Amy M. Ehrlich
Impact in
- Biological Psychiatry top 10%
Papers in
-
- Gut microbiota and health 8
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- Adipose Tissue and Metabolism 5
- Spaceflight effects on biology 2
- Co-authors
- Helen E. Raybould (8 shared papers)György Hajnóczky (1 shared paper)William J. Craigen (1 shared paper)Soumya Sinha Roy (1 shared paper)Carolyn M. Slupsky (4 shared papers)Diana H. Taft (4 shared papers)Michael L. Goodson (3 shared papers)David A. Mills (3 shared papers)
- Journals
- Journal of Animal Science (3 papers)Proceedings of the National Academy of Sciences (2 papers)Cell Metabolism (1 paper)EMBO Reports (1 paper)Animal Feed Science and Technology (1 paper)
- Partner nations
- United StatesDenmarkSweden
In The Last Decade
Amy M. Ehrlich
24 papers receiving 705 citations
Peers
Comparison fields: 5 of 101
- Biological Psychiatry 34
- Applied Microbiology and Biotechnology 20
- Animal Science and Zoology 81
- Food Science 131
- Endocrine and Autonomic Systems 48
Countries citing papers authored by Amy M. Ehrlich
This map shows the geographic impact of Amy M. Ehrlich'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 Amy M. Ehrlich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy M. Ehrlich more than expected).
Fields of papers citing papers by Amy M. Ehrlich
This network shows the impact of papers produced by Amy M. Ehrlich. 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 Amy M. Ehrlich. The network helps show where Amy M. Ehrlich may publish in the future.
Co-authors
The 25 scholars most cited alongside Amy M. Ehrlich, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 192 | |
| 2 | 2009 | 104 | |
| 3 | 2019 | 65 | |
| 4 | 2022 | 53 | |
| 5 | 2019 | 49 | |
| 6 | 2007 | 48 | |
| 7 | 2017 | 43 | |
| 8 | 2021 | 37 | |
| 9 | 2020 | 36 | |
| 10 | 2018 | 21 | |
| 11 | 2023 | 20 | |
| 12 | 2023 | 14 | |
| 13 | 2023 | 9 | |
| 14 | 2024 | 7 | |
| 15 | 2022 | 4 | |
| 16 | 1984 | 4 | |
| 17 | 2018 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2017 | 1 |
About Amy M. Ehrlich
Amy M. Ehrlich is a scholar working on Molecular Biology, Physiology, Food Science, Nutrition and Dietetics and Endocrine and Autonomic Systems, having authored 24 papers that have together received 717 indexed citations. Recurring topics across this work include Gut microbiota and health (8 papers), Probiotics and Fermented Foods (6 papers), Adipose Tissue and Metabolism (5 papers), Infant Nutrition and Health (4 papers), Animal Nutrition and Physiology (3 papers), Circadian rhythm and melatonin (3 papers), Spaceflight effects on biology (2 papers) and Dementia and Cognitive Impairment Research (2 papers). The work is most often cited by research in Biological Psychiatry (34 citations), Applied Microbiology and Biotechnology (20 citations), Animal Science and Zoology (81 citations), Food Science (131 citations) and Endocrine and Autonomic Systems (48 citations). Amy M. Ehrlich has collaborated with scholars based in United States, Denmark and Sweden. Frequent co-authors include Helen E. Raybould, György Hajnóczky, William J. Craigen, Soumya Sinha Roy, Carolyn M. Slupsky, Diana H. Taft, Michael L. Goodson, David A. Mills, Alline R. Pacheco and Bethany M. Henrick. Their work appears in journals such as Journal of Animal Science, Proceedings of the National Academy of Sciences, Cell Metabolism, EMBO Reports and Animal Feed Science and Technology.
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.