John Mace
Impact in
-
- Diabetes Management and Research
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
Papers in
- Surgery 13
- Pancreatic function and diabetes 11
-
- Mitochondrial Function and Pathology 4
- Biochemical and Molecular Research 3
- Co-authors
- Eba Hathout (18 shared papers)Stephen I. Goodman (5 shared papers)Fadi Nahab (3 shared papers)Richard Chinnock (8 shared papers)Mohamed A. El-Shahawy (2 shared papers)W. Lawrence Beeson (2 shared papers)Edward R.B. McCabe (3 shared papers)Paul V. Fennessey (3 shared papers)
- Journals
- Pediatric Research (3 papers)Pediatric Diabetes (3 papers)PEDIATRICS (3 papers)The Journal of Pediatrics (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)
- Partner nations
- United StatesRussiaJapan
In The Last Decade
John Mace
35 papers receiving 893 citations
Peers
Comparison fields: 5 of 91
- Endocrinology, Diabetes and Metabolism 268
- Clinical Biochemistry 97
- Biochemistry 98
- Genetics 294
- Surgery 349
Countries citing papers authored by John Mace
This map shows the geographic impact of John Mace'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 Mace with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Mace more than expected).
Fields of papers citing papers by John Mace
This network shows the impact of papers produced by John Mace. 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 Mace. The network helps show where John Mace may publish in the future.
Co-authors
The 25 scholars most cited alongside John Mace, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 118 | |
| 2 | 1975 | 110 | |
| 3 | 2006 | 79 | |
| 4 | 1980 | 77 | |
| 5 | 2002 | 58 | |
| 6 | 2009 | 44 | |
| 7 | 2003 | 41 | |
| 8 | 2003 | 39 | |
| 9 | 2006 | 36 | |
| 10 | 2008 | 32 | |
| 11 | 2003 | 31 | |
| 12 | 1999 | 26 | |
| 13 | 1972 | 25 | |
| 14 | 2009 | 23 | |
| 15 | 2007 | 23 | |
| 16 | 2009 | 23 | |
| 17 | 1974 | 22 | |
| 18 | 2000 | 15 | |
| 19 | 1971 | 15 | |
| 20 | 2005 | 14 |
About John Mace
John Mace is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics and Clinical Biochemistry, having authored 36 papers that have together received 943 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (11 papers), Diabetes Management and Research (6 papers), Diabetes and associated disorders (6 papers), Metabolism and Genetic Disorders (5 papers), Mitochondrial Function and Pathology (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Biochemical and Molecular Research (3 papers) and Renal Transplantation Outcomes and Treatments (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (268 citations), Clinical Biochemistry (97 citations), Biochemistry (98 citations), Genetics (294 citations) and Surgery (349 citations). John Mace has collaborated with scholars based in United States, Russia and Japan. Frequent co-authors include Eba Hathout, Stephen I. Goodman, Fadi Nahab, Richard Chinnock, Mohamed A. El-Shahawy, W. Lawrence Beeson, Edward R.B. McCabe, Paul V. Fennessey, André Obenaus and Frank Tietze. Their work appears in journals such as Pediatric Research, Pediatric Diabetes, PEDIATRICS, The Journal of Pediatrics 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.