Eric V. Balti
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 10%
- Surgery
- Health, Toxicology and Mutagenesis top 5%
- Epidemiology
- Co-authors
- André Pascal KengneJustin B. Echouffo‐TcheuguiYandiswa Y. YakoEugène SobngwiJobert Richie NansseuJean Jacques NoubiapUlrich Flore NyagaJean Joël Bigna
- Topics
- Diabetes Management and Research (19 papers)Diabetes and associated disorders (16 papers)Pancreatic function and diabetes (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- CameroonBelgiumSouth Africa
In The Last Decade
Eric V. Balti
50 papers receiving 875 citations
Peers
Comparison fields: 5 of 112
- Endocrinology, Diabetes and Metabolism 358
- Genetics 276
- Surgery 275
- Health, Toxicology and Mutagenesis 151
- Epidemiology 131
Countries citing papers authored by Eric V. Balti
This map shows the geographic impact of Eric V. Balti'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 Eric V. Balti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric V. Balti more than expected).
Fields of papers citing papers by Eric V. Balti
This network shows the impact of papers produced by Eric V. Balti. 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 Eric V. Balti. The network helps show where Eric V. Balti may publish in the future.
Co-authorship network of co-authors of Eric V. Balti
This figure shows the co-authorship network connecting the top 25 collaborators of Eric V. Balti. A scholar is included among the top collaborators of Eric V. Balti 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 Eric V. Balti. Eric V. Balti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 33 | |
| 6 | 11 | |
| 7 | 16 | |
| 8 | 112 | |
| 9 | 7 | |
| 10 | 5 | |
| 11 | 17 | |
| 12 | 21 | |
| 13 | 15 | |
| 14 | 14 | |
| 15 | 29 | |
| 16 | 49 | |
| 17 | 17 | |
| 18 | Pre-existing insulin autoantibodies predict efficacy of otelixizumab in preserving residual beta cell function in recent-onset type 1 diabetes | 4 |
| 19 | 9 | |
| 20 | 3 |
About Eric V. Balti
Eric V. Balti is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 53 papers that have together received 885 indexed citations. Recurring topics across this work include Diabetes Management and Research (19 papers), Diabetes and associated disorders (16 papers) and Pancreatic function and diabetes (13 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (358 citations), Health, Toxicology and Mutagenesis (151 citations) and Genetics (276 citations). Eric V. Balti has collaborated with scholars based in Cameroon, Belgium and South Africa. Frequent co-authors include André Pascal Kengne, Justin B. Echouffo‐Tcheugui, Yandiswa Y. Yako, Eugène Sobngwi, Jobert Richie Nansseu, Jean Jacques Noubiap, Ulrich Flore Nyaga, Jean Joël Bigna, Frans Gorus and Jean Claude Mbanya. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.