Fatemeh Naeini
- Epidemiology
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Physiology
- Co-authors
- Helda TutunchiAlireza OstadrahimiMohammad Javad Hosseinzadeh‐AttarMajid MobasseriOmid AsbaghiSajjad MoradiHamed MohammadiSiavash Mansouri
- Topics
- Liver Disease Diagnosis and Treatment (15 papers)Diet, Metabolism, and Disease (12 papers)Nutritional Studies and Diet (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaCritical Reviews in Food Science and NutritionNutrients
- Partner nations
- IranUnited KingdomUnited States
In The Last Decade
Fatemeh Naeini
49 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 104
- Epidemiology 241
- Molecular Biology 235
- Public Health, Environmental and Occupational Health 166
- Endocrinology, Diabetes and Metabolism 157
- Physiology 155
Countries citing papers authored by Fatemeh Naeini
This map shows the geographic impact of Fatemeh Naeini'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 Fatemeh Naeini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fatemeh Naeini more than expected).
Fields of papers citing papers by Fatemeh Naeini
This network shows the impact of papers produced by Fatemeh Naeini. 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 Fatemeh Naeini. The network helps show where Fatemeh Naeini may publish in the future.
Co-authorship network of co-authors of Fatemeh Naeini
This figure shows the co-authorship network connecting the top 25 collaborators of Fatemeh Naeini. A scholar is included among the top collaborators of Fatemeh Naeini 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 Fatemeh Naeini. Fatemeh Naeini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 11 | |
| 11 | 4 | |
| 12 | 41 | |
| 13 | 7 | |
| 14 | 18 | |
| 15 | 23 | |
| 16 | 45 | |
| 17 | 22 | |
| 18 | 17 | |
| 19 | 13 | |
| 20 | 50 |
About Fatemeh Naeini
Fatemeh Naeini is a scholar working on Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics and Biochemistry, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (15 papers), Diet, Metabolism, and Disease (12 papers) and Nutritional Studies and Diet (8 papers). The work is most often cited by research in Biochemistry (93 citations), Molecular Medicine (76 citations) and Endocrinology, Diabetes and Metabolism (157 citations). Fatemeh Naeini has collaborated with scholars based in Iran, United Kingdom and United States. Frequent co-authors include Helda Tutunchi, Alireza Ostadrahimi, Mohammad Javad Hosseinzadeh‐Attar, Majid Mobasseri, Omid Asbaghi, Sajjad Moradi, Hamed Mohammadi, Siavash Mansouri, Arash Karimi and Mehdi Yaseri. Their work appears in journals such as SHILAP Revista de lepidopterología, Critical Reviews in Food Science and Nutrition and Nutrients.
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.