Sarah Bowling
Impact in
- Aging top 10%
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ
- Zebrafish Biomedical Research Applications
Papers in
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- Hippo pathway signaling and YAP/TAZ 2
-
- CRISPR and Genetic Engineering 7
- Single-cell and spatial transcriptomics 5
- Pluripotent Stem Cells Research 4
- Renal and related cancers 3
- Co-authors
- Tristan Argeo Rodriguez (7 shared papers)Aida Di Gregorio (5 shared papers)Fernando D. Camargo (6 shared papers)Sachin H Patel (3 shared papers)Fernando G. Osorio (3 shared papers)Christopher A. Makaroff (1 shared paper)Yuko Fujiwara (2 shared papers)Sahand Hormoz (2 shared papers)
- Journals
- Cell (3 papers)Development (2 papers)Developmental Cell (2 papers)Stem Cell Reports (1 paper)Nature Metabolism (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Sarah Bowling
16 papers receiving 968 citations
Peers
Comparison fields: 5 of 82
- Aging 33
- Cell Biology 252
- Cancer Research 143
- Molecular Biology 669
- Hematology 84
Countries citing papers authored by Sarah Bowling
This map shows the geographic impact of Sarah Bowling'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 Bowling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Bowling more than expected).
Fields of papers citing papers by Sarah Bowling
This network shows the impact of papers produced by Sarah Bowling. 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 Bowling. The network helps show where Sarah Bowling may publish in the future.
Co-authors
The 25 scholars most cited alongside Sarah Bowling, 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 | 2020 | 227 | |
| 2 | 2016 | 136 | |
| 3 | 2019 | 115 | |
| 4 | 2022 | 94 | |
| 5 | 2023 | 91 | |
| 6 | 2018 | 88 | |
| 7 | 1997 | 75 | |
| 8 | 2020 | 45 | |
| 9 | 2021 | 44 | |
| 10 | 2022 | 23 | |
| 11 | 2023 | 12 | |
| 12 | 2019 | 11 | |
| 13 | 2000 | 10 | |
| 14 | 2025 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 1 | |
| 17 | ARTIMIS TELEPHONE TRAVEL INFORMATION SERVICE CURRENT USE PATTERNS AND USER SATISFACTION : EVALUATION OF ARTIMIS TELEPHONE INFORMATION SYSTEM | 1999 | 0 |
About Sarah Bowling
Sarah Bowling is a scholar working on Cell Biology, Molecular Biology, Transportation, Building and Construction and Aging, having authored 17 papers that have together received 977 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), Single-cell and spatial transcriptomics (5 papers), Pluripotent Stem Cells Research (4 papers), Renal and related cancers (3 papers), Traffic Prediction and Management Techniques (2 papers), Transportation Planning and Optimization (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Birth, Development, and Health (1 paper). The work is most often cited by research in Aging (33 citations), Cell Biology (252 citations), Cancer Research (143 citations), Molecular Biology (669 citations) and Hematology (84 citations). Sarah Bowling has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Tristan Argeo Rodriguez, Aida Di Gregorio, Fernando D. Camargo, Sachin H Patel, Fernando G. Osorio, Christopher A. Makaroff, Yuko Fujiwara, Sahand Hormoz, Alejo Rodriguez-Fraticelli and Maximilian Nguyen. Their work appears in journals such as Cell, Development, Developmental Cell, Stem Cell Reports and Nature Metabolism.
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.