John Hattersley
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Nephrology top 10%
- Dialysis and Renal Disease Management
Papers in
-
- Metabolism, Diabetes, and Cancer 2
- Cell Biology 10
- Muscle metabolism and nutrition 10
- Co-authors
- Neil D. Evans (8 shared papers)A.R. Bradwell (5 shared papers)Paul Cockwell (4 shared papers)Mark Cook (3 shared papers)Colin A. Hutchison (4 shared papers)Martin O. Weickert (11 shared papers)Derek Renshaw (10 shared papers)Alexander Dallaway (9 shared papers)
- Journals
- PLoS ONE (3 papers)Computer Methods and Programs in Biomedicine (3 papers)Experimental Gerontology (3 papers)BMJ Open (2 papers)Journal of Applied Physiology (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
John Hattersley
48 papers receiving 982 citations
Peers
Comparison fields: 5 of 113
- Hematology 223
- Nephrology 75
- Physiology 184
- Cell Biology 104
- Endocrinology, Diabetes and Metabolism 62
Countries citing papers authored by John Hattersley
This map shows the geographic impact of John Hattersley'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 John Hattersley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Hattersley more than expected).
Fields of papers citing papers by John Hattersley
This network shows the impact of papers produced by John Hattersley. 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 John Hattersley. The network helps show where John Hattersley may publish in the future.
Co-authors
The 25 scholars most cited alongside John Hattersley, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 182 | |
| 2 | 2009 | 165 | |
| 3 | 2015 | 76 | |
| 4 | 2018 | 56 | |
| 5 | 2020 | 41 | |
| 6 | 2016 | 39 | |
| 7 | 2021 | 37 | |
| 8 | 2014 | 32 | |
| 9 | 2020 | 25 | |
| 10 | 1983 | 25 | |
| 11 | 2018 | 24 | |
| 12 | 2018 | 23 | |
| 13 | 2020 | 22 | |
| 14 | 2018 | 20 | |
| 15 | 2014 | 19 | |
| 16 | 2020 | 17 | |
| 17 | 2012 | 16 | |
| 18 | 2018 | 14 | |
| 19 | 2006 | 13 | |
| 20 | 2020 | 12 |
About John Hattersley
John Hattersley is a scholar working on Molecular Biology, Cell Biology, Physiology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 53 papers that have together received 1.0k indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (10 papers), High Altitude and Hypoxia (4 papers), Diabetes Management and Research (4 papers), Multiple Myeloma Research and Treatments (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Family and Disability Support Research (3 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Hematology (223 citations), Nephrology (75 citations), Physiology (184 citations), Cell Biology (104 citations) and Endocrinology, Diabetes and Metabolism (62 citations). John Hattersley has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Neil D. Evans, A.R. Bradwell, Paul Cockwell, Mark Cook, Colin A. Hutchison, Martin O. Weickert, Derek Renshaw, Alexander Dallaway, Harpal Randeva and Michael Duncan. Their work appears in journals such as PLoS ONE, Computer Methods and Programs in Biomedicine, Experimental Gerontology, BMJ Open and Journal of Applied Physiology.
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.