Maria Leilani Torres‐Mapa

563 citations
33 papers · 401 indexed · h-index 12

Maria Leilani Torres‐Mapa

30 papers receiving 392 citations

Peers

Maria Leilani Torres‐Mapa
Comparison fields: 5 of 75
  • Biophysics 44
  • Biomedical Engineering 261
  • Computational Mechanics 63
  • Cellular and Molecular Neuroscience 47
  • Biotechnology 21
Replace Dag Heinemann with:
Dag Heinemann Germany
Kazunori Okano Japan
David J. Stevenson United Kingdom
X. Tsampoula United Kingdom
Myeong Chan Jo United States
Kaustubh R. Rau United States
Maciej Antkowiak Belgium
Vincent Agache France
Christian H. Reccius United States
Joon Mo Yang United States
Maria Leilani Torres‐Mapa relative to Dag Heinemann Germany Dag Heinemann's profile →
Citations per field
00.5×1.5×2.3×
Dag Heinemann · 1×
Citations per year

Countries citing papers authored by Maria Leilani Torres‐Mapa

Since Specialization
Citations

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

Fields of papers citing papers by Maria Leilani Torres‐Mapa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Leilani Torres‐Mapa. 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 Maria Leilani Torres‐Mapa. The network helps show where Maria Leilani Torres‐Mapa may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Maria Leilani Torres‐Mapa, 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 Maria Leilani Torres‐Mapa Line = papers co-authored together Maria Leilani Torres‐Mapa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20246
4 20241
5 20242
6 20234
7 20237
8 202129
9 20211
10 20202
11 202013
12 20197
13 201817
14 20167
15 201624
16 201358
17 201327
18 20132
19 201043
20 20109

About Maria Leilani Torres‐Mapa

Maria Leilani Torres‐Mapa is a scholar working on Biophysics, Periodontics and Cellular and Molecular Neuroscience, having authored 33 papers that have together received 401 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (11 papers), Neuroscience and Neural Engineering (7 papers), Laser Material Processing Techniques (4 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Microfluidic and Bio-sensing Technologies (4 papers), Laser-Ablation Synthesis of Nanoparticles (3 papers), Oral microbiology and periodontitis research (3 papers) and Nonlinear Optical Materials Studies (3 papers). The work is most often cited by research in Biophysics (44 citations), Biomedical Engineering (261 citations) and Computational Mechanics (63 citations). Maria Leilani Torres‐Mapa has collaborated with scholars based in Germany, United Kingdom and Japan. Frequent co-authors include Kishan Dholakia, Frank J. Gunn‐Moore, Maciej Antkowiak, Alexander Heisterkamp, David J. Stevenson, Dag Heinemann, Mitsuhiro Terakawa, Janina Bahnemann, Anton Enders and Haoran Wang. Their work appears in journals such as Scientific Reports, Journal of Biophotonics, Biomedical Optics Express, Frontiers in Bioengineering and Biotechnology and Plasmonics.

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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