Yolanda Lie

3.4k citations
57 papers · 2.0k indexed · 1 hit paper · h-index 22
Topics
HIV Research and Treatment (39 papers)HIV/AIDS drug development and treatment (34 papers)HIV/AIDS Research and Interventions (22 papers)

In The Last Decade

Yolanda Lie

56 papers receiving 2.0k citations

Hit Papers

A Novel Phenotypic Drug Susceptibility Assay for Human Im...20002026200820172000100200300400500

Peers

Yolanda Lie
Comparison fields: 5 of 95
  • Virology 1.4k
  • Infectious Diseases 1.4k
  • Molecular Biology 565
  • Epidemiology 290
  • Immunology 175
Replace Geethanjali Dornadula with:
Geethanjali Dornadula United States
Joost Louwagie United States
P Schipper Netherlands
Nafees Ahmad United States
Vinayaka R. Prasad United States
George M. Shaw United States
Åsa Björndal Sweden
Mark Sharkey United States
Valérie Maréchal France
Jenny L. Anderson Australia
Yolanda Lie relative to Geethanjali Dornadula United States Geethanjali Dornadula's profile →
Citations per field
00.5×2.9×
Geethanjali Dornadula · 1×
Citations per year

Countries citing papers authored by Yolanda Lie

Since Specialization
Citations

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

Fields of papers citing papers by Yolanda Lie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yolanda Lie

This figure shows the co-authorship network connecting the top 25 collaborators of Yolanda Lie. A scholar is included among the top collaborators of Yolanda Lie 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 Yolanda Lie. Yolanda Lie 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 2
2 16
3 2
4 18
5
Quantitative p95HER2 and HER2 correlations with outcome in the FinHer trial
1
6 0
7 32
8 18
9 16
10 18
11 5
12 4
13 42
14 33
15 45
16 6
17 5
18 34
19 217
20 9

About Yolanda Lie

Yolanda Lie is a scholar working on Virology, Infectious Diseases and Hepatology, having authored 57 papers that have together received 2.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (39 papers), HIV/AIDS drug development and treatment (34 papers) and HIV/AIDS Research and Interventions (22 papers). The work is most often cited by research in Virology (1.4k citations), Infectious Diseases (1.4k citations) and Hepatology (94 citations). Yolanda Lie has collaborated with scholars based in United States, Canada and Finland. Frequent co-authors include Christos J. Petropoulos, Wei Huang, Neil Parkin, Terri Wrin, Genine Winslow, Huan Tian, Jeannette M. Whitcomb, Kay Limoli, Daniel J. Capon and Eoin Coakley. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

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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