Sarah Webb

4.3k citations
128 papers · 3.6k · h-index 32

Impact in

  • Physiology top 1%
    • Zebrafish Biomedical Research Applications
    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics

Papers in

Sarah Webb

125 papers receiving 3.5k citations

Peers

Sarah Webb
Comparison fields: 5 of 160
  • Physiology 229
  • Cell Biology 804
  • Cellular and Molecular Neuroscience 569
  • Developmental Neuroscience 117
  • Sensory Systems 134
Replace Miguel L. Allende with:
Miguel L. Allende Chile
Ikuo Miura Japan
David M. Gardiner United States
Enrique Amaya United Kingdom
Ingo Braasch United States
Camille Berthelot France
Kenro Kusumi United States
Yi‐Lin Yan United States
Joel W. Martin United States
Robert M. Grainger United States
Sarah Webb relative to Miguel L. Allende Chile Miguel L. Allende's profile →
Citations per field
00.5×2×2.6×
Miguel L. Allende · 1×
Citations per year

Countries citing papers authored by Sarah Webb

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Webb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sarah Webb, 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 Sarah Webb Line = papers co-authored together Sarah Webb links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006403
2 2003189
3 1996161
4 1997149
5 1999116
6 1984112
7 2000104
8 2004101
9 199798
10 199992
11 201490
12 200078
13 199762
14 200660
15 201658
16 199858
17 200654
18 201854
19 200351
20 201846

About Sarah Webb

Sarah Webb is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Molecular Biology, Physiology and Sensory Systems, having authored 128 papers that have together received 3.6k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (23 papers), Developmental Biology and Gene Regulation (18 papers), Pluripotent Stem Cells Research (16 papers), Congenital heart defects research (12 papers), CRISPR and Genetic Engineering (9 papers), Calcium signaling and nucleotide metabolism (7 papers), Neurobiology and Insect Physiology Research (7 papers) and Physiological and biochemical adaptations (6 papers). The work is most often cited by research in Physiology (229 citations), Cell Biology (804 citations), Cellular and Molecular Neuroscience (569 citations), Developmental Neuroscience (117 citations) and Sensory Systems (134 citations). Sarah Webb has collaborated with scholars based in Hong Kong, United States and France. Frequent co-authors include Andrew L. Miller, Karen W. Lee, Catherine Leclerc, Marc J. Moreau, KK Lee, Eric Karplus, Jeffrey W. Pollard, Gareth Elwyn Jones, Ruth Magrath and R. M. Warn. Their work appears in journals such as Developmental Biology, The International Journal of Developmental Biology, Nature Biotechnology, Development Growth & Differentiation and Cell Calcium.

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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