Chiara Riva

1.9k citations
44 papers · 1.3k · h-index 24

Impact in

  • Virology top 1%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV Research and Treatment 24
    • HIV/AIDS drug development and treatment 17
    • HIV/AIDS Research and Interventions 13

Chiara Riva

44 papers receiving 1.3k citations

Peers

Chiara Riva
Comparison fields: 5 of 104
  • Virology 607
  • Infectious Diseases 455
  • Neurology 152
  • Immunology 201
  • Biological Psychiatry 20
Replace Xuexing Zheng with:
Xuexing Zheng China
Premeela A. Rajakumar United States
Ruma Mukerjee United States
Stephanie J. Bissel United States
Anne D. Lewis United States
Ronald Y. Chuang United States
Emanuela Balestrieri Italy
Yoichi Robertus Fujii Japan
Romain Volmer France
Harry C. Meeker United States
Chiara Riva relative to Xuexing Zheng China Xuexing Zheng's profile →
Citations per field
00.5×3.3×
Xuexing Zheng · 1×
Citations per year

Countries citing papers authored by Chiara Riva

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Riva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199692
2 200168
3 199468
4 201362
5 199662
6 201355
7 199554
8 200654
9 201848
10 201346
11 201046
12 200044
13 201042
14 199642
15 200141
16 201639
17 200538
18 200637
19 200134
20 200027

About Chiara Riva

Chiara Riva is a scholar working on Virology, Infectious Diseases, Epidemiology, Neurology and Molecular Biology, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (24 papers), HIV/AIDS drug development and treatment (17 papers), HIV/AIDS Research and Interventions (13 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Cytomegalovirus and herpesvirus research (3 papers), Autophagy in Disease and Therapy (3 papers), Alzheimer's disease research and treatments (2 papers) and GABA and Rice Research (2 papers). The work is most often cited by research in Virology (607 citations), Infectious Diseases (455 citations), Neurology (152 citations), Immunology (201 citations) and Biological Psychiatry (20 citations). Chiara Riva has collaborated with scholars based in Italy, Belgium and United States. Frequent co-authors include Claudia Balotta, Carlo Ferrarese, Massimo Galli, Gessica Sala, Mauro Moroni, Laura Brighina, Mario Clerici, Daria Trabattoni, R.F. Parrott and B.H. Misson. Their work appears in journals such as JAIDS Journal of Acquired Immune Deficiency Syndromes, AIDS Research and Human Retroviruses, AIDS, Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration and BioMed Research International.

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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