Daniel Lecina

442 citations
7 papers · 330 · h-index 6

Impact in

Papers in

    • Protein Structure and Dynamics 3
    • Receptor Mechanisms and Signaling 2
    • Signaling Pathways in Disease 1
    • Steroid Chemistry and Biochemistry 1
    • Estrogen and related hormone effects 2

Daniel Lecina

7 papers receiving 325 citations

Peers

Daniel Lecina
Comparison fields: 5 of 70
  • Biochemistry 47
  • Cell Biology 96
  • Nutrition and Dietetics 71
  • Computational Theory and Mathematics 60
  • Toxicology 11
Replace Seon Hee Seo with:
Seon Hee Seo South Korea
Saba Shahzadi Pakistan
Mitchell A. deLong United States
Chaeun Park South Korea
Heesoon Lee South Korea
Farhad Karbassi Iran
Van-Hai Hoang South Korea
Wei-Guang Seetoh Singapore
Xiliang Yang China
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Lecina

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Lecina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2016139
2 201583
3 201757
4 201519
5 201718
6 201913
7 20161

About Daniel Lecina

Daniel Lecina is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Civil and Structural Engineering and Health, Toxicology and Mutagenesis, having authored 7 papers that have together received 330 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Estrogen and related hormone effects (2 papers), Receptor Mechanisms and Signaling (2 papers), Signaling Pathways in Disease (1 paper), Effects and risks of endocrine disrupting chemicals (1 paper), Computational Drug Discovery Methods (1 paper), Steroid Chemistry and Biochemistry (1 paper) and Biochemical Analysis and Sensing Techniques (1 paper). The work is most often cited by research in Biochemistry (47 citations), Cell Biology (96 citations), Nutrition and Dietetics (71 citations), Computational Theory and Mathematics (60 citations) and Toxicology (11 citations). Daniel Lecina has collaborated with scholars based in Spain, Sweden and Australia. Frequent co-authors include Vı́ctor Guallar, Noam Adir, M. Kanteev, Ayelet Fishman, Mor Goldfeder, Christoph Grebner, Anders Hogner, K. A. P. Edman, Christian Köhler and Stefan Geschwindner. Their work appears in journals such as Scientific Reports, Biophysical Journal, Structure, Bioorganic & Medicinal Chemistry and Journal of Chemical Theory and Computation.

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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