Ann M. Simpson

1.6k citations
60 papers · 1.1k indexed · h-index 17

Impact in

  • Genetics top 10%
    • Diabetes and associated disorders
  • Parasitology top 10%
    • Parasites and Host Interactions

Papers in

Ann M. Simpson

58 papers receiving 1.1k citations

Peers

Ann M. Simpson
Comparison fields: 5 of 121
  • Genetics 276
  • Parasitology 59
  • Reproductive Medicine 70
  • Endocrinology, Diabetes and Metabolism 129
  • Cancer Research 116
Replace Ken‐ichi Yagami with:
Ken‐ichi Yagami Japan
Michael G. Blennerhassett Canada
K. Scott Weber United States
Tetsuya Okazaki Japan
Noriko Yokoyama Japan
Wendy Gilmore United States
Serafino Zappacosta Italy
Christina Luedke United States
Brad J. Geddes United States
Julie Cazareth France
Ann M. Simpson relative to Ken‐ichi Yagami Japan Ken‐ichi Yagami's profile →
Citations per field
00.5×4.7×
Ken‐ichi Yagami · 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-authorship network

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
#Work
1 20250
2 202346
3 202246
4 20211
5 20212
6 20212
7 20209
8 20196
9 201640
10 20152
11 201418
12 201461
13 201313
14 20093
15 200749
16 200110
17 199913
18 19985
19 199711
20 19955

About Ann M. Simpson

Ann M. Simpson is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Surgery, Reproductive Medicine and Cancer Research, 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), Reproductive Biology and Fertility (4 papers) and MicroRNA in disease regulation (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 Denmark. 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.

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