David C. Hornigold
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- Diabetes Treatment and Management 12
- Endocrine and Autonomic Systems top 10%
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- Diet and metabolism studies 4
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- Pancreatic function and diabetes 10
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- Receptor Mechanisms and Signaling 9
- Metabolism, Diabetes, and Cancer 8
- Protein Kinase Regulation and GTPase Signaling 3
- Glycosylation and Glycoproteins Research 2
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- Neuropeptides and Animal Physiology 4
- Co-authors
- John UnittJacqueline NaylorPeter RavnFiona M. GribbleFrank ReimannMatthew P. CoghlanDavid BakerEmma K. Biggs
- Journals
- Nature Communications (1 paper)PLoS ONE (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
David C. Hornigold
27 papers receiving 575 citations
Peers
Comparison fields: 5 of 86
- Endocrinology, Diabetes and Metabolism 248
- Endocrine and Autonomic Systems 51
- Physiology 124
- Surgery 202
- Pharmacology 72
Countries citing papers authored by David C. Hornigold
This map shows the geographic impact of David C. Hornigold'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 David C. Hornigold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David C. Hornigold more than expected).
Fields of papers citing papers by David C. Hornigold
This network shows the impact of papers produced by David C. Hornigold. 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 David C. Hornigold. The network helps show where David C. Hornigold may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David C. Hornigold, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 14 | |
| 5 | 2024 | 16 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 13 | |
| 9 | 2020 | 10 | |
| 10 | 2019 | 117 | |
| 11 | 2018 | 31 | |
| 12 | 2017 | 25 | |
| 13 | 2017 | 30 | |
| 14 | 2017 | 11 | |
| 15 | 2016 | 14 | |
| 16 | 2016 | 0 | |
| 17 | 2015 | 9 | |
| 18 | 2014 | 11 | |
| 19 | 2011 | 72 | |
| 20 | 2003 | 30 |
About David C. Hornigold
David C. Hornigold is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Microbiology, having authored 30 papers that have together received 580 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (12 papers), Pancreatic function and diabetes (10 papers), Receptor Mechanisms and Signaling (9 papers), Metabolism, Diabetes, and Cancer (8 papers), Diet and metabolism studies (4 papers), Neuropeptides and Animal Physiology (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (248 citations), Endocrine and Autonomic Systems (51 citations) and Physiology (124 citations). David C. Hornigold has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include John Unitt, Jacqueline Naylor, Peter Ravn, Fiona M. Gribble, Frank Reimann, Matthew P. Coghlan, David Baker, Emma K. Biggs, Andrew B. Leiter and Giles S.H. Yeo. Their work appears in journals such as Nature Communications, PLoS ONE and The Journal of Clinical Endocrinology & 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.