Daniel Hesselson
Impact in
- Aging top 5%
- Cell Biology top 2%
- Zebrafish Biomedical Research Applications
Papers in
-
- Congenital heart defects research 7
- CRISPR and Genetic Engineering 5
- Metabolism, Diabetes, and Cancer 5
- Surgery 12
- Pancreatic function and diabetes 12
- Co-authors
- Didier Y. R. Stainier (11 shared papers)Ryan M. Anderson (6 shared papers)Shinichi Nakagawa (13 shared papers)Marine Beinat (1 shared paper)Kazu Kikuchi (4 shared papers)Subhra Prakash Hui (2 shared papers)Delicia Z Sheng (2 shared papers)Kotaro Sugimoto (2 shared papers)
- 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-authors
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
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 208 | |
| 2 | 2012 | 141 | |
| 3 | 2009 | 140 | |
| 4 | 2009 | 122 | |
| 5 | 2015 | 104 | |
| 6 | 2016 | 101 | |
| 7 | 2017 | 76 | |
| 8 | 2013 | 72 | |
| 9 | 2017 | 62 | |
| 10 | 2012 | 55 | |
| 11 | 2015 | 52 | |
| 12 | 2004 | 50 | |
| 13 | 2017 | 50 | |
| 14 | 2021 | 47 | |
| 15 | 2011 | 47 | |
| 16 | 2019 | 46 | |
| 17 | 2018 | 38 | |
| 18 | 2019 | 37 | |
| 19 | 2017 | 29 | |
| 20 | 2016 | 23 |
About Daniel Hesselson
Daniel Hesselson is a scholar working on Molecular Biology, Surgery, Cell Biology, Genetics and Environmental Chemistry, 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), Per- and polyfluoroalkyl substances research (5 papers), CRISPR and Genetic Engineering (5 papers), Diabetes and associated disorders (5 papers), Metabolism, Diabetes, and Cancer (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, Subhra Prakash Hui, Delicia Z Sheng, Kotaro Sugimoto, 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.