Christina M. Renquist

7 papers receiving 348 citations

Peers

Christina M. Renquist
Comparison fields: 5 of 40
  • Public Health, Environmental and Occupational Health 352
  • Infectious Diseases 250
  • Epidemiology 110
  • Modeling and Simulation 87
  • Pediatrics, Perinatology and Child Health 69
Replace Antonio R.P. de Almeida with:
Antonio R.P. de Almeida Brazil
Miguel Valencia‐Prado Puerto Rico
Marshall Cone United States
Clarisse da Silveira Bressan Brazil
Katherine Standish United States
Lívia Carla Vinhal Frutuoso Brazil
Magali Carbonnier France
Jacob Konikoff United States
Mélanie Gaillet French Guiana
Jadher Pércio Brazil
Christina M. Renquist relative to Antonio R.P. de Almeida Brazil Antonio R.P. de Almeida's profile →
Citations per field
00.5×2.8×
Antonio R.P. de Almeida · 1×
Citations per year

Countries citing papers authored by Christina M. Renquist

Since Specialization
Citations

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

Fields of papers citing papers by Christina M. Renquist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christina M. Renquist. 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 Christina M. Renquist. The network helps show where Christina M. Renquist may publish in the future.

Co-authorship network of co-authors of Christina M. Renquist

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 2
2 50
3 6
4 114
5 91
6 98
7 14

About Christina M. Renquist

Christina M. Renquist is a scholar working on Obstetrics and Gynecology, Public Health, Environmental and Occupational Health and Modeling and Simulation, having authored 7 papers that have together received 375 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (7 papers), Global Maternal and Child Health (4 papers) and COVID-19 Impact on Reproduction (3 papers). The work is most often cited by research in Modeling and Simulation (87 citations), Infectious Diseases (250 citations) and Public Health, Environmental and Occupational Health (352 citations). Christina M. Renquist has collaborated with scholars based in United States and Colombia. Frequent co-authors include J. Erin Staples, Margaret A. Honein, Sonja A. Rasmussen, Marc Fischer, Ann M. Powers, Jorge L. Muñoz, Cynthia A. Moore, Robert S. Lanciotti, Michael J. Cannon and Janet D. Cragan. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report and Open Forum Infectious Diseases.

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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