Daniel Hesselson
Impact in
- Aging top 5%
- Cell Biology top 2%
- Zebrafish Biomedical Research Applications
Papers in
- Aging 2
- Cell Biology 11
- Zebrafish Biomedical Research Applications 10
- Co-authors
- Didier Y. R. StainierRyan M. AndersonShinichi NakagawaMarine BeinatKazu KikuchiKotaro SugimotoDelicia Z ShengSubhra Prakash Hui
- Journals
- Nature Communications (4 papers)Current Biology (3 papers)Diabetes (2 papers)Cells (2 papers)Ecology and Evolution (2 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Daniel Hesselson
45 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 125
- Aging 52
- Cell Biology 478
- Genetics 368
- Molecular Biology 887
- Surgery 488
Countries citing papers authored by Daniel Hesselson
This map shows the geographic impact of Daniel Hesselson'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 Daniel Hesselson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hesselson more than expected).
Fields of papers citing papers by Daniel Hesselson
This network shows the impact of papers produced by Daniel Hesselson. 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 Daniel Hesselson. The network helps show where Daniel Hesselson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Hesselson, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 5 | |
| 5 | 2021 | 7 | |
| 6 | 2021 | 47 | |
| 7 | 2019 | 37 | |
| 8 | 2018 | 9 | |
| 9 | 2018 | 7 | |
| 10 | 2018 | 7 | |
| 11 | 2017 | 76 | |
| 12 | 2017 | 62 | |
| 13 | 2017 | 29 | |
| 14 | Glucagon is essential for alpha cell transdifferentiation and beta cell neogenesis | 2015 | 5 |
| 15 | 2013 | 21 | |
| 16 | 2013 | 72 | |
| 17 | 2012 | 141 | |
| 18 | 2011 | 47 | |
| 19 | 2009 | 140 | |
| 20 | 2004 | 50 |
About Daniel Hesselson
Daniel Hesselson is a scholar working on Aging, Cell Biology, Business and International Management, Environmental Chemistry and Molecular Biology, having authored 48 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Zebrafish Biomedical Research Applications (10 papers), Congenital heart defects research (7 papers), Diabetes and associated disorders (5 papers), CRISPR and Genetic Engineering (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Per- and polyfluoroalkyl substances research (5 papers) and Animal Behavior and Reproduction (4 papers). The work is most often cited by research in Aging (52 citations), Cell Biology (478 citations), Genetics (368 citations), Molecular Biology (887 citations) and Surgery (488 citations). Daniel Hesselson has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Didier Y. R. Stainier, Ryan M. Anderson, Shinichi Nakagawa, Marine Beinat, Kazu Kikuchi, Kotaro Sugimoto, Delicia Z Sheng, Subhra Prakash Hui, Álvaro González-Rajal and Philipp Gut. Their work appears in journals such as Nature Communications, Current Biology, Diabetes, Cells and Ecology and Evolution.
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.