Pamela Valva

554 total citations
24 papers, 399 citations indexed

About

Pamela Valva is a scholar working on Epidemiology, Hepatology and Cancer Research. According to data from OpenAlex, Pamela Valva has authored 24 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 19 papers in Hepatology and 4 papers in Cancer Research. Recurrent topics in Pamela Valva's work include Liver Disease Diagnosis and Treatment (16 papers), Hepatitis C virus research (16 papers) and Hepatitis B Virus Studies (8 papers). Pamela Valva is often cited by papers focused on Liver Disease Diagnosis and Treatment (16 papers), Hepatitis C virus research (16 papers) and Hepatitis B Virus Studies (8 papers). Pamela Valva collaborates with scholars based in Argentina, Germany and Spain. Pamela Valva's co-authors include María Victoria Preciado, Elena De Matteo, Paola Casciato, Eduardo Müllen, María Inés Gismondi, Diego Flichman, Omar Galdame, María Belén Pisano, Viviana Ré and Adrián Gadano and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Clinical Microbiology.

In The Last Decade

Pamela Valva

22 papers receiving 387 citations

Peers

Pamela Valva
Comparison fields: 5 of 73
  • Epidemiology 250
  • Hepatology 225
  • Molecular Biology 74
  • Immunology 49
  • Oncology 40
Replace José María Vera-Cruz with:
José María Vera-Cruz Mexico
Chih‐Feng Wu Taiwan
Tomoe Shimazaki Japan
Shuanghu Liu United States
Paul David Germany
Leila Maria Moreira Beltrão Pereira Brazil
Christoph Antoni Germany
Yuki Haga Japan
Zhujun Cao China
José María Vera-Cruz Mexico View profile →
Citations per field, relative to Pamela Valva
Pamela Valva · 1×
Citations per year, relative to Pamela Valva
Pamela Valva · 1×

Countries citing papers authored by Pamela Valva

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Valva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Valva

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela Valva. A scholar is included among the top collaborators of Pamela Valva 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 Pamela Valva. Pamela Valva 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
# Work Indexed citations
1 0
2 0
3 4
4 6
5 13
6 56
7 25
8 7
9 16
10 26
11 47
12 10
13 24
14 17
15 43
16 30
17 22
18
Germline TP53 mutations and single nucleotide polymorphisms in children.
1
19 10
20 21

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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