Erika Riva

940 total citations · 1 hit paper
9 papers, 708 citations indexed

About

Erika Riva is a scholar working on Immunology, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Erika Riva has authored 9 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Oncology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Erika Riva's work include Ethics in Clinical Research (3 papers), Global Cancer Incidence and Screening (2 papers) and Cancer Genomics and Diagnostics (2 papers). Erika Riva is often cited by papers focused on Ethics in Clinical Research (3 papers), Global Cancer Incidence and Screening (2 papers) and Cancer Genomics and Diagnostics (2 papers). Erika Riva collaborates with scholars based in United States, Switzerland and Germany. Erika Riva's co-authors include Aurélien Trompette, Isabel C. López‐Mejía, Céline Pattaroni, Julie Pernot, Benjamin J. Marsland, Laurent Nicod, Lluís Fajas, Eva S. Gollwitzer, Niki Ubags and P Oster and has published in prestigious journals such as Immunity, Gut and Frontiers in Immunology.

In The Last Decade

Erika Riva

9 papers receiving 702 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dietary Fiber Confers Protection against Flu by Shaping Ly6c− Patrolling Monocyte Hematopoiesis and CD8+ T Cell Metabolism

2018 487 citations Aurélien Trompette, Eva S. Gollwitzer et al. Immunity profile →

Peers

Erika Riva

MB

ID

IMMUN

ONCOL

PRM

Jiunn‐Wei Wang Taiwan

Zhaowei Yang China

Yuancheng Huang China

Sushma K. Cribbs United States

Luana de Mendonça Oliveira Brazil

Ashok K. Janmeja India

Matteo Mombelli Switzerland

Amber N. McCoy United States

Lawrence Shih-Hsin Wu Taiwan

Michel J. van Vliet Netherlands

Jiunn‐Wei Wang Taiwan

Erika Riva

379 ×1.0

MB

184 ×1.0

ID

62 ×0.4

IMMUN

76 ×0.7

ONCOL

70 ×0.7

PRM

Citations per year, relative to Erika Riva Erika Riva (= 1×) peers Jiunn‐Wei Wang

Countries citing papers authored by Erika Riva

Since Specialization

Citations

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

Fields of papers citing papers by Erika Riva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erika Riva

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

All Works

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9 of 9 papers shown

1.

Riva, Erika, Susanna Carboni, Wilma Di Berardino-Besson, et al.. (2024). Bimodal Effect of NKG2A Blockade on Intratumoral and Systemic CD8 T Cell Response Induced by Cancer Vaccine. Cancers. 16(11). 2036–2036. 2 indexed citations

2.

Oster, P, et al.. (2022). Helicobacter pylori infection has a detrimental impact on the efficacy of cancer immunotherapies. Figshare. 10 indexed citations

3.

Rossi, Matteo A. C., Susanna Carboni, Wilma Di Berardino-Besson, et al.. (2021). STING Agonist Combined to a Protein-Based Cancer Vaccine Potentiates Peripheral and Intra-Tumoral T Cell Immunity. Frontiers in Immunology. 12. 695056–695056. 18 indexed citations

4.

Oster, P, Erika Riva, Caroline Truntzer, et al.. (2021). Helicobacter pylori infection has a detrimental impact on the efficacy of cancer immunotherapies. Gut. 71(3). 457–466. 129 indexed citations

5.

Trompette, Aurélien, Eva S. Gollwitzer, Céline Pattaroni, et al.. (2018). Dietary Fiber Confers Protection against Flu by Shaping Ly6c− Patrolling Monocyte Hematopoiesis and CD8+ T Cell Metabolism. Immunity. 48(5). 992–1005.e8. 487 indexed citations breakdown →

6.

Riva, Erika, et al.. (2016). Providers’ Views on a Community-Wide Patient Navigation Program. Health Promotion Practice. 17(3). 382–390. 11 indexed citations

7.

Riva, Erika, et al.. (2015). The Development of a Communication Tool to Facilitate the Cancer Trial Recruitment Process and Increase Research Literacy among Underrepresented Populations. Journal of Cancer Education. 30(4). 792–798. 16 indexed citations

8.

Simon, Melissa A., et al.. (2015). Community navigators for breast and cervical cancer screening and follow-up. Implementation Science. 10(S1). 9 indexed citations

9.

Simon, Melissa A., Erika Riva, Raymond C. Bergan, et al.. (2014). Improving Diversity in Cancer Research Trials: The Story of the Cancer Disparities Research Network. Journal of Cancer Education. 29(2). 366–374. 26 indexed citations

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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