Stella Self

424 citations
39 papers · 208 · h-index 9

Impact in

  • Parasitology top 10%
    • Vector-borne infectious diseases
    • Viral Infections and Vectors
    • Parasitic Diseases Research and Treatment
    • SARS-CoV-2 detection and testing

Papers in

Stella Self

33 papers receiving 204 citations

Peers

Stella Self
Comparison fields: 5 of 73
  • Parasitology 66
  • Infectious Diseases 94
  • Virology 12
  • Public Health, Environmental and Occupational Health 60
  • Health 12
Replace Rosanda Mulić with:
Rosanda Mulić Croatia
Carlos Ríos United States
Yves Grégoire Canada
Violeta Briciu Romania
N. Pshenichnaya Russia
Darko Ropac Croatia
Mariana Casal United States
Damaris Matoke-Muhia Kenya
Barbara Doudier France
Hugo Rázuri Peru
Stella Self relative to Rosanda Mulić Croatia Rosanda Mulić's profile →
Citations per field
00.5×8.8×
Rosanda Mulić · 1×
Citations per year

Countries citing papers authored by Stella Self

Since Specialization
Citations

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

Fields of papers citing papers by Stella Self

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201925
2 202021
3 201916
4 202014
5 202213
6 202313
7 202213
8 202012
9 202411
10 20238
11 20226
12 20225
13 20235
14 20245
15 20234
16 20214
17 20233
18 20233
19 20223
20 20203

About Stella Self

Stella Self is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Parasitology, Epidemiology and Economics and Econometrics, having authored 39 papers that have together received 208 indexed citations. Recurring topics across this work include Viral Infections and Vectors (10 papers), Mosquito-borne diseases and control (9 papers), Vector-borne infectious diseases (8 papers), Food Security and Health in Diverse Populations (4 papers), Biosensors and Analytical Detection (4 papers), COVID-19 epidemiological studies (4 papers), SARS-CoV-2 detection and testing (3 papers) and Economic and Environmental Valuation (3 papers). The work is most often cited by research in Parasitology (66 citations), Infectious Diseases (94 citations), Virology (12 citations), Public Health, Environmental and Occupational Health (60 citations) and Health (12 citations). Stella Self has collaborated with scholars based in United States, El Salvador and Colombia. Frequent co-authors include Christopher S. McMahan, Michael J. Yabsley, Jenna R. Gettings, D. Andrew Brown, Melissa S. Nolan, Shila K. Nordone, Deeksha Gupta, Mufaro Kanyangarara, Kyle Barrett and Caroline Rudisill. Their work appears in journals such as Parasites & Vectors, PLoS ONE, Insects, Tropical Medicine and Infectious Disease 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.

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