Eva A. Operskalski

3.1k citations
42 papers · 2.1k indexed · 1 hit paper · h-index 24
Topics
HIV Research and Treatment (19 papers)Hepatitis C virus research (13 papers)HIV/AIDS Research and Interventions (9 papers)

In The Last Decade

Eva A. Operskalski

41 papers receiving 2.0k citations

Hit Papers

The seroepidemiology of human herpesvirus 8 (Kaposi's sar...19962026200620161996100200300400500

Peers

Eva A. Operskalski
Comparison fields: 5 of 102
  • Epidemiology 983
  • Infectious Diseases 816
  • Oncology 660
  • Virology 454
  • Hepatology 431
Replace J. J. Goedert with:
J. J. Goedert United States
Rajesh Kannangai India
C A Ludlam United Kingdom
Alessandro Sinicco Italy
Jean‐Jacques Lefrère France
Anders Karlsson Sweden
Orna Mor Israel
Joël Gozlan France
Nicola S. Brink United Kingdom
P.L. Yap United Kingdom
Eva A. Operskalski relative to J. J. Goedert United States J. J. Goedert's profile →
Citations per field
00.5×10×
J. J. Goedert · 1×
Citations per year

Countries citing papers authored by Eva A. Operskalski

Since Specialization
Citations

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

Fields of papers citing papers by Eva A. Operskalski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva A. Operskalski. 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 Eva A. Operskalski. The network helps show where Eva A. Operskalski may publish in the future.

Co-authorship network of co-authors of Eva A. Operskalski

This figure shows the co-authorship network connecting the top 25 collaborators of Eva A. Operskalski. A scholar is included among the top collaborators of Eva A. Operskalski 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 Eva A. Operskalski. Eva A. Operskalski 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 8
2 27
3 32
4 164
5 59
6 22
7 31
8 38
9 55
10 30
11 24
12 68
13 65
14
The seroepidemiology of human herpesvirus 8 (Kaposi's sarcoma–associated herpesvirus): Distribution of infection in KS risk groups and evidence for sexual transmissionbreakdown →
583
15 10
16 27
17 20
18 15
19 76
20 31

About Eva A. Operskalski

Eva A. Operskalski is a scholar working on Virology, Hepatology and Infectious Diseases, having authored 42 papers that have together received 2.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (19 papers), Hepatitis C virus research (13 papers) and HIV/AIDS Research and Interventions (9 papers). The work is most often cited by research in Virology (454 citations), Hepatology (431 citations) and Infectious Diseases (816 citations). Eva A. Operskalski has collaborated with scholars based in United States, Brazil and Poland. Frequent co-authors include Michael P. Busch, Andrea Kovács, Dean H. Kedes, Robert Kohn, Jennifer Flood, Don Ganem, James W. Mosley, Barbara R. Visscher, J. W. Mosley and Elizabeth Donegan. Their work appears in journals such as The Lancet, Nature Medicine and PLoS ONE.

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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