Gbenga Kazeem
- Epidemiology
- Genetics top 10%
- Infectious Diseases top 10%
- Surgery
- Molecular Biology
- Co-authors
- Martin FarrallOliver A. CornelyAndreas KarasBenoît GuéryMaria J. G. T. VehreschildAndrew C. NelsenCharles CoxMatthew R. Nelson
- Topics
- Renal Transplantation Outcomes and Treatments (12 papers)Organ Transplantation Techniques and Outcomes (9 papers)Clostridium difficile and Clostridium perfringens research (6 papers)
- Partner nations
- United KingdomGermanyItaly
In The Last Decade
Gbenga Kazeem
32 papers receiving 748 citations
Peers
Comparison fields: 5 of 73
- Epidemiology 213
- Genetics 191
- Infectious Diseases 183
- Surgery 135
- Molecular Biology 95
Countries citing papers authored by Gbenga Kazeem
This map shows the geographic impact of Gbenga Kazeem'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 Gbenga Kazeem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gbenga Kazeem more than expected).
Fields of papers citing papers by Gbenga Kazeem
This network shows the impact of papers produced by Gbenga Kazeem. 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 Gbenga Kazeem. The network helps show where Gbenga Kazeem may publish in the future.
Co-authorship network of co-authors of Gbenga Kazeem
This figure shows the co-authorship network connecting the top 25 collaborators of Gbenga Kazeem. A scholar is included among the top collaborators of Gbenga Kazeem 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 Gbenga Kazeem. Gbenga Kazeem 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 | 6 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 16 | |
| 11 | 3 | |
| 12 | 143 | |
| 13 | Renal function outcomes with prolonged-release tacrolimus according to donor age after de novo liver transplantation: a post hoc analysis from the diamond randomized, controlled trial | 2 |
| 14 | 35 | |
| 15 | 16 | |
| 16 | 85 | |
| 17 | 56 | |
| 18 | 119 | |
| 19 | 111 | |
| 20 | 16 |
About Gbenga Kazeem
Gbenga Kazeem is a scholar working on Transplantation, Infectious Diseases and Hepatology, having authored 32 papers that have together received 759 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (12 papers), Organ Transplantation Techniques and Outcomes (9 papers) and Clostridium difficile and Clostridium perfringens research (6 papers). The work is most often cited by research in Transplantation (82 citations), Infectious Diseases (183 citations) and Genetics (191 citations). Gbenga Kazeem has collaborated with scholars based in United Kingdom, Germany and Italy. Frequent co-authors include Martin Farrall, Oliver A. Cornely, Andreas Karas, Benoît Guéry, Maria J. G. T. Vehreschild, Andrew C. Nelsen, Charles Cox, Matthew R. Nelson, John A. Messenheimer and José Palacios. Their work appears in journals such as Journal of Clinical Oncology, Diabetes and Journal of the American Society of Nephrology.
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.