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
- Genetics 6
- Virus-based gene therapy research 3
- Genomics and Rare Diseases 2
- Genetic diversity and population structure 1
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- Biomedical Text Mining and Ontologies 3
- Bioinformatics and Genomic Networks 2
- Co-authors
- Lynn M. Schriml (3 shared papers)Victor Felix (3 shared papers)Warren A. Kibbe (2 shared papers)Suvarna Nadendla (2 shared papers)Gang Feng (1 shared paper)Helen Parkinson (1 shared paper)Chris Mungall (1 shared paper)James Malone (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)Nature Communications (1 paper)Molecular Biology and Evolution (1 paper)Microbiome (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Cesar Arze
11 papers receiving 1.5k citations
Cesar Arze's Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Biology 939
- Cancer Research 146
- Animal Science and Zoology 78
- Health Information Management 32
- Genetics 193
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 | 641 |
| 2 | Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data Hit paper breakdown → | 2014 | 432 |
| 3 | 2011 | 194 | |
| 4 | 2021 | 74 | |
| 5 | 2022 | 37 | |
| 6 | 2015 | 31 | |
| 7 | 2020 | 25 | |
| 8 | 2009 | 25 | |
| 9 | 2024 | 19 | |
| 10 | 2022 | 17 | |
| 11 | 2017 | 13 |
About Cesar Arze
Cesar Arze is a scholar working on Genetics, Molecular Biology, Animal Science and Zoology, Plant Science and Public Health, Environmental and Occupational Health, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (3 papers), Animal Virus Infections Studies (3 papers), Virus-based gene therapy research (3 papers), Genomics and Rare Diseases (2 papers), Bioinformatics and Genomic Networks (2 papers), Plant Virus Research Studies (2 papers), Genetic diversity and population structure (1 paper) and Fermentation and Sensory Analysis (1 paper). The work is most often cited by research in Molecular Biology (939 citations), Cancer Research (146 citations), Animal Science and Zoology (78 citations), Health Information Management (32 citations) and Genetics (193 citations). Cesar Arze has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Lynn M. Schriml, Victor Felix, Warren A. Kibbe, Suvarna Nadendla, Gang Feng, Helen Parkinson, Chris Mungall, James Malone, Elvira Mitraka and Janos X. Binder. Their work appears in journals such as Nucleic Acids Research, Nature Communications, Molecular Biology and Evolution, Microbiome and Cell Reports.
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.