Mohammad Nasser Kabbany
- Epidemiology top 10%
- Hepatology top 5%
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Physiology
- Co-authors
- Praveen Kumar Conjeevaram SelvakumarNaim AlkhouriRocío LópezNizar N. ZeinWilliam D. CareyKymberly D. WattValério NobiliJane Lynch
- Topics
- Liver Disease Diagnosis and Treatment (16 papers)Liver Disease and Transplantation (10 papers)Liver Diseases and Immunity (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaGastroenterologyJournal of Hepatology
- Partner nations
- United StatesItaly
In The Last Decade
Mohammad Nasser Kabbany
20 papers receiving 379 citations
Peers
Comparison fields: 5 of 51
- Epidemiology 334
- Hepatology 172
- Endocrinology, Diabetes and Metabolism 148
- Surgery 74
- Physiology 57
Countries citing papers authored by Mohammad Nasser Kabbany
This map shows the geographic impact of Mohammad Nasser Kabbany'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 Mohammad Nasser Kabbany with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Nasser Kabbany more than expected).
Fields of papers citing papers by Mohammad Nasser Kabbany
This network shows the impact of papers produced by Mohammad Nasser Kabbany. 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 Mohammad Nasser Kabbany. The network helps show where Mohammad Nasser Kabbany may publish in the future.
Co-authorship network of co-authors of Mohammad Nasser Kabbany
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Nasser Kabbany. A scholar is included among the top collaborators of Mohammad Nasser Kabbany 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 Mohammad Nasser Kabbany. Mohammad Nasser Kabbany is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 1 | |
| 8 | 26 | |
| 9 | 22 | |
| 10 | 39 | |
| 11 | 9 | |
| 12 | 13 | |
| 13 | 31 | |
| 14 | 3 | |
| 15 | 180 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 9 | |
| 19 | 22 | |
| 20 | 1 |
About Mohammad Nasser Kabbany
Mohammad Nasser Kabbany is a scholar working on Hepatology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 385 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (16 papers), Liver Disease and Transplantation (10 papers) and Liver Diseases and Immunity (6 papers). The work is most often cited by research in Hepatology (172 citations), Epidemiology (334 citations) and Endocrinology, Diabetes and Metabolism (148 citations). Mohammad Nasser Kabbany has collaborated with scholars based in United States and Italy. Frequent co-authors include Praveen Kumar Conjeevaram Selvakumar, Naim Alkhouri, Rocío López, Nizar N. Zein, William D. Carey, Kymberly D. Watt, Valério Nobili, Jane Lynch, Sarah Worley and Anna Alisi. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and Journal of Hepatology.
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.