Cesar Arze
Impact in
- Molecular Biology top 10%
- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Genomics and Phylogenetic Studies
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- Biomedical Text Mining and Ontologies 3
- Genomics and Phylogenetic Studies 2
- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 2
- Genetics 6
- Virus-based gene therapy research 3
- Genomics and Rare Diseases 2
- Co-authors
- Victor Felix (3 shared papers)Lynn M. Schriml (3 shared papers)Warren A. Kibbe (2 shared papers)Suvarna Nadendla (2 shared papers)Gang Feng (1 shared paper)Gang Fu (1 shared paper)Evan Bolton (1 shared paper)Drashtti Vasant (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)Scientific Reports (1 paper)BMC Genomics (1 paper)Molecular Biology and Evolution (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Cesar Arze
11 papers receiving 1.4k citations
Cesar Arze's Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 1.1k
- Cancer Research 172
- Health Information Management 42
- Artificial Intelligence 287
- Information Systems and Management 59
Countries citing papers authored by Cesar Arze
This map shows the geographic impact of Cesar Arze'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 Cesar Arze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cesar Arze more than expected).
Fields of papers citing papers by Cesar Arze
This network shows the impact of papers produced by Cesar Arze. 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 Cesar Arze. The network helps show where Cesar Arze may publish in the future.
Co-authors
The 25 scholars most cited alongside Cesar Arze, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Disease Ontology: a backbone for disease semantic integration Hit paper breakdown → | 2011 | 636 |
| 2 | Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data Hit paper breakdown → | 2014 | 430 |
| 3 | 2011 | 194 | |
| 4 | 2021 | 68 | |
| 5 | 2022 | 36 | |
| 6 | 2015 | 31 | |
| 7 | 2020 | 25 | |
| 8 | 2009 | 24 | |
| 9 | 2022 | 16 | |
| 10 | 2024 | 13 | |
| 11 | 2017 | 13 |
About Cesar Arze
Cesar Arze is a scholar working on Molecular Biology, Genetics, Animal Science and Zoology, Plant Science and Ecology, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (3 papers), Biomedical Text Mining and Ontologies (3 papers), Virus-based gene therapy research (3 papers), Genomics and Phylogenetic Studies (2 papers), Plant Virus Research Studies (2 papers), Bioinformatics and Genomic Networks (2 papers), Genomics and Rare Diseases (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Cancer Research (172 citations), Health Information Management (42 citations), Artificial Intelligence (287 citations) and Information Systems and Management (59 citations). Cesar Arze has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Victor Felix, Lynn M. Schriml, Warren A. Kibbe, Suvarna Nadendla, Gang Feng, Gang Fu, Evan Bolton, Drashtti Vasant, James Malone and Elvira Mitraka. Their work appears in journals such as Nucleic Acids Research, Scientific Reports, BMC Genomics, Molecular Biology and Evolution and Nature Communications.
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.