Tomáš Vaisar

8.7k citations
128 papers · 4.8k · 1 hit paper · h-index 44

Impact in

Papers in

Tomáš Vaisar

124 papers receiving 4.8k citations

Tomáš Vaisar's Hit Papers

Neutrophil elastase selectively kills cancer cells and attenuates tumorigenesis 2021 · 238 citations
2380+1+3Years since publication50100150200

Peers

Tomáš Vaisar
Comparison fields: 5 of 128
  • Endocrinology, Diabetes and Metabolism 932
  • Spectroscopy 805
  • Immunology 882
  • Cancer Research 476
  • Clinical Biochemistry 180
Replace Kim Ekroos with:
Kim Ekroos Germany
David A. Ford United States
Jørgen Olsen Denmark
Joel D. Morrisett United States
Katariina Öörni Finland
Thomas P. Roddy United States
Michael N. Oda United States
Eugene A. Podrez United States
Louis C. Smith United States
Brian K. Law United States
Tomáš Vaisar relative to Kim Ekroos Germany Kim Ekroos's profile →
Citations per field
00.5×2.6×
Kim Ekroos · 1×
Citations per year

Countries citing papers authored by Tomáš Vaisar

Since Specialization
Citations

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

Fields of papers citing papers by Tomáš Vaisar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tomáš Vaisar, 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 Tomáš Vaisar Line = papers co-authored together Tomáš Vaisar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011241
2
Neutrophil elastase selectively kills cancer cells and attenuates tumorigenesis
Hit paper breakdown →
2021238
3 2014167
4 2015154
5 2020153
6 2015141
7 2010116
8 2012114
9 2008105
10 200889
11 202188
12 201284
13 201982
14 201982
15 199579
16 200879
17 201878
18 199576
19 201475
20 201373

About Tomáš Vaisar

Tomáš Vaisar is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Spectroscopy and Immunology, having authored 128 papers that have together received 4.8k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (30 papers), Mass Spectrometry Techniques and Applications (16 papers), Advanced Proteomics Techniques and Applications (16 papers), Cholesterol and Lipid Metabolism (13 papers), Lipoproteins and Cardiovascular Health (10 papers), Analytical Chemistry and Chromatography (10 papers), Lipid metabolism and disorders (8 papers) and Cancer, Lipids, and Metabolism (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (932 citations), Spectroscopy (805 citations), Immunology (882 citations), Cancer Research (476 citations) and Clinical Biochemistry (180 citations). Tomáš Vaisar has collaborated with scholars based in United States, Czechia and Canada. Frequent co-authors include Jay W. Heinecke, Christine L. Gatlin, František Tureček, Graziella E. Ronsein, Andrew N. Hoofnagle, Alan Chait, Ján Urban, Lev Becker, Patrick M. Hutchins and Michael N. Oda. Their work appears in journals such as Journal of Lipid Research, Journal of Mass Spectrometry, Arteriosclerosis Thrombosis and Vascular Biology, Circulation Research and Journal of clinical lipidology.

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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