Marlena S. Bannick

50.9k total citations
5 papers, 102 citations indexed

About

Marlena S. Bannick is a scholar working on Health, Toxicology and Mutagenesis, Modeling and Simulation and Statistics and Probability. According to data from OpenAlex, Marlena S. Bannick has authored 5 papers receiving a total of 102 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Health, Toxicology and Mutagenesis, 2 papers in Modeling and Simulation and 2 papers in Statistics and Probability. Recurrent topics in Marlena S. Bannick's work include Statistical Methods and Inference (2 papers), COVID-19 epidemiological studies (2 papers) and Statistical Methods in Clinical Trials (2 papers). Marlena S. Bannick is often cited by papers focused on Statistical Methods and Inference (2 papers), COVID-19 epidemiological studies (2 papers) and Statistical Methods in Clinical Trials (2 papers). Marlena S. Bannick collaborates with scholars based in United States, China and Netherlands. Marlena S. Bannick's co-authors include Abraham D. Flaxman, Madeline McGaughey, Lınhong Wang, Christopher J L Murray, Theo Vos, Juanita A. Haagsma, Pengpeng Ye, Xin Gao, Yuliang Er and Caitlin Hawley and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Epidemiology and Biometrika.

In The Last Decade

Marlena S. Bannick

5 papers receiving 102 citations

Peers

Marlena S. Bannick
Comparison fields: 5 of 63
  • Public Health, Environmental and Occupational Health 34
  • Emergency Medicine 28
  • Health 19
  • Safety, Risk, Reliability and Quality 17
  • Epidemiology 15
Replace Caitlin Hawley with:
Caitlin Hawley United States
Donna Pickett United States
Qazi Sadeq-ur Rahman Bangladesh
Elisha Joshi United Kingdom
Vikas Desai India
Nebyou Seyoum Ethiopia
Ricardo Alessandro Teixeira Gonsaga Brazil
Kjersti Stormark Rabanal Norway
Srujan Lam Sharma India
Luciana Vieira United States
Caitlin Hawley United States View profile →
Citations per field, relative to Marlena S. Bannick
Marlena S. Bannick · 1×
Citations per year, relative to Marlena S. Bannick
Marlena S. Bannick · 1×

Countries citing papers authored by Marlena S. Bannick

Since Specialization
Citations

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

Fields of papers citing papers by Marlena S. Bannick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marlena S. Bannick. 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 Marlena S. Bannick. The network helps show where Marlena S. Bannick may publish in the future.

Co-authorship network of co-authors of Marlena S. Bannick

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

All Works

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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2026