Linda J. Fuller

1.6k total citations
8 papers, 233 citations indexed

About

Linda J. Fuller is a scholar working on Molecular Biology, Cell Biology and Food Science. According to data from OpenAlex, Linda J. Fuller has authored 8 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Food Science. Recurrent topics in Linda J. Fuller's work include Fungal and yeast genetics research (3 papers), Fermentation and Sensory Analysis (2 papers) and Plant Pathogens and Fungal Diseases (2 papers). Linda J. Fuller is often cited by papers focused on Fungal and yeast genetics research (3 papers), Fermentation and Sensory Analysis (2 papers) and Plant Pathogens and Fungal Diseases (2 papers). Linda J. Fuller collaborates with scholars based in United Kingdom, Spain and Germany. Linda J. Fuller's co-authors include David B. Archer, David J. Jeenes, Ian N. Roberts, Donald MacKenzie, Marie Brown, Marianne Defernez, Royston Goodacre, Warwick B. Dunn, Douglas B. Kell and Edward J. Louis and has published in prestigious journals such as Applied and Environmental Microbiology, Analytical Biochemistry and Yeast.

In The Last Decade

Linda J. Fuller

8 papers receiving 222 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Linda J. Fuller United Kingdom	4	141	84	60	49	24	8	233
Marcus E. Marvin United Kingdom	9	220 1.6×	68 0.8×	15 0.3×	60 1.2×	9 0.4×	10	339
Anna Notaro Italy	9	138 1.0×	98 1.2×	14 0.2×	28 0.6×	16 0.7×	22	309
Aibo Wu China	8	147 1.0×	249 3.0×	55 0.9×	75 1.5×	13 0.5×	10	376
Yasunobu Terabayashi Japan	11	328 2.3×	145 1.7×	78 1.3×	33 0.7×	137 5.7×	14	458
Lionel Belingheri France	12	246 1.7×	190 2.3×	38 0.6×	27 0.6×	15 0.6×	17	366
Tania Jordá Spain	6	231 1.6×	87 1.0×	46 0.8×	54 1.1×	103 4.3×	8	391
Sayuki NIKKUNI Japan	11	172 1.2×	106 1.3×	56 0.9×	157 3.2×	7 0.3×	35	340
Britta Winterberg Australia	7	155 1.1×	322 3.8×	84 1.4×	17 0.3×	65 2.7×	7	427
Dawei Song China	11	194 1.4×	126 1.5×	19 0.3×	107 2.2×	19 0.8×	21	385
E. J. Lodolo South Africa	9	220 1.6×	107 1.3×	21 0.3×	240 4.9×	22 0.9×	19	372

Countries citing papers authored by Linda J. Fuller

Since Specialization

Citations

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

Fields of papers citing papers by Linda J. Fuller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda J. Fuller

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

MacKenzie, Donald, Marianne Defernez, Warwick B. Dunn, et al.. (2008). Relatedness of medically important strains of Saccharomyces cerevisiae as revealed by phylogenetics and metabolomics. Yeast. 25(7). 501–512. 41 indexed citations

2.

Fuller, Linda J., Donald MacKenzie, & Ian N. Roberts. (2008). Species-specific variation in efficacy of yeast genomic DNA isolation techniques assessed using amplified fragment length polymorphism. Analytical Biochemistry. 381(1). 154–156. 2 indexed citations

3.

MacKenzie, Donald, Marianne Defernez, Miguel Aroso, et al.. (2007). Metabolic footprinting as a tool for discriminating between brewing yeasts. Yeast. 24(8). 667–679. 83 indexed citations

4.

Dickinson, Matthew, Paul S. Dyer, David J. Jeenes, et al.. (2003). Genetic differentiation of the Aspergillus section Flavi complex using AFLP fingerprints. Mycological Research. 107(12). 1427–1434. 48 indexed citations

5.

Fuller, Linda J., et al.. (1999). Homologs of Aflatoxin Biosynthesis Genes and Sequence of aflR in Aspergillus oryzae and Aspergillus sojae. Applied and Environmental Microbiology. 65(1). 307–310. 55 indexed citations

6.

Pearson, Bruce M., Linda J. Fuller, & R. A. McKee. (1990). Biosynthesis of biotin vitamers by Yarrowia lipolytica. Letters in Applied Microbiology. 10(2). 89–91. 1 indexed citations

7.

MacKenzie, Donald, Bruce M. Pearson, Linda J. Fuller, & M. H. J. Keenan. (1987). Stability of chimaeric vectors based on plasmids from the yeast Zygosaccharomyces bailii. 36(142). 55–63. 2 indexed citations

8.

Pearson, Bruce M., Linda J. Fuller, Donald MacKenzie, & M. H. J. Keenan. (1986). A red/white selection for Saccharomyces cerevisiae auxotrophs. Letters in Applied Microbiology. 3(5). 89–91. 1 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.

Explore authors with similar magnitude of impact