Conny Gysemans

15.2k total citations · 5 hit papers
144 papers, 10.8k citations indexed

About

Conny Gysemans is a scholar working on Genetics, Surgery and Immunology. According to data from OpenAlex, Conny Gysemans has authored 144 papers receiving a total of 10.8k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Genetics, 66 papers in Surgery and 41 papers in Immunology. Recurrent topics in Conny Gysemans's work include Diabetes and associated disorders (64 papers), Pancreatic function and diabetes (61 papers) and Vitamin D Research Studies (36 papers). Conny Gysemans is often cited by papers focused on Diabetes and associated disorders (64 papers), Pancreatic function and diabetes (61 papers) and Vitamin D Research Studies (36 papers). Conny Gysemans collaborates with scholars based in Belgium, United States and Italy. Conny Gysemans's 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 and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Genetics.

In The Last Decade

Conny Gysemans

141 papers receiving 10.6k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Identification of discrete tumor-induced myeloid-derived suppressor cell subpopulations with distinct T cell–suppressive activity

2008 1.0k citations Kiavash Movahedi, Jan Van den Bossche et al. profile →
Vitamin D: modulator of the immune system

2010 990 citations Tatiana Takiishi, Hannelie Korf et al. profile →
Different Tumor Microenvironments Contain Functionally Distinct Subsets of Macrophages Derived from Ly6C(high) Monocytes

2010 964 citations Kiavash Movahedi, Damya Laoui et al. Cancer Research profile →
Molecular evolution of a novel hyperactive Sleeping Beauty transposase enables robust stable gene transfer in vertebrates

2009 706 citations Conny Gysemans et al. profile →
Vitamin D’s Effect on Immune Function

2020 285 citations Pieter-Jan Martens, Conny Gysemans et al. Nutrients profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Conny Gysemans Belgium	49	3.8k	3.5k	2.4k	2.3k	1.8k	144	10.8k
Giuseppe Penna Italy	49	5.5k 1.4×	2.2k 0.6×	2.5k 1.1×	1.3k 0.6×	964 0.5×	92	11.5k
Margherita T. Cantorna United States	55	2.9k 0.8×	7.0k 2.0×	1.8k 0.7×	1.5k 0.7×	645 0.4×	108	11.4k
Klaus Bendtzen Denmark	69	7.1k 1.9×	2.0k 0.6×	2.8k 1.2×	4.4k 1.9×	3.1k 1.7×	477	18.2k
Luciano Adorini Italy	80	10.8k 2.8×	4.6k 1.3×	4.8k 2.0×	2.8k 1.2×	3.0k 1.7×	338	24.8k
Jean‐Michel Dayer Switzerland	74	7.2k 1.9×	1.0k 0.3×	4.9k 2.1×	1.1k 0.5×	1.7k 0.9×	223	20.4k
Phillip Ruiz United States	54	2.4k 0.6×	679 0.2×	1.9k 0.8×	634 0.3×	3.5k 2.0×	297	11.1k
Matthias Ernst Australia	68	5.6k 1.5×	1.4k 0.4×	5.6k 2.4×	1.3k 0.6×	1.6k 0.9×	220	15.2k
Bernd Arnold Germany	59	6.6k 1.7×	673 0.2×	4.5k 1.9×	1.1k 0.5×	901 0.5×	167	15.1k
David W. H. Riches United States	56	3.3k 0.9×	816 0.2×	3.8k 1.6×	869 0.4×	1.1k 0.6×	147	12.3k
Song Guo Zheng China	65	7.1k 1.9×	908 0.3×	3.6k 1.5×	821 0.4×	910 0.5×	276	13.4k

Countries citing papers authored by Conny Gysemans

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Martens, Pieter-Jan, Yves Heremans, Gunter Leuckx, et al.. (2025). Verapamil and low-dose anti-mouse thymocyte globulin combination therapy stably reverses recent-onset type 1 diabetes in NOD mice by acting on the beta cell and immune axes. Diabetologia. 68(10). 2263–2276.

Lemaître, Pierre, Francesca Lodi, Niels Vandamme, et al.. (2025). Neutrophil-enriched gene signature correlates with teplizumab therapy resistance in different stages of type 1 diabetes. Journal of Clinical Investigation. 135(23).

