× 798 1.6× 706 1.9× 243 0.9× 27 1.7k

Countries citing papers authored by G. M. White

Since Specialization
Citations

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

Fields of papers citing papers by G. M. White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. M. White

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

All Works

9 of 9 papers shown
1.
White, G. M., S. R. Moss, & A. Karp. (2005). Differences in the molecular basis of resistance to the cyclohexanedione herbicide sethoxydim in Lolium multiflorum. Weed Research. 45(6). 440–448. 33 indexed citations
2.
White, G. M.. (2004). Molecular Evolution of the Phytochrome Gene Family in Sorghum: Changing Rates of Synonymous and Replacement Evolution. Molecular Biology and Evolution. 21(4). 716–723. 23 indexed citations
3.
Hamblin, Martha T., Sharon E. Mitchell, G. M. White, et al.. (2004). Comparative Population Genetics of the Panicoid Grasses: Sequence Polymorphism, Linkage Disequilibrium and Selection in a Diverse Sample of Sorghum bicolor. Genetics. 167(1). 471–483. 99 indexed citations
4.
White, G. M., et al.. (2002). Characterization of RFLP probe sequences for gene discovery and SSR development in Sorghum bicolor (L.) Moench. Theoretical and Applied Genetics. 105(6). 912–920. 95 indexed citations
5.
White, G. M., David Boshier, & W. Powell. (2002). Increased pollen flow counteracts fragmentation in a tropical dry forest: An example from Swietenia humilis Zuccarini. Proceedings of the National Academy of Sciences. 99(4). 2038–2042. 299 indexed citations
6.
Young, Andrew G., Andrew G. Young, Peter F. Brussard, et al.. (2000). Genetics, Demography and Viability of Fragmented Populations. Cambridge University Press eBooks. 491 indexed citations
7.
White, G. M., David Boshier, & W. Powell. (1999). Genetic variation within a fragmented population ofSwietenia humilisZucc.. Molecular Ecology. 8(11). 1899–1909. 108 indexed citations
8.
White, G. M. & W. Powell. (1997). Isolation and characterization of microsatellite loci in Swietenia humilis (Meliaceae): an endangered tropical hardwood species. Molecular Ecology. 6(9). 851–860. 87 indexed citations
9.
White, G. M. & W. Powell. (1997). Isolation and characterization of microsatellite loci in Swietenia humilis (Meliaceae): an endangered tropical hardwood species. Molecular Ecology. 6(9). 851–860. 40 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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