I. Vermes

14.6k total citations · 2 hit papers
169 papers, 11.8k citations indexed

About

I. Vermes is a scholar working on Molecular Biology, Biomedical Engineering and Behavioral Neuroscience. According to data from OpenAlex, I. Vermes has authored 169 papers receiving a total of 11.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 31 papers in Biomedical Engineering and 27 papers in Behavioral Neuroscience. Recurrent topics in I. Vermes's work include Stress Responses and Cortisol (27 papers), Electrospun Nanofibers in Biomedical Applications (17 papers) and Cell death mechanisms and regulation (15 papers). I. Vermes is often cited by papers focused on Stress Responses and Cortisol (27 papers), Electrospun Nanofibers in Biomedical Applications (17 papers) and Cell death mechanisms and regulation (15 papers). I. Vermes collaborates with scholars based in Netherlands, Hungary and United States. I. Vermes's co-authors include C. Haanen, Chris Reutelingsperger, A.A. Poot, Albertus Beishuizen, Albert van den Berg, Floor Wolbers, Fred J.H. Tilders, Jan Feijén, L. G. Thijs and L. Buttafoco and has published in prestigious journals such as Nature, Journal of Clinical Oncology and Nano Letters.

In The Last Decade

I. Vermes

166 papers receiving 11.5k citations

Hit Papers

A novel assay for apoptos... 1995 2026 2005 2015 1995 2000 1000 2.0k 3.0k 4.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
I. Vermes 4.0k 2.1k 1.7k 1.3k 1.2k 169 11.8k
Judith A. Clements 4.4k 1.1× 1.4k 0.7× 817 0.5× 2.4k 1.8× 346 0.3× 329 17.5k
Lily Wu 5.6k 1.4× 986 0.5× 2.1k 1.2× 2.2k 1.7× 355 0.3× 222 13.0k
Thomas A. Luger 4.4k 1.1× 769 0.4× 8.3k 4.8× 2.0k 1.5× 702 0.6× 513 27.5k
Helga E. de Vries 6.2k 1.6× 1.1k 0.5× 3.0k 1.8× 1.8k 1.3× 830 0.7× 257 16.8k
Hui Wang 4.2k 1.1× 2.5k 1.2× 839 0.5× 1.5k 1.1× 821 0.7× 490 12.1k
Carol A. Colton 3.2k 0.8× 721 0.3× 1.6k 1.0× 350 0.3× 335 0.3× 180 11.8k
Ignacio A. Romero 4.5k 1.1× 1.4k 0.7× 1.4k 0.8× 2.6k 1.9× 1.1k 0.9× 161 13.1k
Peter M. Elias 10.6k 2.6× 440 0.2× 3.1k 1.8× 848 0.6× 395 0.3× 488 37.6k
Filip K. Świrski 6.7k 1.7× 1.5k 0.7× 9.2k 5.4× 2.1k 1.6× 748 0.6× 144 22.0k
Thomas P. Davis 5.6k 1.4× 657 0.3× 561 0.3× 2.7k 2.0× 716 0.6× 347 15.9k

Countries citing papers authored by I. Vermes

Since Specialization
Citations

This map shows the geographic impact of I. Vermes'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 I. Vermes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. Vermes more than expected).

Fields of papers citing papers by I. Vermes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. Vermes. 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 I. Vermes. The network helps show where I. Vermes may publish in the future.

