Mary Luz Arcila

1.2k citations
14 papers · 832 indexed · h-index 13
Topics
Advanced biosensing and bioanalysis techniques (5 papers)MicroRNA in disease regulation (4 papers)Bacteriophages and microbial interactions (2 papers)

In The Last Decade

Mary Luz Arcila

14 papers receiving 825 citations

Peers

Mary Luz Arcila
Comparison fields: 5 of 93
  • Molecular Biology 625
  • Cancer Research 199
  • Plant Science 137
  • Genetics 100
  • Biomedical Engineering 72
Replace Juergen Brosius with:
Juergen Brosius Germany
Tremayne Mushayahama United States
Konstantin Levay United States
Robert P. Kruger United States
Mark Lommel Germany
Soma Mondal India
Jaeseung Yoon South Korea
Virgilio Ponferrada United States
Jean-Denis Beaudoin Canada
Mary Luz Arcila relative to Juergen Brosius Germany Juergen Brosius's profile →
Citations per field
00.5×4.2×
Juergen Brosius · 1×
Citations per year

Countries citing papers authored by Mary Luz Arcila

Since Specialization
Citations

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

Fields of papers citing papers by Mary Luz Arcila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Luz Arcila. 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 Mary Luz Arcila. The network helps show where Mary Luz Arcila may publish in the future.

Co-authorship network of co-authors of Mary Luz Arcila

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Luz Arcila. A scholar is included among the top collaborators of Mary Luz Arcila 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 Mary Luz Arcila. Mary Luz Arcila is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 109
2 59
3 90
4 23
5 12
6 35
7 34
8 12
9 41
10 13
11 45
12 71
13 228
14 60

About Mary Luz Arcila

Mary Luz Arcila is a scholar working on Cancer Research, Developmental Neuroscience and Molecular Biology, having authored 14 papers that have together received 832 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (5 papers), MicroRNA in disease regulation (4 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Cancer Research (199 citations), Molecular Biology (625 citations) and Developmental Neuroscience (35 citations). Mary Luz Arcila has collaborated with scholars based in United States, Australia and Colombia. Frequent co-authors include Kenneth S. Kosik, Hongjun Zhou, Eun Joo Lee, Sourav Banerjee, B. S. Manjunath, Aruna Jammalamadaka, Michael Eisenstein, H. Tom Soh, Qiang Gong and Nupur Maheshwari. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Angewandte Chemie International Edition.

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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