V Pacovský
Impact in
-
- Bone health and osteoporosis research
-
- Hormonal and reproductive studies
- Alkaline Phosphatase Research Studies
Papers in
- Nephrology 17
- Parathyroid Disorders and Treatments 17
- Oncology 14
- Bone health and treatments 14
- Co-authors
- J Štěpán (19 shared papers)J Presl (4 shared papers)David J. Baylink (1 shared paper)J Pospíchal (3 shared papers)P Broulík (15 shared papers)Tomáš Havránek (6 shared papers)J Dubovský (4 shared papers)Jana Musilová (1 shared paper)
- Journals
- Clinica Chimica Acta (11 papers)Hormone and Metabolic Research (3 papers)Experimental and Clinical Endocrinology & Diabetes (3 papers)Cellular and Molecular Life Sciences (2 papers)Bone (2 papers)
- Partner nations
- CzechiaUnited StatesGermany
In The Last Decade
V Pacovský
44 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 97
- Orthopedics and Sports Medicine 543
- Endocrinology, Diabetes and Metabolism 373
- Nephrology 137
- Oncology 383
- Pathology and Forensic Medicine 182
Countries citing papers authored by V Pacovský
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
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-authors
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.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 375 | |
| 2 | 1987 | 242 | |
| 3 | 1983 | 94 | |
| 4 | 1989 | 64 | |
| 5 | 1987 | 57 | |
| 6 | 1985 | 53 | |
| 7 | 1989 | 42 | |
| 8 | 2010 | 27 | |
| 9 | 1968 | 25 | |
| 10 | 1980 | 24 | |
| 11 | 1965 | 22 | |
| 12 | 1979 | 21 | |
| 13 | 1967 | 20 | |
| 14 | 1978 | 19 | |
| 15 | 1987 | 19 | |
| 16 | 1986 | 18 | |
| 17 | 2009 | 15 | |
| 18 | 1989 | 14 | |
| 19 | 1984 | 14 | |
| 20 | 1976 | 12 |
About V Pacovský
V Pacovský is a scholar working on Nephrology, Oncology, Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology, having authored 48 papers that have together received 1.3k 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), Pancreatitis Pathology and Treatment (5 papers), Vitamin D Research Studies (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 (543 citations), Endocrinology, Diabetes and Metabolism (373 citations), Nephrology (137 citations), Oncology (383 citations) and Pathology and Forensic Medicine (182 citations). V Pacovský has collaborated with scholars based in Czechia, United States and Germany. Frequent co-authors include J Štěpán, J Presl, David J. Baylink, J Pospíchal, P Broulík, Tomáš Havránek, J Dubovský, Jana Musilová, K Horký and J Lachmanová. Their work appears in journals such as Clinica Chimica Acta, Hormone and Metabolic Research, Experimental and Clinical Endocrinology & Diabetes, Cellular and Molecular Life Sciences and Bone.
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.