Daniel Lucena‐Agell

874 citations
28 papers · 412 indexed · h-index 11
Topics
Cancer therapeutics and mechanisms (9 papers)Synthetic Organic Chemistry Methods (7 papers)Microbial Natural Products and Biosynthesis (6 papers)

In The Last Decade

Daniel Lucena‐Agell

27 papers receiving 411 citations

Peers

Daniel Lucena‐Agell
Comparison fields: 5 of 63
  • Molecular Biology 254
  • Organic Chemistry 141
  • Cell Biology 108
  • Pharmacology 91
  • Plant Science 51
Replace Javier Rodríguez‐Salarichs with:
Javier Rodríguez‐Salarichs Spain
Yasushi Takemoto Japan
Takumi Chinen Japan
Hélène Adihou Germany
Birgitte W. Lund United States
Andrew M. Beekman United Kingdom
Kodai Hara Japan
Diane Allegro France
Ho‐Sang Moon South Korea
Xiaolei Gao China
Daniel Lucena‐Agell relative to Javier Rodríguez‐Salarichs Spain Javier Rodríguez‐Salarichs's profile →
Citations per field
00.5×
Javier Rodríguez‐Salarichs · 1×
Citations per year

Countries citing papers authored by Daniel Lucena‐Agell

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Lucena‐Agell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Lucena‐Agell

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Lucena‐Agell. A scholar is included among the top collaborators of Daniel Lucena‐Agell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Lucena‐Agell. Daniel Lucena‐Agell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 2
3 5
4 3
5 3
6 3
7 9
8 5
9 0
10 9
11 11
12 9
13 6
14 9
15 41
16 6
17 45
18 10
19 14
20 54

About Daniel Lucena‐Agell

Daniel Lucena‐Agell is a scholar working on Organic Chemistry, Cell Biology and Pharmacology, having authored 28 papers that have together received 412 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (9 papers), Synthetic Organic Chemistry Methods (7 papers) and Microbial Natural Products and Biosynthesis (6 papers). The work is most often cited by research in Cell Biology (108 citations), Pharmacology (91 citations) and Organic Chemistry (141 citations). Daniel Lucena‐Agell has collaborated with scholars based in Spain, Switzerland and United Kingdom. Frequent co-authors include J. Fernando Dı́az, Herbert N. Arst, Miguel Á. Peñalva, A.E. Prota, María A. Oliva, Karl‐Heinz Altmann, Michel O. Steinmetz, Isabel Barasoaı́n, Antonio Galindo and April L. Risinger. Their work appears in journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.

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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