Eva Operskalski

14 total papers · 615 total citations
12 papers, 450 citations indexed

About

Eva Operskalski is a scholar working on Epidemiology, Infectious Diseases and Hepatology. According to data from OpenAlex, Eva Operskalski has authored 12 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 7 papers in Infectious Diseases and 4 papers in Hepatology. Recurrent topics in Eva Operskalski's work include HIV/AIDS Research and Interventions (6 papers), HIV, Drug Use, Sexual Risk (4 papers) and Hepatitis C virus research (4 papers). Eva Operskalski is often cited by papers focused on HIV/AIDS Research and Interventions (6 papers), HIV, Drug Use, Sexual Risk (4 papers) and Hepatitis C virus research (4 papers). Eva Operskalski collaborates with scholars based in United States, Poland and France. Eva Operskalski's co-authors include Wendy Garland, Mallory D. Witt, Sheba George, Joseph Cadden, Héctor F. Myers, Wilbert Jordan, Frank H. Galván, Amy Rock Wohl, Félix Carpio and Martin L. Lee and has published in prestigious journals such as Gastroenterology, The Journal of Infectious Diseases and International Journal of Environmental Research and Public Health.

In The Last Decade

Eva Operskalski

12 papers receiving 434 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Eva Operskalski 305 265 156 89 86 12 450
Lina Nerlander 355 1.2× 416 1.6× 87 0.6× 68 0.8× 38 0.4× 18 540
Carmen A. Marrero 234 0.8× 328 1.2× 151 1.0× 53 0.6× 27 0.3× 17 408
Alison O. Jordan 242 0.8× 299 1.1× 161 1.0× 52 0.6× 26 0.3× 24 424
Bavithra Nathan 284 0.9× 272 1.0× 84 0.5× 21 0.2× 52 0.6× 16 516
Zoë Dodd 184 0.6× 308 1.2× 100 0.6× 150 1.7× 27 0.3× 17 457
Thomas M. Liberti 308 1.0× 274 1.0× 132 0.8× 23 0.3× 39 0.5× 16 429
Pamela W. Klein 272 0.9× 188 0.7× 82 0.5× 20 0.2× 82 1.0× 24 475
Vivian Levy 208 0.7× 261 1.0× 112 0.7× 62 0.7× 15 0.2× 24 439
Dan Clutterbuck 237 0.8× 211 0.8× 88 0.6× 62 0.7× 20 0.2× 31 418
Jessica Mao 257 0.8× 257 1.0× 98 0.6× 33 0.4× 45 0.5× 22 527

Countries citing papers authored by Eva Operskalski

Since Specialization
Citations

This map shows the geographic impact of Eva 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 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 Operskalski more than expected).

Fields of papers citing papers by Eva Operskalski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Operskalski

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Operskalski. A scholar is included among the top collaborators of Eva 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 Operskalski. Eva Operskalski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026