Conny Gysemans
- Immunology top 0.5%
- Pathology and Forensic Medicine top 0.1%
- Molecular Biology top 5%
- Genetics top 0.5%
- Surgery top 2%
- Co-authors
- Chantal MathieuHannelie KorfTatiana TakiishiRoger BouillonFemke BaekeJo A. Van GinderachterPatrick De BaetselierKiavash Movahedi
- Topics
- Diabetes and associated disorders (64 papers)Pancreatic function and diabetes (61 papers)Vitamin D Research Studies (36 papers)
- Partner nations
- BelgiumUnited StatesItaly
In The Last Decade
Conny Gysemans
141 papers receiving 10.6k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Immunology 3.8k
- Pathology and Forensic Medicine 3.5k
- Molecular Biology 2.4k
- Genetics 2.3k
- Surgery 1.8k
Countries citing papers authored by Conny Gysemans
This map shows the geographic impact of Conny Gysemans'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 Conny Gysemans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conny Gysemans more than expected).
Fields of papers citing papers by Conny Gysemans
This network shows the impact of papers produced by Conny Gysemans. 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 Conny Gysemans. The network helps show where Conny Gysemans may publish in the future.
Co-authorship network of co-authors of Conny Gysemans
This figure shows the co-authorship network connecting the top 25 collaborators of Conny Gysemans. A scholar is included among the top collaborators of Conny Gysemans 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 Conny Gysemans. Conny Gysemans 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 | 5 | |
| 4 | 10 | |
| 5 | 20 | |
| 6 | 9 | |
| 7 | Vitamin D’s Effect on Immune Functionbreakdown → | 285 |
| 8 | 23 | |
| 9 | 24 | |
| 10 | 338 | |
| 11 | 111 | |
| 12 | 97 | |
| 13 | 31 | |
| 14 | Different Tumor Microenvironments Contain Functionally Distinct Subsets of Macrophages Derived from Ly6C(high) Monocytesbreakdown → | 964 |
| 15 | 219 | |
| 16 | Proteomic analysis of cytokine-induced dysfunction and death in insulin-producing INS-1E cells | 1 |
| 17 | Natural Killer cells are required for rapidly induced xeno-antibody production by Marginal Zone B cells | 0 |
| 18 | 449 | |
| 19 | Interleukin-1 receptor antagonist inhibits primary non-function and prolongs graft survival time of xenogeneic islets transplanted in spontaneously diabetic autoimmune NOD mice | 4 |
| 20 | Effect of sex hormones on apoptosis in NOD mice: Link to autoimmunity | 1 |
About Conny Gysemans
Conny Gysemans is a scholar working on Genetics, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 144 papers that have together received 10.8k indexed citations. Recurring topics across this work include Diabetes and associated disorders (64 papers), Pancreatic function and diabetes (61 papers) and Vitamin D Research Studies (36 papers). The work is most often cited by research in Pathology and Forensic Medicine (3.5k citations), Immunology (3.8k citations) and Nutrition and Dietetics (1.4k citations). Conny Gysemans has collaborated with scholars based in Belgium, United States and Italy. Frequent co-authors include Chantal Mathieu, Hannelie Korf, Tatiana Takiishi, Roger Bouillon, Femke Baeke, Jo A. Van Ginderachter, Patrick De Baetselier, Kiavash Movahedi, Décio L. Eizirik and Jan Van den Bossche. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Genetics.
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.