K Matoušovic

1.5k citations
66 papers · 1.2k indexed · h-index 15

Impact in

  • Nephrology top 0.5%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
  • Hematology top 5%
    • Platelet Disorders and Treatments

Papers in

    • Renal Diseases and Glomerulopathies 27
    • Renal function and acid-base balance 10
    • Renal Transplantation Outcomes and Treatments 7

K Matoušovic

63 papers receiving 1.2k citations

Peers

K Matoušovic
Comparison fields: 5 of 81
  • Nephrology 764
  • Hematology 255
  • Transplantation 54
  • Immunology 317
  • Gastroenterology 76
Replace Peter Topham with:
Peter Topham United Kingdom
F. W. Ballardie United Kingdom
Sunao Maki Japan
Naofumi Imai Japan
Michele Carraro Italy
C. Bätz Germany
Μaria Stangou Greece
Morito Endo Japan
Kazuya Takasawa Japan
Sally Self United States
K Matoušovic relative to Peter Topham United Kingdom Peter Topham's profile →
Citations per field
00.5×6.3×
Peter Topham · 1×
Citations per year

Countries citing papers authored by K Matoušovic

Since Specialization
Citations

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

Fields of papers citing papers by K Matoušovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999384
2 2012103
3 200867
4 199564
5 201161
6 200652
7 198546
8 202246
9 199437
10 199733
11 198229
12 202019
13 200718
14 201118
15 200516
16 200814
17 198614
18 201813
19 200711
20 19939

About K Matoušovic

K Matoušovic is a scholar working on Nephrology, Transplantation, Clinical Biochemistry, Pathology and Forensic Medicine and Hematology, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (27 papers), Renal function and acid-base balance (10 papers), Renal Transplantation Outcomes and Treatments (7 papers), Autoimmune Bullous Skin Diseases (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Metabolism and Genetic Disorders (5 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers) and Platelet Disorders and Treatments (5 papers). The work is most often cited by research in Nephrology (764 citations), Hematology (255 citations), Transplantation (54 citations), Immunology (317 citations) and Gastroenterology (76 citations). K Matoušovic has collaborated with scholars based in Czechia, United States and Japan. Frequent co-authors include Jiří Městecký, Bruce A. Julian, Jan Novák, Milan Tomana, K Konecný, Zina Moldoveanu, P Roßmann, Thomas P. Douša, Lea Novak and Eduardo N. Chini. Their work appears in journals such as Nephrology Dialysis Transplantation, Renal Failure, Kidney & Blood Pressure Research, Journal of Clinical Investigation and The Journal of Pathology.

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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