Daniel Floryk

673 citations
17 papers · 598 · h-index 14

Impact in

    • Metabolism and Genetic Disorders
    • Mitochondrial Function and Pathology
    • ATP Synthase and ATPases Research
    • Biochemical and Molecular Research
    • Glycosylation and Glycoproteins Research

Papers in

Daniel Floryk

17 papers receiving 587 citations

Peers

Daniel Floryk
Comparison fields: 5 of 78
  • Clinical Biochemistry 51
  • Molecular Biology 402
  • Physiology 26
  • Physiology 94
  • Cancer Research 44
Replace Marion Bergmann with:
Marion Bergmann Germany
Pablo Martínez-Acedo Spain
Walid Mahfouf France
Jun‐Ho Cho United States
Emily N. Chin United States
Hisao Tajima Japan
Anastasia A. Khutornenko Russia
Dmitri Dvorzhinski United States
Aristeidis E. Boukouris Canada
Jimena Cannata Argentina
Daniel Floryk relative to Marion Bergmann Germany Marion Bergmann's profile →
Citations per field
00.5×1.5×2×
Marion Bergmann · 1×
Citations per year

Countries citing papers authored by Daniel Floryk

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Floryk Line = papers co-authored together Daniel Floryk links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 200298
2 199995
3 200443
4 200542
5 199940
6 199940
7 200838
8 200035
9 199832
10 201127
11 200824
12 200523
13 201121
14 199913
15 200810
16 201110
17 20007

About Daniel Floryk

Daniel Floryk is a scholar working on Molecular Biology, Clinical Biochemistry, Physiology, Epidemiology and Physiology, having authored 17 papers that have together received 598 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), Adenosine and Purinergic Signaling (2 papers), Immune cells in cancer (2 papers), ATP Synthase and ATPases Research (2 papers) and Cancer, Stress, Anesthesia, and Immune Response (2 papers). The work is most often cited by research in Clinical Biochemistry (51 citations), Molecular Biology (402 citations), Physiology (26 citations), Physiology (94 citations) and Cancer Research (44 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, J Wilhelm, Hana Rauchová, Giorgio Lenaz, Tomáš Mráček and Carol S. Giometti. Their work appears in journals such as Biochemical Journal, Cancer Letters, Cancer Research, Prostate Cancer and Prostatic Diseases and Gene Therapy.

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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