Stella Self

470 citations
46 papers · 237 · h-index 10

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

38 papers receiving 233 citations

Peers

Stella Self
Comparison fields: 5 of 65
  • Parasitology 70
  • Infectious Diseases 81
  • Virology 12
  • Public Health, Environmental and Occupational Health 49
  • Ecology, Evolution, Behavior and Systematics 23
Replace Eric Baitchman with:
Eric Baitchman United States
Judicaël Obame‐Nkoghe Gabon
Michelle Evason Canada
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Deborah Maus Germany
Barryett Enge United States
Daria Jurković Croatia
Pavel Ratmanov Russia
Hamida Khanum Bangladesh
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Citations per field
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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 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201927
2 202023
3 201916
4 202316
5 202014
6 202213
7 202213
8 202012
9 202411
10 20239
11 20228
12 20246
13 20246
14 20235
15 20225
16 20204
17 20214
18 20224
19 20234
20 20234

About Stella Self

Stella Self is a scholar working on Infectious Diseases, Parasitology, Public Health, Environmental and Occupational Health, Epidemiology and Economics and Econometrics, having authored 46 papers that have together received 237 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (9 papers), Viral Infections and Vectors (9 papers), Mosquito-borne diseases and control (9 papers), COVID-19 epidemiological studies (4 papers), Biosensors and Analytical Detection (4 papers), Data-Driven Disease Surveillance (4 papers), Economic and Environmental Valuation (3 papers) and SARS-CoV-2 detection and testing (3 papers). The work is most often cited by research in Parasitology (70 citations), Infectious Diseases (81 citations), Virology (12 citations), Public Health, Environmental and Occupational Health (49 citations) and Ecology, Evolution, Behavior and Systematics (23 citations). Stella Self has collaborated with scholars based in United States, El Salvador and Colombia. Frequent co-authors include Christopher S. McMahan, Jenna R. Gettings, Michael J. Yabsley, D. Andrew Brown, Melissa S. Nolan, Shila K. Nordone, Mufaro Kanyangarara, Deeksha Gupta, Omar Cantillo‐Barraza and Robert F. Baldwin. Their work appears in journals such as Parasites & Vectors, American Journal of Obstetrics & Gynecology MFM, PLoS ONE, Spatial Statistics and Insects.

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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