Sylvia Daim

21 papers receiving 705 citations

Peers

Sylvia Daim
Comparison fields: 5 of 82
  • Public Health, Environmental and Occupational Health 285
  • Parasitology 63
  • Immunology 189
  • Infectious Diseases 141
  • Epidemiology 159
Replace Edilberto Postól with:
Edilberto Postól Brazil
John A. Tine United States
Leila Mendonça-Lima Brazil
Stephen L. Hoffman United States
Chahnaz Kébaïer United States
Amy R. Noe United States
Elham Gholami Iran
Akram Abouie Mehrizi Iran
Javier Carrión Spain
Lynn Lambert United States
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Citations per field
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Edilberto Postól · 1×
Citations per year

Countries citing papers authored by Sylvia Daim

Since Specialization
Citations

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

Fields of papers citing papers by Sylvia Daim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201099
2 201887
3 201986
4 201067
5 200863
6 200950
7 201849
8 201947
9 201143
10 201731
11 201022
12 201417
13 202213
14 202211
15 20197
16
Developing effective research proposal 2nd ed.
20067
17 20233
18 20183
19 20182
20 20222

About Sylvia Daim

Sylvia Daim is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Immunology, Molecular Biology and Infectious Diseases, having authored 21 papers that have together received 711 indexed citations. Recurring topics across this work include Malaria Research and Control (5 papers), Inflammasome and immune disorders (3 papers), Essential Oils and Antimicrobial Activity (3 papers), IL-33, ST2, and ILC Pathways (2 papers), Burkholderia infections and melioidosis (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (285 citations), Parasitology (63 citations), Immunology (189 citations), Infectious Diseases (141 citations) and Epidemiology (159 citations). Sylvia Daim has collaborated with scholars based in Malaysia, Japan and United Kingdom. Frequent co-authors include Ikuo Kawamura, Hideki Hara, K. Tsuchiya, Masao Mitsuyama, Takamasa Nomura, Sita R. Dewamitta, Tock H. Chua, Yanna Shen, Chris Drakeley and Shunsuke Sakai. Their work appears in journals such as Infection and Immunity, PLoS neglected tropical diseases, Frontiers in Cellular and Infection Microbiology, International Journal of Environmental Research and Public Health and Tropical Medicine and Infectious Disease.

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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