Jan Šimák
Impact in
- Hematology top 5%
- Platelet Disorders and Treatments
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
Papers in ⓘ
-
- Prion Diseases and Protein Misfolding 12
- Extracellular vesicles in disease 7
- Hematology 13
- Platelet Disorders and Treatments 11
- Blood Coagulation and Thrombosis Mechanisms 4
- Co-authors
- Monique P. Gelderman (7 shared papers)Karel Holada (25 shared papers)Jaroslav G. Vostal (13 shared papers)Jana Šemberová (4 shared papers)Silvia H. De Paoli Lacerda (3 shared papers)Silvia H. De Paoli (9 shared papers)Jan Janota (9 shared papers)Anil K. Patri (1 shared paper)
- Journals
- Blood (6 papers)Transfusion (5 papers)Transfusion Medicine Reviews (3 papers)Toxicon (2 papers)Cellular and Molecular Life Sciences (2 papers)
- Partner nations
- United StatesCzechiaBangladesh
In The Last Decade
Jan Šimák
53 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 117
- Hematology 337
- Biomaterials 205
- Biochemistry 80
- Molecular Biology 911
- Immunology 250
Countries citing papers authored by Jan Šimák
This map shows the geographic impact of Jan Šimák'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 Jan Šimák with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Šimák more than expected).
Fields of papers citing papers by Jan Šimák
This network shows the impact of papers produced by Jan Šimák. 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 Jan Šimák. The network helps show where Jan Šimák may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Šimák, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 250 | |
| 2 | 2011 | 185 | |
| 3 | 2004 | 107 | |
| 4 | 2016 | 92 | |
| 5 | 2009 | 87 | |
| 6 | 2014 | 82 | |
| 7 | 2002 | 76 | |
| 8 | 2008 | 73 | |
| 9 | 2014 | 62 | |
| 10 | 2011 | 58 | |
| 11 | 2002 | 53 | |
| 12 | 2018 | 50 | |
| 13 | 2014 | 49 | |
| 14 | 2010 | 49 | |
| 15 | 2001 | 49 | |
| 16 | 2008 | 49 | |
| 17 | 2016 | 45 | |
| 18 | 2017 | 44 | |
| 19 | 2018 | 37 | |
| 20 | 2001 | 29 |
About Jan Šimák
Jan Šimák is a scholar working on Molecular Biology, Hematology, Pulmonary and Respiratory Medicine, Immunology and Genetics, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (12 papers), Platelet Disorders and Treatments (11 papers), Extracellular vesicles in disease (7 papers), Neonatal Respiratory Health Research (6 papers), Graphene and Nanomaterials Applications (5 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Complement system in diseases (4 papers) and Neuroscience of respiration and sleep (4 papers). The work is most often cited by research in Hematology (337 citations), Biomaterials (205 citations), Biochemistry (80 citations), Molecular Biology (911 citations) and Immunology (250 citations). Jan Šimák has collaborated with scholars based in United States, Czechia and Bangladesh. Frequent co-authors include Monique P. Gelderman, Karel Holada, Jaroslav G. Vostal, Jana Šemberová, Silvia H. De Paoli Lacerda, Silvia H. De Paoli, Jan Janota, Anil K. Patri, Marina A. Dobrovolskaia and Jennifer B. Hall. Their work appears in journals such as Blood, Transfusion, Transfusion Medicine Reviews, Toxicon and Cellular and Molecular Life Sciences.
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.