Ann M. Simpson

1.6k citations
60 papers · 1.2k · h-index 17

Impact in

Papers in

    • Pancreatic function and diabetes 27
    • PI3K/AKT/mTOR signaling in cancer 5
    • CRISPR and Genetic Engineering 4

Ann M. Simpson

58 papers receiving 1.1k citations

Peers

Ann M. Simpson
Comparison fields: 5 of 123
  • Parasitology 58
  • Reproductive Medicine 68
  • Genetics 233
  • Surgery 305
  • Cancer Research 106
Replace Yan Gao with:
Yan Gao China
Hector W. Alila United States
Kathryn A. Rich United States
Brad J. Geddes United States
Ling Shao United States
Tomoko Amano Japan
Ichiro Tanii Japan
K. Scott Weber United States
Garrett Heinrich United States
Mathilde Raverdeau Ireland
Ann M. Simpson relative to Yan Gao China Yan Gao's profile →
Citations per field
00.5×4.1×
Yan Gao · 1×
Citations per year

Countries citing papers authored by Ann M. Simpson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ann M. Simpson Line = papers co-authored together Ann M. Simpson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018246
2 201875
3 201462
4 202357
5 200750
6 202249
7 201746
8 200342
9 201641
10 201736
11 198632
12
Increased retinoic acid receptor gamma expression suppresses the malignant phenotype and alters the differentiation potential of human neuroblastoma cells.
199528
13 201326
14 198620
15 201719
16 201418
17 200117
18 200215
19 200314
20 202314

About Ann M. Simpson

Ann M. Simpson is a scholar working on Surgery, Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (27 papers), Diabetes and associated disorders (15 papers), Diabetes Management and Research (7 papers), Virus-based gene therapy research (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Sperm and Testicular Function (4 papers), Reproductive Biology and Fertility (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Parasitology (58 citations), Reproductive Medicine (68 citations), Genetics (233 citations), Surgery (305 citations) and Cancer Research (106 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, Eileen McGowan, Nahal Haddadi, 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, PLoS ONE, Gene Therapy and International Journal of Molecular Sciences.

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.

Explore authors with similar magnitude of impact