Sue Biggins

8.4k citations
80 papers · 5.9k · h-index 39

Impact in

  • Cell Biology top 0.1%
    • Microtubule and mitosis dynamics
    • Genomics and Chromatin Dynamics
    • Photosynthetic Processes and Mechanisms
    • Ubiquitin and proteasome pathways
    • DNA Repair Mechanisms
    • Fungal and yeast genetics research

Papers in

    • 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
    • Microtubule and mitosis dynamics 63

Sue Biggins

78 papers receiving 5.9k citations

Peers

Sue Biggins
Comparison fields: 5 of 92
  • Cell Biology 4.3k
  • Molecular Biology 5.2k
  • Plant Science 2.1k
  • Aging 48
  • Oncology 321
Replace M. Andrew Hoyt with:
M. Andrew Hoyt United States
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Sue Biggins relative to M. Andrew Hoyt United States M. Andrew Hoyt's profile →
Citations per field
00.5×6.3×
M. Andrew Hoyt · 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-authors

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

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010354
2 1999344
3 2001333
4 2012283
5 2005274
6 2014238
7 2005229
8 2006225
9 2005216
10 2007209
11 2004167
12 2010159
13 2014148
14 2002147
15 2013141
16 1996141
17 2003129
18 2016129
19 2009124
20 2001122

About Sue Biggins

Sue Biggins is a scholar working on Molecular Biology, Cell Biology, Plant Science, Biomedical Engineering and Genetics, having authored 80 papers that have together received 5.9k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (63 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 (5.2k citations), Plant Science (2.1k citations), Aging (48 citations) and Oncology (321 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, Charles L. Asbury and Mark D. Rose. 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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