Daniel Giner

713 citations
10 papers · 623 · h-index 9

Impact in

    • Cellular transport and secretion
    • Lipid Membrane Structure and Behavior
    • Metabolism, Diabetes, and Cancer
    • PI3K/AKT/mTOR signaling in cancer

Papers in

    • Cellular transport and secretion 6
    • Microtubule and mitosis dynamics 1
    • Lipid Membrane Structure and Behavior 3
    • Ion channel regulation and function 2
    • RNA regulation and disease 1
    • ATP Synthase and ATPases Research 1

Daniel Giner

10 papers receiving 609 citations

Peers

Daniel Giner
Comparison fields: 5 of 70
  • Cell Biology 248
  • Molecular Biology 404
  • Cancer Research 77
  • Biophysics 32
  • Oncology 134
Replace Theresa M. Grana with:
Theresa M. Grana United States
Michitoshi Watanabe Japan
J. Bernard Sajous United States
Armand Hornia United States
Ivan A. Yudushkin Austria
Amanda G. Linkous United States
Carl Laflamme Canada
Barbara Fazi Italy
Suzette Farber-Katz United States
Emily F. Davis-Marcisak United States
Daniel Giner relative to Theresa M. Grana United States Theresa M. Grana's profile →
Citations per field
00.5×2×2.8×
Theresa M. Grana · 1×
Citations per year

Countries citing papers authored by Daniel Giner

Since Specialization
Citations

This map shows the geographic impact of Daniel Giner'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 Giner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Giner more than expected).

Fields of papers citing papers by Daniel Giner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Giner. 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 Giner. The network helps show where Daniel Giner may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Giner, 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 Giner Line = papers co-authored together Daniel Giner links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2012203
2 2004108
3 200571
4 200949
5 200742
6 201040
7 201136
8 200335
9 200634
10 20075

About Daniel Giner

Daniel Giner is a scholar working on Cell Biology, Molecular Biology, Cancer Research, Parasitology and Endocrinology, Diabetes and Metabolism, having authored 10 papers that have together received 623 indexed citations. Recurring topics across this work include Cellular transport and secretion (6 papers), Lipid Membrane Structure and Behavior (3 papers), Ion channel regulation and function (2 papers), Pancreatic function and diabetes (1 paper), RNA regulation and disease (1 paper), Breast Lesions and Carcinomas (1 paper), Microtubule and mitosis dynamics (1 paper) and ATP Synthase and ATPases Research (1 paper). The work is most often cited by research in Cell Biology (248 citations), Molecular Biology (404 citations), Cancer Research (77 citations), Biophysics (32 citations) and Oncology (134 citations). Daniel Giner has collaborated with scholars based in Spain, Italy and Mexico. Frequent co-authors include Luis Miguel Gutierrez, Salvador Viniegra, Patricia Ñeco, Laura Sánchez-Tejada, Encarna Adrover, Gloria Peiró, Enrique Lerma, Inmaculada López‐Font, RICARDO DA SILVA BORGES and Álvaro Villarroel. Their work appears in journals such as Journal of Cell Science, European Journal of Neuroscience, Neuroscience, Journal of Biological Chemistry and British Journal of Cancer.

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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