Juan A. Vega

1.3k citations
29 papers · 966 indexed · h-index 16
Topics
Chemical Synthesis and Analysis (11 papers)Neuroscience and Neuropharmacology Research (5 papers)Receptor Mechanisms and Signaling (4 papers)

In The Last Decade

Juan A. Vega

29 papers receiving 950 citations

Peers

Juan A. Vega
Comparison fields: 5 of 76
  • Organic Chemistry 749
  • Molecular Biology 284
  • Cellular and Molecular Neuroscience 98
  • Inorganic Chemistry 79
  • Computational Theory and Mathematics 71
Replace Hun Yeong Koh with:
Hun Yeong Koh South Korea
Wen‐Lian Wu United States
Enrique Raviña Spain
Brian A. McKittrick United States
Suman Rakhit United States
Siem J. Veenstra Switzerland
Daniel J. Buzard United States
Gyula Simig Hungary
Christian F. Masaguer Spain
Piyasena Hewawasam United States
Juan A. Vega relative to Hun Yeong Koh South Korea Hun Yeong Koh's profile →
Citations per field
00.5×3.9×
Hun Yeong Koh · 1×
Citations per year

Countries citing papers authored by Juan A. Vega

Since Specialization
Citations

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

Fields of papers citing papers by Juan A. Vega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan A. Vega. 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 Juan A. Vega. The network helps show where Juan A. Vega may publish in the future.

Co-authorship network of co-authors of Juan A. Vega

This figure shows the co-authorship network connecting the top 25 collaborators of Juan A. Vega. A scholar is included among the top collaborators of Juan A. Vega 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 Juan A. Vega. Juan A. Vega 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 1
2 2
3 14
4 26
5 8
6 27
7 1
8 19
9 7
10 36
11 58
12
Effect of fire intensity on seed dispersal and early regeneration in a Pinus pinaster forest.
14
13 236
14 29
15 88
16 47
17 48
18 32
19 5
20 13

About Juan A. Vega

Juan A. Vega is a scholar working on Organic Chemistry, Toxicology and Algebra and Number Theory, having authored 29 papers that have together received 966 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (11 papers), Neuroscience and Neuropharmacology Research (5 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Organic Chemistry (749 citations), Pharmaceutical Science (41 citations) and Toxicology (20 citations). Juan A. Vega has collaborated with scholars based in United States, Belgium and Spain. Frequent co-authors include Phil S. Baran, Yong‐Li Zhong, K. C. Nicolaou, Andrés A. Trabanco, Remo Kranich, Kevin W. Hunt, Sofía Barluenga, K. C. Nicolaou, Juan J. Vaquero and Julio Álvarez‐Buílla. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Journal of Medicinal Chemistry.

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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