Danielle Bloch

14 papers receiving 383 citations

Peers

Danielle Bloch
Comparison fields: 5 of 62
  • Infectious Diseases 178
  • Public Health, Environmental and Occupational Health 257
  • Modeling and Simulation 30
  • Microbiology 30
  • Epidemiology 129
Replace Diane S. Brady with:
Diane S. Brady United States
Cécile Herrmann Guadeloupe
Heruza Einsfeld Zogbi Brazil
Scott J. Brunt United States
Camila Bôtto-Menezes Brazil
Clarisse da Silveira Bressan Brazil
Sandhya Clark United States
Mary Kyohere Uganda
Emily J. Potts United States
Nuria Sánchez Clemente United Kingdom
Danielle Bloch relative to Diane S. Brady United States Diane S. Brady's profile →
Citations per field
00.5×2×3×4.2×
Diane S. Brady · 1×
Citations per year

Countries citing papers authored by Danielle Bloch

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Bloch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle Bloch. 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 Danielle Bloch. The network helps show where Danielle Bloch may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2017225
2 201736
3 201926
4 202023
5 201917
6 201616
7 202314
8 201810
9 20188
10 20197
11 20187
12
The Cost And Burden Of Chikungunya In The Americas
20166
13 20223
14 20231

About Danielle Bloch

Danielle Bloch is a scholar working on Microbiology, Public Health, Environmental and Occupational Health, Modeling and Simulation, Infectious Diseases and Pediatrics, Perinatology and Child Health, having authored 14 papers that have together received 399 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (5 papers), Bacterial Infections and Vaccines (3 papers), COVID-19 epidemiological studies (2 papers), Viral Infections and Vectors (2 papers), Infection Control and Ventilation (1 paper), Fungal Infections and Studies (1 paper), Pediatric Urology and Nephrology Studies (1 paper) and Insect symbiosis and bacterial influences (1 paper). The work is most often cited by research in Infectious Diseases (178 citations), Public Health, Environmental and Occupational Health (257 citations), Modeling and Simulation (30 citations), Microbiology (30 citations) and Epidemiology (129 citations). Danielle Bloch has collaborated with scholars based in United States, Taiwan and France. Frequent co-authors include Yi‐Ju Tseng, Karen L. Olson, Don Weiss, Kenneth D. Mandl, Brian L. Weiss, Serap Aksoy, Richard Echodu, Nicole M. Roth, Elizabeth A. Opiyo and Aurélien Vigneron. Their work appears in journals such as PLoS neglected tropical diseases, MMWR Morbidity and Mortality Weekly Report, Emerging infectious diseases, Open Forum Infectious Diseases and JAMA Network Open.

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.

Explore authors with similar magnitude of impact