Jan Malík

102 papers receiving 1.4k citations

Peers

Jan Malík
Comparison fields: 5 of 96
  • Emergency Medical Services 584
  • Nephrology 220
  • Cardiology and Cardiovascular Medicine 347
  • Pulmonary and Respiratory Medicine 431
  • Surgery 371
Replace Yoshio Iwashima with:
Yoshio Iwashima Japan
Manel Vera Spain
J. Plüm Germany
R. T. Krediet Netherlands
Robert Heyka United States
Helen J. Jefferies United Kingdom
S Sulková Czechia
Young Rim Song South Korea
Giuseppe Seminara Italy
Takahiro Shinzato Japan
Jan Malík relative to Yoshio Iwashima Japan Yoshio Iwashima's profile →
Citations per field
00.5×4.8×
Yoshio Iwashima · 1×
Citations per year

Countries citing papers authored by Jan Malík

Since Specialization
Citations

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

Fields of papers citing papers by Jan Malík

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001134
2 2008118
3 200582
4
Intima-media thickness of the common carotid artery is the significant predictor of angiographically proven coronary artery disease.
200347
5 201542
6 200941
7 202241
8 200538
9 201437
10 201633
11 201831
12 201230
13 200329
14 200329
15 200428
16 202026
17 201725
18 200925
19
Many clinically silent access stenoses can be identified by ultrasonography.
200324
20 200522

About Jan Malík

Jan Malík is a scholar working on Emergency Medical Services, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Surgery and Nephrology, having authored 110 papers that have together received 1.5k indexed citations. Recurring topics across this work include Central Venous Catheters and Hemodialysis (43 papers), Vascular Procedures and Complications (22 papers), Dialysis and Renal Disease Management (13 papers), Cardiovascular Health and Disease Prevention (9 papers), Blood Pressure and Hypertension Studies (8 papers), Heart Rate Variability and Autonomic Control (8 papers), Lipoproteins and Cardiovascular Health (7 papers) and Cardiac Arrest and Resuscitation (6 papers). The work is most often cited by research in Emergency Medical Services (584 citations), Nephrology (220 citations), Cardiology and Cardiovascular Medicine (347 citations), Pulmonary and Respiratory Medicine (431 citations) and Surgery (371 citations). Jan Malík has collaborated with scholars based in Czechia, United States and Italy. Frequent co-authors include Vladimír Tuka, Marcela Slavíková, Eva Chytilova, Anna Valeriánová, Jaroslav Kudlička, Vojtěch Melenovský, Dan Wichterle, Vladimı́r Tesař, Jaroslava Svobodová and Jan Šimek. Their work appears in journals such as Physiological Research, American Heart Journal, Frontiers in Physiology, The American Journal of Cardiology and The Journal of Vascular Access.

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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