Co-authorship network of co-authors of I. Vermes

This figure shows the co-authorship network connecting the top 25 collaborators of I. Vermes. A scholar is included among the top collaborators of I. Vermes 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 I. Vermes. I. Vermes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Grijpma, Dirk W., et al.. (2012). Vascular tissue engineering. University of Twente Research Information. 37(1). 44–46. 2 indexed citations
2.
Yan, Song, Marloes M. J. Kamphuis, L.M.Th. Sterk, et al.. (2010). Dynamic Culturing of Smooth Muscle Cells in Tubular Poly(Trimethylene Carbonate) Scaffolds for Vascular Tissue Engineering. Tissue Engineering Part A. 17(3-4). 381–387. 53 indexed citations
3.
Meer, Andries D. van der, et al.. (2010). Flow cytometric analysis of the uptake of low‐density lipoprotein by endothelial cells in microfluidic channels. Cytometry Part A. 77A(10). 971–975. 9 indexed citations
4.
Wolbers, Floor, et al.. (2010). Cancer prevalence in osteoporotic women with low serum vitamin D levels. Menopause The Journal of The North American Menopause Society. 18(3). 319–322. 7 indexed citations
5.
Meer, Freek J. van der, Dirk J. Faber, Maurice C. G. Aalders, et al.. (2009). Apoptosis- and necrosis-induced changes in light attenuation measured by optical coherence tomography. Lasers in Medical Science. 25(2). 259–267. 58 indexed citations
6.
Jansen, Gunther, H. Franke, Floor Wolbers, Mariël Brinkhuis, & I. Vermes. (2008). Effects of fulvestrant alone or combined with different steroids in human breast cancer cellsin vitro. Climacteric. 11(4). 315–321. 5 indexed citations
7.
Wolbers, Floor, et al.. (2006). Miniaturisation in clinical diagnostics. University of Twente Research Information. 30. 22–25. 1 indexed citations
8.
Engbers‐Buijtenhuijs, P., L. Buttafoco, A.A. Poot, et al.. (2005). Analysis of the Balance between Proliferation and Apoptosis of Cultured Vascular Smooth Muscle Cells for Tissue- Engineering Applications. Tissue Engineering. 11(11-12). 1631–1639. 4 indexed citations
9.
Wolbers, Floor, Helene Andersson, Ralph S. DaCosta, et al.. (2004). The potential of autofluorescence for the detection of single living cells for label‐free cell sorting in microfluidic systems. Electrophoresis. 25(21-22). 3740–3745. 38 indexed citations
10.
Buttafoco, L., P.J. Dijkstra, A.A. Poot, I. Vermes, & Jan Feijén. (2002). Collagenous porous structures for the development of an artificial small diameter blood vessel. Journal of Controlled Release. 87. 295–298. 2 indexed citations
11.
Beishuizen, Albertus, L. G. Thijs, & I. Vermes. (2002). Decreased levels of dehydroepiandrosterone sulphate in severe critical illness: a sign of exhausted adrenal reserve?. Critical Care. 6(5). 434–8. 74 indexed citations
13.
Vermes, I., C. Haanen, & Chris Reutelingsperger. (2000). Flow cytometry of apoptotic cell death. Journal of Immunological Methods. 243(1-2). 167–190. 652 indexed citations breakdown →
15.
Faber, Catharina G., et al.. (1997). Enhanced Red Blood Cell Aggregation Unrelated to Fibrinogen: A Possible Stroke Mechanism in Young Patients. Cerebrovascular Diseases. 7(2). 70–76. 2 indexed citations
16.
Vermes, I., et al.. (1995). A novel assay for apoptosis Flow cytometric detection of phosphatidylserine expression on early apoptotic cells using fluorescein labelled Annexin V. Journal of Immunological Methods. 184(1). 39–51. 4675 indexed citations breakdown →
17.
Berkenbosch, F., I. Vermes, Ruud M. Buijs, & Fred J.H. Tilders. (1983). Vasopressin Is not Involved in the Catecholamine-Induced Release of ACTH, α-MSH and β-Endorphin from the Rat Pituitary Gland. Neuroendocrinology. 37(2). 117–121. 6 indexed citations
18.
Berkenbosch, F., I. Vermes, Rob Binnekade, & Fred J.H. Tilders. (1981). Beta-adrenergic stimulation induces an increase of the plasma levels of immunoreactive α-MSH, β-endorphin, ACTH and of corticosterone. Life Sciences. 29(22). 2249–2256. 73 indexed citations
19.
Vermes, I. & Gyula Telegdy. (1977). Effect of stress on activity of the serotoninergic system in limbic brain structures and its correlation with pituitary-adrenal function in the rat.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 49(1). 37–44. 7 indexed citations
20.
Sadowski, B, Gunther Hartmann, & I. Vermes. (1972). Effect of self-stimulation on adrenocortical activity in the rat.. PubMed. 42(2). 157–62.

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

Rankless by CCL
2026