Daniel Floryk
Impact in
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
- Physiology top 10%
- Adipose Tissue and Metabolism
- Adenosine and Purinergic Signaling
Papers in
-
- Mitochondrial Function and Pathology 7
- Biochemical and Molecular Research 3
- Signaling Pathways in Disease 2
- ATP Synthase and ATPases Research 2
-
- Metabolism and Genetic Disorders 4
- Co-authors
- J Houštěk (5 shared papers)Eliezer Huberman (3 shared papers)Timothy C. Thompson (6 shared papers)Z Drahota (4 shared papers)Subir Roy Chowdhury (2 shared papers)Giorgio Lenaz (1 shared paper)Carol S. Giometti (1 shared paper)Tomáš Mráček (1 shared paper)
- Journals
- Cancer Letters (2 papers)Biochemical Journal (2 papers)Cancer Research (2 papers)Molecular and Cellular Endocrinology (1 paper)Bioscience Reports (1 paper)
- Partner nations
- United StatesCzechiaSpain
In The Last Decade
Daniel Floryk
17 papers receiving 560 citations
Peers
Comparison fields: 5 of 79
- Clinical Biochemistry 50
- Physiology 28
- Molecular Biology 406
- Physiology 103
- Cancer Research 46
Countries citing papers authored by Daniel Floryk
This map shows the geographic impact of Daniel Floryk'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 Floryk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Floryk more than expected).
Fields of papers citing papers by Daniel Floryk
This network shows the impact of papers produced by Daniel Floryk. 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 Floryk. The network helps show where Daniel Floryk may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Floryk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 91 | |
| 2 | 2002 | 90 | |
| 3 | 2004 | 42 | |
| 4 | 2005 | 41 | |
| 5 | 1999 | 39 | |
| 6 | 2008 | 38 | |
| 7 | 1999 | 37 | |
| 8 | 2000 | 34 | |
| 9 | 1998 | 30 | |
| 10 | 2011 | 26 | |
| 11 | 2005 | 22 | |
| 12 | 2008 | 22 | |
| 13 | 2011 | 21 | |
| 14 | 1999 | 12 | |
| 15 | 2011 | 9 | |
| 16 | 2008 | 8 | |
| 17 | 2000 | 6 |
About Daniel Floryk
Daniel Floryk is a scholar working on Molecular Biology, Clinical Biochemistry, Physiology, Oncology and Epidemiology, having authored 17 papers that have together received 568 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (7 papers), Metabolism and Genetic Disorders (4 papers), Adipose Tissue and Metabolism (3 papers), Biochemical and Molecular Research (3 papers), Signaling Pathways in Disease (2 papers), ATP Synthase and ATPases Research (2 papers), Adenosine and Purinergic Signaling (2 papers) and Cancer, Stress, Anesthesia, and Immune Response (2 papers). The work is most often cited by research in Clinical Biochemistry (50 citations), Physiology (28 citations), Molecular Biology (406 citations), Physiology (103 citations) and Cancer Research (46 citations). Daniel Floryk has collaborated with scholars based in United States, Czechia and Spain. Frequent co-authors include J Houštěk, Eliezer Huberman, Timothy C. Thompson, Z Drahota, Subir Roy Chowdhury, Giorgio Lenaz, Carol S. Giometti, Tomáš Mráček, Sandra L. Tollaksen and Hana Rauchová. Their work appears in journals such as Cancer Letters, Biochemical Journal, Cancer Research, Molecular and Cellular Endocrinology and Bioscience Reports.
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.