Anelisa Jaca

2.0k citations
38 papers · 797 indexed · 1 hit paper · h-index 15
Topics
Vaccine Coverage and Hesitancy (18 papers)Influenza Virus Research Studies (9 papers)COVID-19 epidemiological studies (6 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONECochrane Database of Systematic Reviews

In The Last Decade

Anelisa Jaca

33 papers receiving 774 citations

Hit Papers

Vaccine hesitancy in the era of COVID-19: could lessons f...2021202620222024202150100150

Peers

Anelisa Jaca
Comparison fields: 5 of 113
  • Health 396
  • Epidemiology 240
  • Infectious Diseases 202
  • Sociology and Political Science 127
  • Modeling and Simulation 121
Replace Paramjit Sandhu with:
Paramjit Sandhu United States
Akhona Tshangela United States
Ok Park South Korea
Jiawei He China
Danya Arif Siddiqi Pakistan
Sheryl S. Siegmund United States
Hillary Kipruto Kenya
Mubarak Taighoon Shah Pakistan
Ana Pantović Serbia
Jasmine Mangat Nigeria
Anelisa Jaca relative to Paramjit Sandhu United States Paramjit Sandhu's profile →
Citations per field
00.5×7.9×
Paramjit Sandhu · 1×
Citations per year

Countries citing papers authored by Anelisa Jaca

Since Specialization
Citations

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

Fields of papers citing papers by Anelisa Jaca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anelisa Jaca

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 0
5 2
6 35
7 18
8
Vaccine hesitancy in the era of COVID-19: could lessons from the past help in divining the future?breakdown →
181
9 27
10 3
11 2
12 6
13 7
14 4
15 25
16 2
17 61
18 9
19 49
20 35

About Anelisa Jaca

Anelisa Jaca is a scholar working on Health, Modeling and Simulation and Health Informatics, having authored 38 papers that have together received 797 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (18 papers), Influenza Virus Research Studies (9 papers) and COVID-19 epidemiological studies (6 papers). The work is most often cited by research in Health (396 citations), Modeling and Simulation (121 citations) and Infectious Diseases (202 citations). Anelisa Jaca has collaborated with scholars based in South Africa, Republic of the Congo and United States. Frequent co-authors include Charles Shey Wiysonge, Sara Cooper, Duduzile Ndwandwe, Chinwe Juliana Iwu, Janetta Harbron, Blanche-Philomene Melanga Anya, Jill Ryan, Solange Durão, Edison Johannes Mavundza and Alison B. Wiyeh. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cochrane Database of Systematic Reviews.

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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