Ann M. Simpson
Impact in
- Genetics top 10%
- Diabetes and associated disorders
- Parasitology top 10%
- Parasites and Host Interactions
Papers in
- Co-authors
- Najah T. Nassif (27 shared papers)Yiguang Lin (4 shared papers)Nahal Haddadi (4 shared papers)Eileen McGowan (4 shared papers)Bronwyn A. O’Brien (16 shared papers)Lal S (9 shared papers)M. A. Swan (9 shared papers)I. G. White (4 shared papers)
- Journals
- Transplantation (4 papers)Journal of Autoimmunity (3 papers)Scientific Reports (2 papers)Biomarker Insights (2 papers)Cells (2 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Ann M. Simpson
58 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 121
- Genetics 276
- Parasitology 59
- Reproductive Medicine 70
- Endocrinology, Diabetes and Metabolism 129
- Cancer Research 116
Countries citing papers authored by Ann M. Simpson
This map shows the geographic impact of Ann M. Simpson'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 Ann M. Simpson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann M. Simpson more than expected).
Fields of papers citing papers by Ann M. Simpson
This network shows the impact of papers produced by Ann M. Simpson. 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 Ann M. Simpson. The network helps show where Ann M. Simpson may publish in the future.
Co-authors
The 25 scholars most cited alongside Ann M. Simpson, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 241 | |
| 2 | 2018 | 74 | |
| 3 | 2014 | 61 | |
| 4 | 2007 | 49 | |
| 5 | 2023 | 46 | |
| 6 | 2022 | 46 | |
| 7 | 2017 | 45 | |
| 8 | 2003 | 42 | |
| 9 | 2016 | 40 | |
| 10 | 2017 | 35 | |
| 11 | 1986 | 32 | |
| 12 | Increased retinoic acid receptor gamma expression suppresses the malignant phenotype and alters the differentiation potential of human neuroblastoma cells. | 1995 | 28 |
| 13 | 2013 | 26 | |
| 14 | 1986 | 20 | |
| 15 | 2017 | 19 | |
| 16 | 2014 | 18 | |
| 17 | 2001 | 17 | |
| 18 | 2002 | 15 | |
| 19 | 2010 | 14 | |
| 20 | 2003 | 14 |
About Ann M. Simpson
Ann M. Simpson is a scholar working on Surgery, Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (30 papers), Diabetes and associated disorders (21 papers), Diabetes Management and Research (7 papers), Virus-based gene therapy research (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Diet, Metabolism, and Disease (5 papers), CRISPR and Genetic Engineering (4 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Genetics (276 citations), Parasitology (59 citations), Reproductive Medicine (70 citations), Endocrinology, Diabetes and Metabolism (129 citations) and Cancer Research (116 citations). Ann M. Simpson has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Najah T. Nassif, Yiguang Lin, Nahal Haddadi, Eileen McGowan, Bronwyn A. O’Brien, Lal S, M. A. Swan, I. G. White, Bernard E. Tuch and Rosetta Martiniello‐Wilks. Their work appears in journals such as Transplantation, Journal of Autoimmunity, Scientific Reports, Biomarker Insights and Cells.
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.