Micaela E. Martinez

2.0k citations
21 papers · 1.0k indexed · h-index 15

Micaela E. Martinez

20 papers receiving 1.0k citations

Peers

Micaela E. Martinez
Comparison fields: 5 of 124
  • Modeling and Simulation 207
  • Obstetrics and Gynecology 95
  • Health 101
  • Infectious Diseases 193
  • Endocrine and Autonomic Systems 60
Replace Elizabeth M. White with:
Elizabeth M. White United States
Ian Painter United States
Trevon Fuller United States
David M. Brazel United States
Kacey C. Ernst United States
Mauricio Canals Chile
David Carslake United Kingdom
Matthew Wallace United States
Maiza Campos Ponce Netherlands
Penny Masuoka United States
Micaela E. Martinez relative to Elizabeth M. White United States Elizabeth M. White's profile →
Citations per field
00.5×9.5×
Elizabeth M. White · 1×
Citations per year

Countries citing papers authored by Micaela E. Martinez

Since Specialization
Citations

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

Fields of papers citing papers by Micaela E. Martinez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Micaela E. Martinez. 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 Micaela E. Martinez. The network helps show where Micaela E. Martinez may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202233
2 20225
3 20220
4 202121
5 202113
6 202110
7 202144
8 202087
9 2020164
10 202011
11 201924
12 2018161
13 201613
14 201665
15 201552
16 201589
17 201516
18 201452
19 201334
20 201090

About Micaela E. Martinez

Micaela E. Martinez is a scholar working on Modeling and Simulation, Endocrine and Autonomic Systems, Virology, Transportation and Health, Toxicology and Mutagenesis, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Circadian rhythm and melatonin (3 papers), Viral Infections and Vectors (3 papers), Zoonotic diseases and public health (3 papers), Air Quality and Health Impacts (2 papers), Marine animal studies overview (2 papers), Influenza Virus Research Studies (2 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Modeling and Simulation (207 citations), Obstetrics and Gynecology (95 citations), Health (101 citations), Infectious Diseases (193 citations) and Endocrine and Autonomic Systems (60 citations). Micaela E. Martinez has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Barbara Helm, Kevin Bakker, Aaron A. King, Pejman Rohani, Benjamin Rader, Tyler J. Stevenson, Laura F. White, Karla Therese L. Sy, Brendan P. Kelly and Sara E. Casey. Their work appears in journals such as Proceedings of the Royal Society B Biological Sciences, PLoS Biology, American Journal of Epidemiology, Proceedings of the National Academy of Sciences and The Science of The Total Environment.

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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