Arthur M. Baca
- Cancer Research top 2%
- Pulmonary and Respiratory Medicine top 5%
- Molecular Biology
- Oncology top 10%
- Epidemiology top 10%
- Co-authors
- Helmy EltoukhyOliver A. ZillStefanie MortimerRichard B. LanmanScott KopetzPetros NikolinakosDave S.�B. HoonRené López
- Topics
- Cancer Genomics and Diagnostics (6 papers)Genetic factors in colorectal cancer (4 papers)Lung Cancer Treatments and Mutations (4 papers)
- Partner nations
- United StatesItalySouth Korea
In The Last Decade
Arthur M. Baca
15 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Cancer Research 681
- Pulmonary and Respiratory Medicine 464
- Molecular Biology 461
- Oncology 333
- Epidemiology 272
Countries citing papers authored by Arthur M. Baca
This map shows the geographic impact of Arthur M. Baca'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 Arthur M. Baca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arthur M. Baca more than expected).
Fields of papers citing papers by Arthur M. Baca
This network shows the impact of papers produced by Arthur M. Baca. 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 Arthur M. Baca. The network helps show where Arthur M. Baca may publish in the future.
Co-authorship network of co-authors of Arthur M. Baca
This figure shows the co-authorship network connecting the top 25 collaborators of Arthur M. Baca. A scholar is included among the top collaborators of Arthur M. Baca 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 Arthur M. Baca. Arthur M. Baca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | The Landscape of Actionable Genomic Alterations in Cell-Free Circulating Tumor DNA from 21,807 Advanced Cancer Patientsbreakdown → | 271 |
| 5 | 8 | |
| 6 | 29 | |
| 7 | 136 | |
| 8 | Analytical and Clinical Validation of a Digital Sequencing Panel for Quantitative, Highly Accurate Evaluation of Cell-Free Circulating Tumor DNAbreakdown → | 470 |
| 9 | 19 | |
| 10 | 6 | |
| 11 | 91 | |
| 12 | 119 | |
| 13 | 100 | |
| 14 | Rapid communication Overcoming codon bias: A method for high-level overexpression of Plasmodium and other AT-rich parasite genes in Escherichia coli | 1 |
| 15 | 3 | |
| 16 | 56 |
About Arthur M. Baca
Arthur M. Baca is a scholar working on Cancer Research, Pathology and Forensic Medicine and Molecular Medicine, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Genetic factors in colorectal cancer (4 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Cancer Research (681 citations), Pulmonary and Respiratory Medicine (464 citations) and Pathology and Forensic Medicine (239 citations). Arthur M. Baca has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include Helmy Eltoukhy, Oliver A. Zill, Stefanie Mortimer, Richard B. Lanman, Scott Kopetz, Petros Nikolinakos, Dave S.�B. Hoon, René López, Eric A. Collisson and Stephen G. Divers. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Journal of Molecular Biology.
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.