Baltazar D. Aguda
- Molecular Biology top 5%
- Cancer Research top 1%
- Oncology
- Computer Networks and Communications top 5%
- Immunology
- Co-authors
- Clay B. MarshDavid JarjouraTao XiaoThomas D. SchmittgenLianbo YuNoura IsmailJeffrey SchaferMei‐Ling Ting Lee
- Topics
- Gene Regulatory Network Analysis (14 papers)Nonlinear Dynamics and Pattern Formation (8 papers)Microtubule and mitosis dynamics (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyThe Journal of Chemical Physics
- Partner nations
- United StatesCanadaSingapore
In The Last Decade
Baltazar D. Aguda
39 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 1.9k
- Cancer Research 1.3k
- Oncology 218
- Computer Networks and Communications 195
- Immunology 184
Countries citing papers authored by Baltazar D. Aguda
This map shows the geographic impact of Baltazar D. Aguda'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 Baltazar D. Aguda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baltazar D. Aguda more than expected).
Fields of papers citing papers by Baltazar D. Aguda
This network shows the impact of papers produced by Baltazar D. Aguda. 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 Baltazar D. Aguda. The network helps show where Baltazar D. Aguda may publish in the future.
Co-authorship network of co-authors of Baltazar D. Aguda
This figure shows the co-authorship network connecting the top 25 collaborators of Baltazar D. Aguda. A scholar is included among the top collaborators of Baltazar D. Aguda 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 Baltazar D. Aguda. Baltazar D. Aguda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | 3 | |
| 5 | 29 | |
| 6 | 4 | |
| 7 | 18 | |
| 8 | 59 | |
| 9 | 17 | |
| 10 | 93 | |
| 11 | Detection of microRNA Expression in Human Peripheral Blood Microvesiclesbreakdown → | 1171 |
| 12 | 7 | |
| 13 | 15 | |
| 14 | 74 | |
| 15 | 7 | |
| 16 | 2 | |
| 17 | 30 | |
| 18 | 19 | |
| 19 | 86 | |
| 20 | 13 |
About Baltazar D. Aguda
Baltazar D. Aguda is a scholar working on Modeling and Simulation, Cancer Research and Molecular Biology, having authored 39 papers that have together received 2.5k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (14 papers), Nonlinear Dynamics and Pattern Formation (8 papers) and Microtubule and mitosis dynamics (6 papers). The work is most often cited by research in Cancer Research (1.3k citations), Molecular Biology (1.9k citations) and Modeling and Simulation (63 citations). Baltazar D. Aguda has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Clay B. Marsh, David Jarjoura, Tao Xiao, Thomas D. Schmittgen, Lianbo Yu, Noura Ismail, Jeffrey Schafer, Mei‐Ling Ting Lee, Eun Joo Lee and S. Patrick Nana‐Sinkam. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and The Journal of Chemical Physics.
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.