Sue Biggins

8.3k citations
79 papers · 5.9k indexed · h-index 39
  • Cell Biology top 0.1%
    • Microtubule and mitosis dynamics 62
    • Genomics and Chromatin Dynamics 40
    • Photosynthetic Processes and Mechanisms 19
    • Fungal and yeast genetics research 16
    • Ubiquitin and proteasome pathways 12
    • DNA Repair Mechanisms 10
    • Chromosomal and Genetic Variations 20
    • Plant nutrient uptake and metabolism 13
  • Aging top 5%
  • Oncology top 10%

Sue Biggins

78 papers receiving 5.9k citations

Peers

Sue Biggins
Comparison fields: 5 of 94
  • Cell Biology 4.3k
  • Molecular Biology 5.3k
  • Plant Science 2.1k
  • Aging 52
  • Oncology 328
Replace Sue L. Jaspersen with:
Sue L. Jaspersen United States
Étienne Schwob France
Ryoma Ohi United States
Stefan Westermann Austria
Gregory C. Rogers United States
Ulrike Grüneberg United Kingdom
Tetsuya Hori Japan
Jennifer G. DeLuca United States
Mary Munson United States
Christian H. Haering Germany
Sue Biggins relative to Sue L. Jaspersen United States Sue L. Jaspersen's profile →
Citations per field
00.5×3.0×
Sue L. Jaspersen · 1×
Citations per year

Countries citing papers authored by Sue Biggins

Since Specialization
Citations

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

Fields of papers citing papers by Sue Biggins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Sue Biggins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sue Biggins Line = papers co-authored together Sue Biggins links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20244
3 20245
4 20232
5 20231
6 20239
7 20201
8 201914
9 201918
10 2016129
11 2014237
12 2012281
13 2010158
14 2009124
15 2007206
16 200626
17 200562
18 2004166
19 2003129
20 200211

About Sue Biggins

Sue Biggins is a scholar working on Cell Biology, Molecular Biology, Plant Science, Genetics and Biomedical Engineering, having authored 79 papers that have together received 5.9k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (62 papers), Genomics and Chromatin Dynamics (40 papers), Chromosomal and Genetic Variations (20 papers), Photosynthetic Processes and Mechanisms (19 papers), Fungal and yeast genetics research (16 papers), Plant nutrient uptake and metabolism (13 papers), Ubiquitin and proteasome pathways (12 papers) and DNA Repair Mechanisms (10 papers). The work is most often cited by research in Cell Biology (4.3k citations), Molecular Biology (5.3k citations), Plant Science (2.1k citations), Aging (52 citations) and Oncology (328 citations). Sue Biggins has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Andrew W. Murray, Nitobe London, Benjamin A. Pinsky, Jeffrey A. Ranish, Christian R. Nelson, Rohinton T. Kamakaka, Bungo Akiyoshi, Needhi Bhalla, Mark D. Rose and Charles L. Asbury. Their work appears in journals such as Genetics, Current Biology, Genes & Development, The Journal of Cell Biology and eLife.

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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