Ruth Wang

9.7k citations
26 papers · 1.7k · h-index 21

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • RNA Research and Splicing 4
    • RNA and protein synthesis mechanisms 3
    • Biochemical and Molecular Research 3
    • HIV/AIDS drug development and treatment 5

Ruth Wang

26 papers receiving 1.7k citations

Peers

Ruth Wang
Comparison fields: 5 of 111
  • Virology 305
  • Infectious Diseases 447
  • Cancer Research 202
  • Genetics 113
  • Hepatology 80
Replace Shigemi Kinoshita with:
Shigemi Kinoshita Japan
Stephen C. Schmechel United States
Mark G. Anderson United States
Francesca Incardona Italy
Nicolas Rapin Denmark
Anna Bergamaschi United States
Martin E. van Royen Netherlands
R Ben-Levy Israel
Maciej Wiznerowicz Poland
Thomas Eisenhaure United States
Ruth Wang relative to Shigemi Kinoshita Japan Shigemi Kinoshita's profile →
Citations per field
00.5×1.5×2.5×
Shigemi Kinoshita · 1×
Citations per year

Countries citing papers authored by Ruth Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ruth Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010195
2 2015172
3 2006153
4 2020134
5 2015129
6 2013102
7 201090
8 201980
9 201779
10 201768
11 200566
12 201465
13 201863
14 201958
15 200849
16 200038
17 201929
18 201628
19 200725
20 201024

About Ruth Wang

Ruth Wang is a scholar working on Molecular Biology, Infectious Diseases, Hepatology, Neurology and Virology, having authored 26 papers that have together received 1.7k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (5 papers), Hepatitis C virus research (4 papers), RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (3 papers), HIV Research and Treatment (3 papers), Biochemical and Molecular Research (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Virology (305 citations), Infectious Diseases (447 citations), Cancer Research (202 citations), Genetics (113 citations) and Hepatology (80 citations). Ruth Wang has collaborated with scholars based in United States, Singapore and Germany. Frequent co-authors include Nilima Kutty, Katherine M. Brendza, Gabriel Birkuš, Magdeleine Hung, Martin J. McDermott, Trevor Darrell, Fisher Yu, G Yeo, E.B. Lansdon and Xiaohong Liu. Their work appears in journals such as Journal of Molecular Biology, Antimicrobial Agents and Chemotherapy, Acta Neuropathologica, Journal of Biological Chemistry and AIDS.

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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