Daniela Corda

9.5k citations
157 papers · 6.4k · h-index 46

Impact in

  • Physiology top 0.2%
    • Calcium signaling and nucleotide metabolism
  • Cell Biology top 0.2%
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Protein Kinase Regulation and GTPase Signaling 32
    • Ion channel regulation and function 17
    • Lipid Membrane Structure and Behavior 13
    • Cellular transport and secretion 46

Daniela Corda

156 papers receiving 6.3k citations

Peers

Daniela Corda
Comparison fields: 5 of 160
  • Physiology 712
  • Cell Biology 2.2k
  • Molecular Biology 3.9k
  • Biochemistry 325
  • Oncology 860
Replace Yasemin Sancak with:
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Robbie Loewith Switzerland
H. Llewelyn Roderick United Kingdom
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Hiroshi Koga Japan
Jochen H.M. Prehn Ireland
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Citations per field
00.5×1.5×2.4×
Yasemin Sancak · 1×
Citations per year

Countries citing papers authored by Daniela Corda

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Corda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999459
2 1999278
3 2003244
4 1998180
5 2008156
6 1985148
7 2005146
8 2005138
9 2019138
10 1985123
11 2011109
12 2007102
13 2006102
14 2004101
15 200994
16 201787
17 201187
18 200785
19 200582
20 200980

About Daniela Corda

Daniela Corda is a scholar working on Molecular Biology, Cell Biology, Physiology, Oncology and Immunology, having authored 157 papers that have together received 6.4k indexed citations. Recurring topics across this work include Cellular transport and secretion (46 papers), Protein Kinase Regulation and GTPase Signaling (32 papers), Calcium signaling and nucleotide metabolism (26 papers), PARP inhibition in cancer therapy (18 papers), Ion channel regulation and function (17 papers), Toxin Mechanisms and Immunotoxins (17 papers), Thyroid Disorders and Treatments (15 papers) and Lipid Membrane Structure and Behavior (13 papers). The work is most often cited by research in Physiology (712 citations), Cell Biology (2.2k citations), Molecular Biology (3.9k citations), Biochemistry (325 citations) and Oncology (860 citations). Daniela Corda has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Alberto Luini, Antonino Colanzi, Carmen Valente, Maria Di Girolamo, Cristiano Iurisci, Maria Antonietta De Matteis, Gabriele Turacchio, Stefania Mariggiò, Stefania Spanò and Leonard D. Kohn. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Advances in experimental medicine and biology, The Journal of Clinical Endocrinology & Metabolism and European Journal of Biochemistry.

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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