Macaya Douoguih

7.7k citations
42 papers · 707 indexed · 1 hit paper · h-index 15

Macaya Douoguih

40 papers receiving 690 citations

Hit Papers

Efficacy and Safety of an Ad26.RSV.preF–RSV preF Protein ...902023202620242025255075

Peers

Macaya Douoguih
Comparison fields: 5 of 65
  • Infectious Diseases 514
  • Modeling and Simulation 45
  • Health 74
  • Emergency Medical Services 54
  • Epidemiology 251
Replace Jayanthi Wolf with:
Jayanthi Wolf United States
Lilian W. Waiboci Kenya
Benoît Callendret Netherlands
Freja Kirsebom United Kingdom
John Treanor United States
Т. А. Семененко Russia
Mugen Ujiie Japan
Pedro M. Folegatti United Kingdom
Monika Redlberger‐Fritz Austria
Udo Goetsch Germany
Macaya Douoguih relative to Jayanthi Wolf United States Jayanthi Wolf's profile →
Citations per field
00.5×3.9×
Jayanthi Wolf · 1×
Citations per year

Countries citing papers authored by Macaya Douoguih

Since Specialization
Citations

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

Fields of papers citing papers by Macaya Douoguih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20242
4 20240
5 20242
6 20230
7 202213
8 202219
9 202214
10 202213
11 20222
12 20218
13 202040
14 201959
15 201625
16 20169
17 201528
18 201419
19 201133
20 20084

About Macaya Douoguih

Macaya Douoguih is a scholar working on Infectious Diseases, Modeling and Simulation and Health, having authored 42 papers that have together received 707 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (18 papers), Hepatitis B Virus Studies (11 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Tuberculosis Research and Epidemiology (7 papers), Vaccine Coverage and Hesitancy (7 papers), Immunodeficiency and Autoimmune Disorders (6 papers), Virus-based gene therapy research (5 papers) and Viral Infections and Vectors (5 papers). The work is most often cited by research in Infectious Diseases (514 citations), Modeling and Simulation (45 citations) and Health (74 citations). Macaya Douoguih has collaborated with scholars based in Netherlands, Belgium and United States. Frequent co-authors include Kerstin Lühn, Viki Bockstal, Georgi Shukarev, Benoît Callendret, Cynthia Robinson, Jerald Sadoff, Dickson Anumendem, Stephan Bart, Maria Grazia Pau and Deborah Watson‐Jones. Their work appears in journals such as New England Journal of Medicine, The Journal of Immunology and PLoS ONE.

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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