Jan Fairchild
Impact in
-
- Diabetes Management and Research
- Diabetes Treatment and Management
- Ophthalmology top 5%
- Retinal Diseases and Treatments
Papers in
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- Diabetes Management and Research 12
- Pituitary Gland Disorders and Treatments 3
- Diabetes, Cardiovascular Risks, and Lipoproteins 2
- Genetics 10
- Diabetes and associated disorders 9
- Co-authors
- Kim C. Donaghue (9 shared papers)Martin Silink (9 shared papers)Stephen Hing (6 shared papers)N. J. Howard (5 shared papers)Albert K. Chan (3 shared papers)Neville J. Howard (3 shared papers)Jennie King (2 shared papers)Andrew Chan (2 shared papers)
- Journals
- Pediatric Diabetes (3 papers)Diabetic Medicine (3 papers)Diabetes Technology & Therapeutics (2 papers)Diabetes Care (2 papers)BMJ Open (1 paper)
- Partner nations
- AustraliaUnited StatesSingapore
In The Last Decade
Jan Fairchild
21 papers receiving 527 citations
Peers
Comparison fields: 5 of 62
- Endocrinology, Diabetes and Metabolism 393
- Ophthalmology 93
- Genetics 283
- Gastroenterology 47
- Surgery 216
Countries citing papers authored by Jan Fairchild
This map shows the geographic impact of Jan Fairchild'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 Jan Fairchild with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Fairchild more than expected).
Fields of papers citing papers by Jan Fairchild
This network shows the impact of papers produced by Jan Fairchild. 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 Jan Fairchild. The network helps show where Jan Fairchild may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Fairchild, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 78 | |
| 2 | 2005 | 57 | |
| 3 | 2005 | 51 | |
| 4 | 2012 | 47 | |
| 5 | 2022 | 44 | |
| 6 | 1996 | 42 | |
| 7 | 1999 | 37 | |
| 8 | 1995 | 33 | |
| 9 | 1994 | 31 | |
| 10 | 2016 | 29 | |
| 11 | 1997 | 24 | |
| 12 | 2000 | 20 | |
| 13 | 2018 | 11 | |
| 14 | 2006 | 11 | |
| 15 | 2018 | 11 | |
| 16 | 2014 | 9 | |
| 17 | 2012 | 8 | |
| 18 | 2021 | 6 | |
| 19 | 2014 | 4 | |
| 20 | 2018 | 2 |
About Jan Fairchild
Jan Fairchild is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Ophthalmology and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 556 indexed citations. Recurring topics across this work include Diabetes Management and Research (12 papers), Diabetes and associated disorders (9 papers), Pancreatic function and diabetes (7 papers), Retinal Diseases and Treatments (5 papers), Pituitary Gland Disorders and Treatments (3 papers), Retinopathy of Prematurity Studies (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Retinal Imaging and Analysis (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (393 citations), Ophthalmology (93 citations), Genetics (283 citations), Gastroenterology (47 citations) and Surgery (216 citations). Jan Fairchild has collaborated with scholars based in Australia, United States and Singapore. Frequent co-authors include Kim C. Donaghue, Martin Silink, Stephen Hing, N. J. Howard, Albert K. Chan, Neville J. Howard, Jennie King, Andrew Chan, Melanie Wong and Alessandra Doolan. Their work appears in journals such as Pediatric Diabetes, Diabetic Medicine, Diabetes Technology & Therapeutics, Diabetes Care and BMJ Open.
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.