Ángel A. Rivera

2.2k citations
46 papers · 1.7k indexed · h-index 24

Impact in

  • Genetics top 2%
    • Virus-based gene therapy research
    • Mesenchymal stem cell research
  • Oncology top 5%
    • CAR-T cell therapy research

Papers in

    • Virus-based gene therapy research 33
    • Mesenchymal stem cell research 2
    • CAR-T cell therapy research 17

Ángel A. Rivera

45 papers receiving 1.7k citations

Peers

Ángel A. Rivera
Comparison fields: 5 of 84
  • Genetics 1.1k
  • Genetics 293
  • Oncology 737
  • Biotechnology 214
  • Rehabilitation 115
Replace Fabian Gross with:
Fabian Gross France
Tanja Hakkarainen Finland
Elena Provasi Italy
Jane Reese United States
Pervin Anklesaria United States
Dina Markowitz United States
N. Sanjib Banerjee United States
Soosan Ghazizadeh United States
Rafael Moreno Spain
Vitali Alexeev United States
Ángel A. Rivera relative to Fabian Gross France Fabian Gross's profile →
Citations per field
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Fabian Gross · 1×
Citations per year

Countries citing papers authored by Ángel A. Rivera

Since Specialization
Citations

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

Fields of papers citing papers by Ángel A. Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ángel A. Rivera. 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 Ángel A. Rivera. The network helps show where Ángel A. Rivera may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202114
2 20175
3 201613
4 20133
5 201121
6 200816
7 200838
8 2008101
9 200729
10 2007157
11 200742
12 20068
13 200610
14 20062
15 200529
16 200446
17 200486
18 200359
19 19913
20 198713

About Ángel A. Rivera

Ángel A. Rivera is a scholar working on Genetics, Oncology, Molecular Biology, Rehabilitation and Immunology, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (33 papers), CAR-T cell therapy research (17 papers), Viral Infectious Diseases and Gene Expression in Insects (17 papers), RNA Interference and Gene Delivery (14 papers), Immunotherapy and Immune Responses (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Hemophilia Treatment and Research (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Genetics (1.1k citations), Genetics (293 citations), Oncology (737 citations), Biotechnology (214 citations) and Rehabilitation (115 citations). Ángel A. Rivera has collaborated with scholars based in United States, Germany and France. Frequent co-authors include David T. Curiel, J. Michael Mathis, Ilya V. Ulasov, Dirk M. Nettelbeck, Maciej S. Lesniak, Zeng B. Zhu, Matthew A. Tyler, Minghui Wang, Gene P. Siegal and Adam M. Sonabend. Their work appears in journals such as Cancer Biology & Therapy, Cancer Gene Therapy, Human Gene Therapy, International Journal of Cancer and Virology.

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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