Sina Noshad
- Endocrinology, Diabetes and Metabolism top 2%
- Epidemiology top 10%
- Molecular Biology
- Physiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Alireza EsteghamatiManouchehr NakhjavaniMostafa MousavizadehMohsen AfaridehElias KhajehOmid KhalilzadehHossein MirmiranpourAlipasha Meysamie
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (12 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers)Metabolism, Diabetes, and Cancer (6 papers)
- Partner nations
- IranUnited StatesTaiwan
In The Last Decade
Sina Noshad
57 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 130
- Endocrinology, Diabetes and Metabolism 706
- Epidemiology 435
- Molecular Biology 325
- Physiology 271
- Cardiology and Cardiovascular Medicine 246
Countries citing papers authored by Sina Noshad
This map shows the geographic impact of Sina Noshad'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 Sina Noshad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sina Noshad more than expected).
Fields of papers citing papers by Sina Noshad
This network shows the impact of papers produced by Sina Noshad. 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 Sina Noshad. The network helps show where Sina Noshad may publish in the future.
Co-authorship network of co-authors of Sina Noshad
This figure shows the co-authorship network connecting the top 25 collaborators of Sina Noshad. A scholar is included among the top collaborators of Sina Noshad 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 Sina Noshad. Sina Noshad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 17 | |
| 4 | Association of Human Leukocyte Antigens Class I and II with Graves' Disease in Iranian Population. | 11 |
| 5 | Zero and Five End-Digit Preference and Blood Pressure Quality of Care Revisited. | 3 |
| 6 | 12 | |
| 7 | 27 | |
| 8 | Awareness, Treatment and Control of Pre-hypertension and Hypertension among Adults in Iran. | 38 |
| 9 | 21 | |
| 10 | 32 | |
| 11 | 21 | |
| 12 | 8 | |
| 13 | 21 | |
| 14 | 28 | |
| 15 | 8 | |
| 16 | 8 | |
| 17 | 58 | |
| 18 | 27 | |
| 19 | 34 | |
| 20 | 20 |
About Sina Noshad
Sina Noshad is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Epidemiology, having authored 57 papers that have together received 1.7k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers) and Metabolism, Diabetes, and Cancer (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (706 citations), Epidemiology (435 citations) and Cardiology and Cardiovascular Medicine (246 citations). Sina Noshad has collaborated with scholars based in Iran, United States and Taiwan. Frequent co-authors include Alireza Esteghamati, Manouchehr Nakhjavani, Mostafa Mousavizadeh, Mohsen Afarideh, Elias Khajeh, Omid Khalilzadeh, Hossein Mirmiranpour, Alipasha Meysamie, Alireza Ghajar and Jeffrey I. Mechanick. Their work appears in journals such as Neurology, Scientific Reports and British Journal Of Nutrition.
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.