Layla Al‐Nakkash
- Biological Psychiatry top 5%
- Physiology top 5%
- Diet and metabolism studies 17
- Reproductive Medicine top 5%
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- Phytoestrogen effects and research 19
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- Diet, Metabolism, and Disease 11
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- Cystic Fibrosis Research Advances 10
- Neonatal Respiratory Health Research 5
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- Gut microbiota and health 7
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- Nutrition, Genetics, and Disease 6
- Digestive system and related health 6
- Co-authors
- Melissa M. Herbst‐KralovetzJames BakerTom L. BroderickTzyh‐Chang HwangThomas J. KelleyMitchell L. DrummJeffrey H. PlochockiJeganathan Ramesh Babu
- Journals
- Journal of Clinical Investigation (1 paper)SHILAP Revista de lepidopterología (3 papers)The Journal of Physiology (1 paper)
- Partner nations
- United StatesAustraliaPuerto Rico
In The Last Decade
Layla Al‐Nakkash
65 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Biological Psychiatry 71
- Physiology 443
- Reproductive Medicine 140
- Pathology and Forensic Medicine 237
- Endocrinology, Diabetes and Metabolism 179
Countries citing papers authored by Layla Al‐Nakkash
This map shows the geographic impact of Layla Al‐Nakkash'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 Layla Al‐Nakkash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Layla Al‐Nakkash more than expected).
Fields of papers citing papers by Layla Al‐Nakkash
This network shows the impact of papers produced by Layla Al‐Nakkash. 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 Layla Al‐Nakkash. The network helps show where Layla Al‐Nakkash may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Layla Al‐Nakkash, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 35 | |
| 4 | 2022 | 6 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 11 | |
| 7 | 2020 | 39 | |
| 8 | Genistein diet improves body weight, serum glucose and triglyceride levels in both male and female ob/ob mice | 2019 | 2 |
| 9 | 2019 | 26 | |
| 10 | 2019 | 23 | |
| 11 | 2017 | 16 | |
| 12 | 2017 | 31 | |
| 13 | 2017 | 8 | |
| 14 | 2016 | 15 | |
| 15 | 2015 | 7 | |
| 16 | 2011 | 13 | |
| 17 | 2010 | 15 | |
| 18 | 2006 | 29 | |
| 19 | 1997 | 23 | |
| 20 | 1995 | 72 |
About Layla Al‐Nakkash
Layla Al‐Nakkash is a scholar working on Biological Psychiatry, Physiology and Pathology and Forensic Medicine, having authored 71 papers that have together received 1.7k indexed citations. Recurring topics across this work include Phytoestrogen effects and research (19 papers), Diet and metabolism studies (17 papers), Diet, Metabolism, and Disease (11 papers), Cystic Fibrosis Research Advances (10 papers), Gut microbiota and health (7 papers), Nutrition, Genetics, and Disease (6 papers), Digestive system and related health (6 papers) and Neonatal Respiratory Health Research (5 papers). The work is most often cited by research in Biological Psychiatry (71 citations), Physiology (443 citations) and Reproductive Medicine (140 citations). Layla Al‐Nakkash has collaborated with scholars based in United States, Australia and Puerto Rico. Frequent co-authors include Melissa M. Herbst‐Kralovetz, James Baker, Tom L. Broderick, Tzyh‐Chang Hwang, Thomas J. Kelley, Mitchell L. Drumm, Jeffrey H. Plochocki, Jeganathan Ramesh Babu, Calvin U. Cotton and Thangiah Geetha. Their work appears in journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and The Journal of 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.