Ghada Ajabnoor
- Molecular Biology
- Physiology top 10%
- Epidemiology
- Endocrinology, Diabetes and Metabolism top 10%
- Oncology
- Co-authors
- Suhad BahijriHelen M. ColeyTim CrookAnwar BoraiGeorge P. ChrousosJumana Y. Al‐AamaNoor Ahmad ShaikAliaa A. Alamoudi
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers)Liver Disease Diagnosis and Treatment (6 papers)Nutritional Studies and Diet (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONECancer Research
- Partner nations
- Saudi ArabiaFinlandEgypt
In The Last Decade
Ghada Ajabnoor
40 papers receiving 692 citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 267
- Physiology 205
- Epidemiology 122
- Endocrinology, Diabetes and Metabolism 113
- Oncology 71
Countries citing papers authored by Ghada Ajabnoor
This map shows the geographic impact of Ghada Ajabnoor'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 Ghada Ajabnoor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ghada Ajabnoor more than expected).
Fields of papers citing papers by Ghada Ajabnoor
This network shows the impact of papers produced by Ghada Ajabnoor. 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 Ghada Ajabnoor. The network helps show where Ghada Ajabnoor may publish in the future.
Co-authorship network of co-authors of Ghada Ajabnoor
This figure shows the co-authorship network connecting the top 25 collaborators of Ghada Ajabnoor. A scholar is included among the top collaborators of Ghada Ajabnoor 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 Ghada Ajabnoor. Ghada Ajabnoor 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 | 5 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | The Association Between Prediabetes and Dyslipidemia Among Attendants of Primary Care Health Centers in Jeddah, Saudi Arabia | 2 |
| 10 | 21 | |
| 11 | 23 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | 20 | |
| 15 | 23 | |
| 16 | 40 | |
| 17 | 9 | |
| 18 | 57 | |
| 19 | 154 | |
| 20 | Paclitaxel-resistant MCF-7 cells show a caspase-less phenotype but retain sensitivity to many anticancer agents | 1 |
About Ghada Ajabnoor
Ghada Ajabnoor is a scholar working on Toxicology, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 44 papers that have together received 705 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Liver Disease Diagnosis and Treatment (6 papers) and Nutritional Studies and Diet (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (58 citations), Physiology (205 citations) and Endocrinology, Diabetes and Metabolism (113 citations). Ghada Ajabnoor has collaborated with scholars based in Saudi Arabia, Finland and Egypt. Frequent co-authors include Suhad Bahijri, Helen M. Coley, Tim Crook, Anwar Borai, George P. Chrousos, Jumana Y. Al‐Aama, Noor Ahmad Shaik, Aliaa A. Alamoudi, Rajaa Al‐Raddadi and Hanan Jambi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.
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.