I. Vermes

14.6k citations
169 papers · 11.7k · 2 hit papers · h-index 49

Impact in

Papers in

I. Vermes

164 papers receiving 11.4k citations

I. Vermes's Hit Papers

Flow cytometry of apoptotic cell death 2000 · 659 citations
6590+10+20Years since publication10002.0k3.0k4.0k

Peers

I. Vermes
Comparison fields: 5 of 172
  • Behavioral Neuroscience 658
  • Biomaterials 1.2k
  • Immunology 1.5k
  • Reproductive Medicine 528
  • Endocrinology, Diabetes and Metabolism 852
Replace Xiaoyan Zhang with:
Xiaoyan Zhang China
Hans Jörnvall Sweden
Kunio Matsumoto Japan
Peter M. Elias United States
Thomas A. Luger Germany
Seung Up Kim South Korea
Mati Fridkin Israel
Thomas P. Davis United States
Thomas C. Spelsberg United States
Gabriel Lopez‐Berestein United States
I. Vermes relative to Xiaoyan Zhang China Xiaoyan Zhang's profile →
Citations per field
00.5×4.4×
Xiaoyan Zhang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside I. Vermes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with I. Vermes Line = papers co-authored together I. Vermes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A novel assay for apoptosis Flow cytometric detection of phosphatidylserine expression on early apoptotic cells using fluorescein labelled Annexin V
Hit paper breakdown →
19954702
2
Flow cytometry of apoptotic cell death
Hit paper breakdown →
2000659
3 2005457
4 2012409
5 2012238
6 2001182
7 1995174
8 2012156
9 1995150
10 2000132
11 2009118
12 2001117
13 1994117
14 1985105
15 2001103
16 198098
17 199896
18 200193
19 201592
20 200491

About I. Vermes

I. Vermes is a scholar working on Molecular Biology, Biomedical Engineering, Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 169 papers that have together received 11.7k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (26 papers), Electrospun Nanofibers in Biomedical Applications (17 papers), Cell death mechanisms and regulation (14 papers), Hypothalamic control of reproductive hormones (12 papers), Microfluidic and Bio-sensing Technologies (12 papers), Tissue Engineering and Regenerative Medicine (12 papers), Neuropeptides and Animal Physiology (12 papers) and 3D Printing in Biomedical Research (11 papers). The work is most often cited by research in Behavioral Neuroscience (658 citations), Biomaterials (1.2k citations), Immunology (1.5k citations), Reproductive Medicine (528 citations) and Endocrinology, Diabetes and Metabolism (852 citations). I. Vermes has collaborated with scholars based in Netherlands, Hungary and United States. Frequent 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. Their work appears in journals such as APOPTOSIS, Neuroendocrinology, Lab on a Chip, Clinical Chemistry and Fertility and Sterility.

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.

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