Amber Jannasch
- Molecular Biology top 10%
- Physiology top 10%
- Immunology
- Nutrition and Dietetics top 5%
- Biological Psychiatry top 5%
- Co-authors
- Bruce R. CooperJulie A. PattersonChang H. KimSeung Goo KangMyunghoo KimJason Y. ParkJiří AdamecMário G. Ferruzzi
- Topics
- Metabolomics and Mass Spectrometry Studies (5 papers)Fatty Acid Research and Health (3 papers)Eicosanoids and Hypertension Pharmacology (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEPLANT PHYSIOLOGY
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Amber Jannasch
29 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 953
- Physiology 332
- Immunology 214
- Nutrition and Dietetics 198
- Biological Psychiatry 146
Countries citing papers authored by Amber Jannasch
This map shows the geographic impact of Amber Jannasch'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 Amber Jannasch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amber Jannasch more than expected).
Fields of papers citing papers by Amber Jannasch
This network shows the impact of papers produced by Amber Jannasch. 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 Amber Jannasch. The network helps show where Amber Jannasch may publish in the future.
Co-authorship network of co-authors of Amber Jannasch
This figure shows the co-authorship network connecting the top 25 collaborators of Amber Jannasch. A scholar is included among the top collaborators of Amber Jannasch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amber Jannasch. Amber Jannasch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 6 | |
| 7 | 13 | |
| 8 | 3 | |
| 9 | 19 | |
| 10 | Short-chain fatty acids induce both effector and regulatory T cells by suppression of histone deacetylases and regulation of the mTOR–S6K pathwaybreakdown → | 962 |
| 11 | 1 | |
| 12 | 41 | |
| 13 | 44 | |
| 14 | 9 | |
| 15 | 22 | |
| 16 | 25 | |
| 17 | 9 | |
| 18 | 65 | |
| 19 | 16 | |
| 20 | 19 |
About Amber Jannasch
Amber Jannasch is a scholar working on Biochemistry, Biochemistry and Nutrition and Dietetics, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (5 papers), Fatty Acid Research and Health (3 papers) and Eicosanoids and Hypertension Pharmacology (2 papers). The work is most often cited by research in Biological Psychiatry (146 citations), Gastroenterology (80 citations) and Molecular Biology (953 citations). Amber Jannasch has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Bruce R. Cooper, Julie A. Patterson, Chang H. Kim, Seung Goo Kang, Myunghoo Kim, Jason Y. Park, Jiří Adamec, Mário G. Ferruzzi, Lap Ho and Bruce D’Arcy. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and PLANT PHYSIOLOGY.
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.