Simone Tchu
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Inflammatory mediators and NSAID effects
- Genetics top 10%
- Estrogen and related hormone effects
Papers in
-
- Pharmacogenetics and Drug Metabolism 5
- Inflammatory mediators and NSAID effects 2
- Genetics 5
- Estrogen and related hormone effects 4
- Co-authors
- Alan H.B. Wu (4 shared papers)H. Jeffrey Lawrence (2 shared papers)D M Nikoloff (1 shared paper)Marcel Fontecha (1 shared paper)Joanne Mortimer (1 shared paper)John P. Pierce (1 shared paper)Shirley W. Flatt (1 shared paper)Lisa Madlensky (1 shared paper)
- Journals
- Breast Cancer Research and Treatment (2 papers)Clinical Pharmacology & Therapeutics (1 paper)Biochemical Journal (1 paper)Biochemical and Biophysical Research Communications (1 paper)Genome Medicine (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Simone Tchu
8 papers receiving 417 citations
Peers
Comparison fields: 5 of 68
- Pharmacology 225
- Genetics 249
- Pharmacology 90
- Oncology 133
- Cancer Research 59
Countries citing papers authored by Simone Tchu
This map shows the geographic impact of Simone Tchu'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 Simone Tchu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Tchu more than expected).
Fields of papers citing papers by Simone Tchu
This network shows the impact of papers produced by Simone Tchu. 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 Simone Tchu. The network helps show where Simone Tchu may publish in the future.
Co-authors
The 25 scholars most cited alongside Simone Tchu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 246 | |
| 2 | 2011 | 108 | |
| 3 | 1994 | 24 | |
| 4 | 2012 | 11 | |
| 5 | 2011 | 10 | |
| 6 | 2022 | 10 | |
| 7 | 2012 | 9 | |
| 8 | 1995 | 3 |
About Simone Tchu
Simone Tchu is a scholar working on Pharmacology, Genetics, Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology, having authored 8 papers that have together received 421 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (5 papers), Estrogen and related hormone effects (4 papers), Pancreatic function and diabetes (2 papers), Inflammatory mediators and NSAID effects (2 papers), Metabolism and Genetic Disorders (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Analytical chemistry methods development (1 paper) and Diabetes Treatment and Management (1 paper). The work is most often cited by research in Pharmacology (225 citations), Genetics (249 citations), Pharmacology (90 citations), Oncology (133 citations) and Cancer Research (59 citations). Simone Tchu has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Alan H.B. Wu, H. Jeffrey Lawrence, D M Nikoloff, Marcel Fontecha, Joanne Mortimer, John P. Pierce, Shirley W. Flatt, Lisa Madlensky, BA Parker and Grantland Hillman. Their work appears in journals such as Breast Cancer Research and Treatment, Clinical Pharmacology & Therapeutics, Biochemical Journal, Biochemical and Biophysical Research Communications and Genome Medicine.
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.