Jane Greenko

2.0k citations
18 papers · 700 · h-index 11

Impact in

Papers in

    • Fungal Infections and Studies 7
    • Data-Driven Disease Surveillance 4
    • Nail Diseases and Treatments 2
    • Influenza Virus Research Studies 2
    • Antifungal resistance and susceptibility 8
    • Antimicrobial Resistance in Staphylococcus 3

Jane Greenko

18 papers receiving 672 citations

Peers

Jane Greenko
Comparison fields: 5 of 103
  • Applied Microbiology and Biotechnology 51
  • Infectious Diseases 443
  • Epidemiology 459
  • Modeling and Simulation 42
  • Occupational Therapy 22
Replace Petter Elstrøm with:
Petter Elstrøm Norway
Surabhi Taori United Kingdom
Serkan Atıcı Türkiye
Rahul Batra United Kingdom
Sam Ghebrehewet United Kingdom
Emily Lutterloh United States
Lynn L. Horvath United States
P Christie United Kingdom
Sameera Aljohani Saudi Arabia
Anhua Wu China
Jane Greenko relative to Petter Elstrøm Norway Petter Elstrøm's profile →
Citations per field
00.5×4.8×
Petter Elstrøm · 1×
Citations per year

Countries citing papers authored by Jane Greenko

Since Specialization
Citations

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

Fields of papers citing papers by Jane Greenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2018205
2 2020169
3 200469
4 200558
5 202241
6 200337
7 200335
8 200421
9 202117
10 201816
11 202311
12 20189
13 20233
14 20173
15 20192
16 20182
17 20191
18 20191

About Jane Greenko

Jane Greenko is a scholar working on Epidemiology, Infectious Diseases, Applied Microbiology and Biotechnology, General Health Professions and Clinical Biochemistry, having authored 18 papers that have together received 700 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (8 papers), Fungal Infections and Studies (7 papers), Data-Driven Disease Surveillance (4 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Antibiotic Use and Resistance (3 papers), Nail Diseases and Treatments (2 papers), Bacterial Identification and Susceptibility Testing (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (51 citations), Infectious Diseases (443 citations), Epidemiology (459 citations), Modeling and Simulation (42 citations) and Occupational Therapy (22 citations). Jane Greenko has collaborated with scholars based in United States. Frequent co-authors include Emily Lutterloh, Monica Quinn, K Southwick, Sudha Chaturvedi, Farzad Mostashari, Eleanor Adams, Snigdha Vallabhaneni, Debra Blog, Rafael Fernández and Richard Heffernan. Their work appears in journals such as American Journal of Infection Control, Open Forum Infectious Diseases, Journal of Urban Health, MMWR Morbidity and Mortality Weekly Report and American Journal of Preventive Medicine.

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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