Sara E. Gookin
Impact in
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
- Structural Biology top 10%
Papers in
-
- Neuroscience and Neuropharmacology Research 5
- Photoreceptor and optogenetics research 5
- Neuroscience and Neural Engineering 2
-
- Lipid Membrane Structure and Behavior 2
- Ubiquitin and proteasome pathways 1
- Co-authors
- Sabrina L. Spencer (2 shared papers)Mingwei Min (2 shared papers)Iain D. Miller (2 shared papers)Chengzhe Tian (1 shared paper)Chen Yang (1 shared paper)Katharine R. Smith (7 shared papers)Kevin C. Crosby (5 shared papers)Mark L. Dell’Acqua (4 shared papers)
- Journals
- Cell Reports (4 papers)Life Sciences in Space Research (1 paper)EMBO Reports (1 paper)PLoS Biology (1 paper)Physiological and Biochemical Zoology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Sara E. Gookin
12 papers receiving 699 citations
Sara E. Gookin's Hit Papers
Peers
Comparison fields: 5 of 101
- Biophysics 57
- Structural Biology 14
- Developmental Neuroscience 26
- Cellular and Molecular Neuroscience 107
- Cancer Research 73
Countries citing papers authored by Sara E. Gookin
This map shows the geographic impact of Sara E. Gookin'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 Sara E. Gookin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara E. Gookin more than expected).
Fields of papers citing papers by Sara E. Gookin
This network shows the impact of papers produced by Sara E. Gookin. 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 Sara E. Gookin. The network helps show where Sara E. Gookin may publish in the future.
Co-authors
The 25 scholars most cited alongside Sara E. Gookin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Ki67 is a Graded Rather than a Binary Marker of Proliferation versus Quiescence Hit paper breakdown → | 2018 | 432 |
| 2 | 2019 | 97 | |
| 3 | 2017 | 78 | |
| 4 | 2021 | 29 | |
| 5 | 2017 | 17 | |
| 6 | 2016 | 16 | |
| 7 | 2022 | 9 | |
| 8 | 2016 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2023 | 2 |
About Sara E. Gookin
Sara E. Gookin is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Oncology, Neurology and Physiology, having authored 12 papers that have together received 700 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Photoreceptor and optogenetics research (5 papers), Neuroscience and Neural Engineering (2 papers), Lipid Membrane Structure and Behavior (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Sarcoma Diagnosis and Treatment (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Biophysics (57 citations), Structural Biology (14 citations), Developmental Neuroscience (26 citations), Cellular and Molecular Neuroscience (107 citations) and Cancer Research (73 citations). Sara E. Gookin has collaborated with scholars based in United States and China. Frequent co-authors include Sabrina L. Spencer, Mingwei Min, Iain D. Miller, Chengzhe Tian, Chen Yang, Katharine R. Smith, Kevin C. Crosby, Mark L. Dell’Acqua, Mingyu Chung and Justin Moser. Their work appears in journals such as Cell Reports, Life Sciences in Space Research, EMBO Reports, PLoS Biology and Physiological and Biochemical Zoology.
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.