Cáp J
Impact in
-
- Thyroid Cancer Diagnosis and Treatment
- Pituitary Gland Disorders and Treatments
- Growth Hormone and Insulin-like Growth Factors
- Hormonal Regulation and Hypertension
- Nephrology top 10%
Papers in
-
- Pituitary Gland Disorders and Treatments 19
- Thyroid Cancer Diagnosis and Treatment 15
- Growth Hormone and Insulin-like Growth Factors 7
- Adrenal Hormones and Disorders 7
- Thyroid Disorders and Treatments 6
- Epidemiology 15
- Neuroendocrine Tumor Research Advances 11
- Co-authors
- Aleš Ryška (25 shared papers)J Marek (6 shared papers)Eliška Václavíková (4 shared papers)Běla Bendlová (4 shared papers)Šárka Dvořáková (4 shared papers)Petr Vlček (4 shared papers)Ján Laco (4 shared papers)Annamaria Colao (1 shared paper)
- Journals
- European Journal of Endocrinology (4 papers)Cytopathology (3 papers)Physiological Research (2 papers)Endocrine Pathology (1 paper)JAMA Internal Medicine (1 paper)
- Partner nations
- CzechiaSlovakiaNetherlands
In The Last Decade
Cáp J
85 papers receiving 824 citations
Peers
Comparison fields: 5 of 82
- Endocrinology, Diabetes and Metabolism 576
- Nephrology 40
- Genetics 53
- Oncology 119
- Surgery 185
Countries citing papers authored by Cáp J
This map shows the geographic impact of Cáp J'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 Cáp J with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cáp J more than expected).
Fields of papers citing papers by Cáp J
This network shows the impact of papers produced by Cáp J. 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 Cáp J. The network helps show where Cáp J may publish in the future.
Co-authors
The 25 scholars most cited alongside Cáp J, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 103 | |
| 2 | 2008 | 100 | |
| 3 | 2010 | 69 | |
| 4 | 2014 | 48 | |
| 5 | 2009 | 38 | |
| 6 | 2010 | 31 | |
| 7 | 2003 | 29 | |
| 8 | 2011 | 27 | |
| 9 | 2015 | 24 | |
| 10 | 2009 | 24 | |
| 11 | 2008 | 18 | |
| 12 | 2003 | 17 | |
| 13 | 2021 | 16 | |
| 14 | Diagnostic role of markers dipeptidyl peptidase IV and thyroid peroxidase in thyroid tumors. | 2003 | 16 |
| 15 | 2003 | 16 | |
| 16 | 2014 | 15 | |
| 17 | 2010 | 14 | |
| 18 | 2016 | 14 | |
| 19 | 2009 | 13 | |
| 20 | 2006 | 12 |
About Cáp J
Cáp J is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Public Health, Environmental and Occupational Health, Oncology and Pulmonary and Respiratory Medicine, having authored 91 papers that have together received 864 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (19 papers), Acute Lymphoblastic Leukemia research (15 papers), Thyroid Cancer Diagnosis and Treatment (15 papers), Neuroendocrine Tumor Research Advances (11 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Adrenal Hormones and Disorders (7 papers), Adrenal and Paraganglionic Tumors (6 papers) and Thyroid Disorders and Treatments (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (576 citations), Nephrology (40 citations), Genetics (53 citations), Oncology (119 citations) and Surgery (185 citations). Cáp J has collaborated with scholars based in Czechia, Slovakia and Netherlands. Frequent co-authors include Aleš Ryška, J Marek, Eliška Václavíková, Běla Bendlová, Šárka Dvořáková, Petr Vlček, Ján Laco, Annamaria Colao, Ignacio Bernabéu and P Birman. Their work appears in journals such as European Journal of Endocrinology, Cytopathology, Physiological Research, Endocrine Pathology and JAMA Internal Medicine.
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.