V Pacovský

1.5k citations
47 papers · 1.2k indexed · h-index 16

Impact in

Papers in

V Pacovský

44 papers receiving 1.1k citations

Peers

V Pacovský
Comparison fields: 5 of 96
  • Orthopedics and Sports Medicine 516
  • Endocrinology, Diabetes and Metabolism 363
  • Nephrology 130
  • Oncology 372
  • Pathology and Forensic Medicine 187
Replace C. Hasling with:
C. Hasling Denmark
Stephan Scharla Germany
P Broulík Czechia
Osamu Chaki Japan
Ian Reid New Zealand
A. Colwell United Kingdom
Alan Hamstra United States
M. T. Pacitti Italy
Pedro Rozas-Moreno Spain
J. Birmingham Australia
V Pacovský relative to C. Hasling Denmark C. Hasling's profile →
Citations per field
00.5×3.5×
C. Hasling · 1×
Citations per year

Countries citing papers authored by V Pacovský

Since Specialization
Citations

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

Fields of papers citing papers by V Pacovský

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20117
2 20113
3 201026
4 200911
5 19916
6 19903
7 198914
8 198934
9
Bone alkaline phosphatase isoenzyme and urinary hydroxyproline in healthy subjects, patients with osteolytic metastases, and patients with primary hyperparathyroidism.
19898
10 1987220
11 198717
12 19844
13 19848
14 198382
15 19826
16 198022
17
Ten-year experience with DDAVP in treatment of diabetes insipidus.
197810
18 197816
19 196720
20 19608

About V Pacovský

V Pacovský is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Orthopedics and Sports Medicine, Oncology and Pathology and Forensic Medicine, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (17 papers), Bone health and treatments (14 papers), Alkaline Phosphatase Research Studies (7 papers), Vitamin D Research Studies (5 papers), Pancreatitis Pathology and Treatment (5 papers), Bone health and osteoporosis research (4 papers), Bone Metabolism and Diseases (4 papers) and Hormonal and reproductive studies (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (516 citations), Endocrinology, Diabetes and Metabolism (363 citations), Nephrology (130 citations), Oncology (372 citations) and Pathology and Forensic Medicine (187 citations). V Pacovský has collaborated with scholars based in Czechia, United States and Netherlands. Frequent co-authors include J Štěpán, J Presl, David J. Baylink, J Pospíchal, P Broulík, Tomáš Havránek, Jana Musilová, J Dubovský, K Horký and Jan Bartoníček. Their work appears in journals such as Clinica Chimica Acta, Hormone and Metabolic Research, Experimental and Clinical Endocrinology & Diabetes, Bone and The Journal of Clinical Endocrinology & Metabolism.

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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2026