Jan Šimák

8.3k citations
56 papers · 1.8k · h-index 23

Impact in

Papers in

    • Prion Diseases and Protein Misfolding 11
    • Extracellular vesicles in disease 7
    • RNA Interference and Gene Delivery 3
    • Platelet Disorders and Treatments 10
    • Blood Coagulation and Thrombosis Mechanisms 4

Jan Šimák

54 papers receiving 1.8k citations

Peers

Jan Šimák
Comparison fields: 5 of 113
  • Hematology 268
  • Biomaterials 200
  • Molecular Biology 874
  • Immunology 218
  • Biochemistry 63
Replace Wei Shi with:
Wei Shi China
Yumiko Sakurai United States
Weiqi Lu China
Johan Riesenfeld Sweden
Jianhua Wang China
R.P. Franke Germany
Elizabeth D. Hood United States
David M. Weinreich United States
Nicholas Pugh United Kingdom
Karel Holada Czechia
Jan Šimák relative to Wei Shi China Wei Shi's profile →
Citations per field
00.5×4.5×
Wei Shi · 1×
Citations per year

Countries citing papers authored by Jan Šimák

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005250
2 2011188
3 2004107
4 201695
5 200988
6 201483
7 200276
8 200873
9 201462
10 201160
11 200253
12 201850
13 201449
14 200149
15 201049
16 200849
17 201647
18 201746
19 201838
20 200129

About Jan Šimák

Jan Šimák is a scholar working on Molecular Biology, Hematology, Pulmonary and Respiratory Medicine, Immunology and Genetics, having authored 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (11 papers), Platelet Disorders and Treatments (10 papers), Extracellular vesicles in disease (7 papers), Complement system in diseases (4 papers), Graphene and Nanomaterials Applications (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Neonatal Respiratory Health Research (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Hematology (268 citations), Biomaterials (200 citations), Molecular Biology (874 citations), Immunology (218 citations) and Biochemistry (63 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, Jennifer B. Hall, Scott E. McNeil and Anil K. Patri. Their work appears in journals such as Blood, Transfusion, Transfusion Medicine Reviews, European Journal of Pediatrics 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.

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