Ene Ustav

1.5k citations
24 papers · 1.2k · h-index 16

Impact in

    • Cervical Cancer and HPV Research
    • Hepatitis B Virus Studies
    • Herpesvirus Infections and Treatments
  • Virology top 10%

Papers in

    • Cervical Cancer and HPV Research 14
    • Hepatitis B Virus Studies 8
    • Molecular Biology Techniques and Applications 7

Ene Ustav

24 papers receiving 1.1k citations

Peers

Ene Ustav
Comparison fields: 5 of 53
  • Epidemiology 759
  • Virology 71
  • Genetics 359
  • Oncology 342
  • Immunology 197
Replace Seiichiro Mori with:
Seiichiro Mori Japan
Joanna L. Parish United Kingdom
Caroline Demeret France
Gertrud Steger Germany
Jo Beth Harry United States
Günter Krämmer Germany
Cyril M. Sanders United Kingdom
Clare Davy Tanzania
Karla K. Balogh United States
Mira S. Chaurushiya United States
Ene Ustav relative to Seiichiro Mori Japan Seiichiro Mori's profile →
Citations per field
00.5×1.7×
Seiichiro Mori · 1×
Citations per year

Countries citing papers authored by Ene Ustav

Since Specialization
Citations

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

Fields of papers citing papers by Ene Ustav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991216
2 2009153
3 1996122
4 2012113
5 1993109
6 200786
7 200984
8 201344
9 201137
10 201326
11 201425
12 201723
13 201521
14 200221
15 200520
16 201519
17 202112
18 200110
19 20179
20 20197

About Ene Ustav

Ene Ustav is a scholar working on Epidemiology, Molecular Biology, Genetics, Oncology and Plant Science, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (14 papers), Hepatitis B Virus Studies (8 papers), Virus-based gene therapy research (7 papers), Molecular Biology Techniques and Applications (7 papers), Viral-associated cancers and disorders (3 papers), Plant Virus Research Studies (3 papers), Animal Genetics and Reproduction (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Epidemiology (759 citations), Virology (71 citations), Genetics (359 citations), Oncology (342 citations) and Immunology (197 citations). Ene Ustav has collaborated with scholars based in Estonia, United States and Sweden. Frequent co-authors include Mart Ustav, Arne Stenlund, Meelis Kadaja, Paul Szymanski, Triin Laos, Marko Piirsoo, Andres Männik, Toomas Silla, Märt Toots and Aare Abroi. Their work appears in journals such as Journal of Virology, The EMBO Journal, PLoS ONE, PLoS Pathogens and Frontiers in Microbiology.

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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