Lemaître, Pierre, Chantal Mathieu, & Conny Gysemans. (2024). Protocol for murine multi-tissue deep immunophenotyping using a 40-color full-spectrum flow cytometry panel. STAR Protocols. 5(4). 103492–103492. 1 indexed citations

Eelen, Guy, Rita Derua, Mijke Buitinga, et al.. (2023). NET Proteome in Established Type 1 Diabetes Is Enriched in Metabolic Proteins. Cells. 12(9). 1319–1319. 5 indexed citations

Elvira, Bernat, Julia Bauzá‐Martinez, Hazem Ibrahim, et al.. (2022). PTPN2 Regulates the Interferon Signaling and Endoplasmic Reticulum Stress Response in Pancreatic β-Cells in Autoimmune Diabetes. Diabetes. 71(4). 653–668. 20 indexed citations

Martens, Pieter-Jan, Dana P. Cook, Lieve Verlinden, et al.. (2022). High Serum Vitamin D Concentrations, Induced via Diet, Trigger Immune and Intestinal Microbiota Alterations Leading to Type 1 Diabetes Protection in NOD Mice. Frontiers in Immunology. 13. 902678–902678. 10 indexed citations

Bugliani, Marco, Gianmarco Ferri, Mara Suleiman, et al.. (2021). Pro-Inflammatory Cytokines Induce Insulin and Glucagon Double Positive Human Islet Cells That Are Resistant to Apoptosis. Biomolecules. 11(2). 320–320. 9 indexed citations

Martens, Pieter-Jan, Conny Gysemans, Annemieke Verstuyf, & Chantal Mathieu. (2020). Vitamin D’s Effect on Immune Function. Nutrients. 12(5). 1248–1248. 285 indexed citations breakdown →

Cook, Dana P., João Paulo Monteiro Carvalho Móri da Cunha, Pieter-Jan Martens, et al.. (2020). Intestinal Delivery of Proinsulin and IL-10 via Lactococcus lactis Combined With Low-Dose Anti-CD3 Restores Tolerance Outside the Window of Acute Type 1 Diabetes Diagnosis. Frontiers in Immunology. 11. 1103–1103. 23 indexed citations

10.

Cai, Qing, Paola Bonfanti, Kim Vanuytsel, et al.. (2014). Prospectively Isolated NGN3-Expressing Progenitors From Human Embryonic Stem Cells Give Rise to Pancreatic Endocrine Cells. Stem Cells Translational Medicine. 3(4). 489–499. 24 indexed citations

11.

Ferreira, Gabriela B., Conny Gysemans, Jocelyne Demengeot, et al.. (2014). 1,25-Dihydroxyvitamin D3 Promotes Tolerogenic Dendritic Cells with Functional Migratory Properties in NOD Mice. The Journal of Immunology. 192(9). 4210–4220. 101 indexed citations

12.

Laoui, Damya, Eva Van Overmeire, Giusy Di Conza, et al.. (2013). Tumor Hypoxia Does Not Drive Differentiation of Tumor-Associated Macrophages but Rather Fine-Tunes the M2-like Macrophage Population. Cancer Research. 74(1). 24–30. 338 indexed citations

13.

Cunha, Daniel A., Mariana Igoillo‐Esteve, Esteban N. Gurzov, et al.. (2012). Death Protein 5 and p53-Upregulated Modulator of Apoptosis Mediate the Endoplasmic Reticulum Stress–Mitochondrial Dialog Triggering Lipotoxic Rodent and Human β-Cell Apoptosis. Diabetes. 61(11). 2763–2775. 111 indexed citations

14.

Declercq, Jeroen, Anujith Kumar, Conny Gysemans, et al.. (2011). Pdx1- and Ngn3-Cre-Mediated PLAG1 Expression in the Pancreas Leads to Endocrine Hormone Imbalances That Affect Glucose Metabolism. Cell Transplantation. 20(8). 1285–1297. 3 indexed citations

15.

Gurzov, Esteban N., Jenny Barthson, Ihsane Marhfour, et al.. (2011). Pancreatic β-cells activate a JunB/ATF3-dependent survival pathway during inflammation. Oncogene. 31(13). 1723–1732. 31 indexed citations

16.

Barthson, Jenny, Carla Maria Ramos Germano, Fabrice Moore, et al.. (2011). Cytokines Tumor Necrosis Factor-α and Interferon-γ Induce Pancreatic β-Cell Apoptosis through STAT1-mediated Bim Protein Activation. Journal of Biological Chemistry. 286(45). 39632–39643. 97 indexed citations

17.

Movahedi, Kiavash, Damya Laoui, Conny Gysemans, et al.. (2010). Different Tumor Microenvironments Contain Functionally Distinct Subsets of Macrophages Derived from Ly6C(high) Monocytes. Cancer Research. 70(14). 5728–5739. 964 indexed citations breakdown →

18.

Takiishi, Tatiana, Conny Gysemans, Roger Bouillon, & Chantal Mathieu. (2010). Vitamin D and Diabetes. Endocrinology and Metabolism Clinics of North America. 39(2). 419–446. 219 indexed citations

19.

D’Hertog, Wannes, Lutgart Overbergh, Liliane Schoofs, et al.. (2006). Proteomic analysis of cytokine-induced dysfunction and death in insulin-producing INS-1E cells. Diabetologia. 49. 255–255. 1 indexed citations

20.

Mathieu, Chantal, Conny Gysemans, Annapaula Giulietti, & Roger Bouillon. (2005). Vitamin D and diabetes. Diabetologia. 48(7). 1247–1257. 449 indexed citations

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.

Explore authors with similar magnitude of impact