Daniel Housa
- Epidemiology top 10%
- Molecular Biology
- Oncology
- Physiology top 10%
- Rheumatology top 10%
- Co-authors
- Martin Haluzı́kZdeňka VernerováJ HousováKarel PavelkáLadislav ŠenoltD HaluzíkováTomáš JirásekKateřina Anderlová
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (8 papers)Adipose Tissue and Metabolism (4 papers)Congenital limb and hand anomalies (2 papers)
- Journals
- Proceedings of the National Academy of SciencesEndocrinologyAnnals of the Rheumatic Diseases
- Partner nations
- CzechiaUnited StatesAustralia
In The Last Decade
Daniel Housa
16 papers receiving 943 citations
Peers
Comparison fields: 5 of 80
- Epidemiology 452
- Molecular Biology 265
- Oncology 218
- Physiology 213
- Rheumatology 146
Countries citing papers authored by Daniel Housa
This map shows the geographic impact of Daniel Housa'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 Daniel Housa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Housa more than expected).
Fields of papers citing papers by Daniel Housa
This network shows the impact of papers produced by Daniel Housa. 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 Daniel Housa. The network helps show where Daniel Housa may publish in the future.
Co-authorship network of co-authors of Daniel Housa
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Housa. A scholar is included among the top collaborators of Daniel Housa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Housa. Daniel Housa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 28 | |
| 3 | 29 | |
| 4 | 63 | |
| 5 | 37 | |
| 6 | 73 | |
| 7 | Serum resistin levels in benign prostate hyperplasia and non-metastatic prostate cancer: possible role in cancer progression. | 13 |
| 8 | 57 | |
| 9 | 6 | |
| 10 | 128 | |
| 11 | 9 | |
| 12 | 226 | |
| 13 | 214 | |
| 14 | [Post-transplantation lymphoproliferation in patients with intensive immunosuppression]. | 1 |
| 15 | 55 | |
| 16 | 25 | |
| 17 | Genetic analysis of the rat hypodactylous mutation. | 0 |
| 18 | 5 |
About Daniel Housa
Daniel Housa is a scholar working on Developmental Biology, Aging and Endocrine and Autonomic Systems, having authored 18 papers that have together received 969 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (8 papers), Adipose Tissue and Metabolism (4 papers) and Congenital limb and hand anomalies (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (122 citations), Epidemiology (452 citations) and Rheumatology (146 citations). Daniel Housa has collaborated with scholars based in Czechia, United States and Australia. Frequent co-authors include Martin Haluzı́k, Zdeňka Vernerová, J Housová, Karel Pavelká, Ladislav Šenolt, D Haluzíková, Tomáš Jirásek, Kateřina Anderlová, Ulf Müller‐Ladner and David Veigl. Their work appears in journals such as Proceedings of the National Academy of Sciences, Endocrinology and Annals of the Rheumatic Diseases.
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.