Jason D. Arroyo
- Molecular Biology top 1%
- Cancer Research top 0.2%
- Oncology top 10%
- Immunology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Muneesh TewariEvan M. KrohJonathan F. TaitColin C. PritchardJohn R. ChevilletEra L. Pogosova‐AgadjanyanIngrid K. RufDerek L. Stirewalt
- Topics
- MicroRNA in disease regulation (5 papers)RNA modifications and cancer (3 papers)Ubiquitin and proteasome pathways (3 papers)
- Partner nations
- United StatesBulgariaChina
In The Last Decade
Jason D. Arroyo
15 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 4.7k
- Cancer Research 3.6k
- Oncology 454
- Immunology 406
- Pulmonary and Respiratory Medicine 289
Countries citing papers authored by Jason D. Arroyo
This map shows the geographic impact of Jason D. Arroyo'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 Jason D. Arroyo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason D. Arroyo more than expected).
Fields of papers citing papers by Jason D. Arroyo
This network shows the impact of papers produced by Jason D. Arroyo. 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 Jason D. Arroyo. The network helps show where Jason D. Arroyo may publish in the future.
Co-authorship network of co-authors of Jason D. Arroyo
This figure shows the co-authorship network connecting the top 25 collaborators of Jason D. Arroyo. A scholar is included among the top collaborators of Jason D. Arroyo 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 Jason D. Arroyo. Jason D. Arroyo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 221 | |
| 3 | Quantitative and stoichiometric analysis of the microRNA content of exosomesbreakdown → | 883 |
| 4 | 13 | |
| 5 | Blood Cell Origin of Circulating MicroRNAs: A Cautionary Note for Cancer Biomarker Studiesbreakdown → | 734 |
| 6 | 58 | |
| 7 | Argonaute2 complexes carry a population of circulating microRNAs independent of vesicles in human plasmabreakdown → | 2675 |
| 8 | 103 | |
| 9 | 13 | |
| 10 | 166 | |
| 11 | 104 | |
| 12 | 163 | |
| 13 | 87 | |
| 14 | 192 | |
| 15 | 197 |
About Jason D. Arroyo
Jason D. Arroyo is a scholar working on Cancer Research, Molecular Biology and Clinical Biochemistry, having authored 15 papers that have together received 5.6k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), RNA modifications and cancer (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Cancer Research (3.6k citations), Molecular Biology (4.7k citations) and Immunology (406 citations). Jason D. Arroyo has collaborated with scholars based in United States, Bulgaria and China. Frequent co-authors include Muneesh Tewari, Evan M. Kroh, Jonathan F. Tait, Colin C. Pritchard, John R. Chevillet, Era L. Pogosova‐Agadjanyan, Ingrid K. Ruf, Derek L. Stirewalt, Patrick S. Mitchell and Christopher F. Bennett. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.