Sevda Gheibi
- Physiology top 10%
- Molecular Biology
- Biochemistry top 2%
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Co-authors
- Asghar GhasemiKhosrow KashfiSajad JeddiMattias CarlströmHomeira ZardoozKhadijeh FarrokhfallHamid Kalalian MoghaddamFatemeh Zare Mehrjerdi
- Topics
- Sulfur Compounds in Biology (10 papers)Pancreatic function and diabetes (7 papers)Nitric Oxide and Endothelin Effects (6 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaDiabetes
- Partner nations
- IranSwedenUnited States
In The Last Decade
Sevda Gheibi
29 papers receiving 855 citations
Peers
Comparison fields: 5 of 104
- Physiology 312
- Molecular Biology 243
- Biochemistry 235
- Endocrinology, Diabetes and Metabolism 182
- Surgery 136
Countries citing papers authored by Sevda Gheibi
This map shows the geographic impact of Sevda Gheibi'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 Sevda Gheibi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sevda Gheibi more than expected).
Fields of papers citing papers by Sevda Gheibi
This network shows the impact of papers produced by Sevda Gheibi. 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 Sevda Gheibi. The network helps show where Sevda Gheibi may publish in the future.
Co-authorship network of co-authors of Sevda Gheibi
This figure shows the co-authorship network connecting the top 25 collaborators of Sevda Gheibi. A scholar is included among the top collaborators of Sevda Gheibi 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 Sevda Gheibi. Sevda Gheibi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 13 | |
| 5 | 18 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 6 | |
| 9 | 11 | |
| 10 | 48 | |
| 11 | 9 | |
| 12 | 20 | |
| 13 | 15 | |
| 14 | 31 | |
| 15 | 85 | |
| 16 | 68 | |
| 17 | 12 | |
| 18 | 64 | |
| 19 | A Review of High Fat Diet-Streptozotocin Model for Induction of Type 2 Diabetes in Rat | 6 |
| 20 | 82 |
About Sevda Gheibi
Sevda Gheibi is a scholar working on Biochemistry, Endocrine and Autonomic Systems and Endocrinology, Diabetes and Metabolism, having authored 30 papers that have together received 869 indexed citations. Recurring topics across this work include Sulfur Compounds in Biology (10 papers), Pancreatic function and diabetes (7 papers) and Nitric Oxide and Endothelin Effects (6 papers). The work is most often cited by research in Biochemistry (235 citations), Endocrine and Autonomic Systems (99 citations) and Physiology (312 citations). Sevda Gheibi has collaborated with scholars based in Iran, Sweden and United States. Frequent co-authors include Asghar Ghasemi, Khosrow Kashfi, Sajad Jeddi, Mattias Carlström, Homeira Zardooz, Khadijeh Farrokhfall, Hamid Kalalian Moghaddam, Fatemeh Zare Mehrjerdi, Abedin Vakili and Mehdi Khaksari. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Diabetes.
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.