Alex Ade
Impact in
- Bioengineering top 10%
- Analytical Chemistry and Sensors
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- Bioinformatics and Genomic Networks
- Biomedical Text Mining and Ontologies
- Advanced biosensing and bioanalysis techniques
- Metabolomics and Mass Spectrometry Studies
- Microbial Metabolic Engineering and Bioproduction
Papers in
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- Biomedical Text Mining and Ontologies 3
- Bioinformatics and Genomic Networks 3
- Genomics and Phylogenetic Studies 2
- Genomics and Chromatin Dynamics 2
- Epigenetics and DNA Methylation 2
- Genetics 3
- Genetic Associations and Epidemiology 2
- Co-authors
- David J. States (2 shared papers)Terry E. Weymouth (2 shared papers)Jing Gao (1 shared paper)H. V. Jagadish (1 shared paper)David States (2 shared papers)Walter Meixner (5 shared papers)Maureen A. Sartor (2 shared papers)James D. Cavalcoli (2 shared papers)
- Journals
- Bioinformatics (3 papers)Molecular Biology of the Cell (1 paper)Scientific Reports (1 paper)Pharmacogenomics (1 paper)Sensors and Actuators B Chemical (1 paper)
- Partner nations
- United StatesChinaIndonesia
In The Last Decade
Alex Ade
12 papers receiving 405 citations
Peers
Comparison fields: 5 of 105
- Bioengineering 45
- Molecular Biology 266
- Biophysics 21
- Spectroscopy 40
- Aging 4
Countries citing papers authored by Alex Ade
This map shows the geographic impact of Alex Ade'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 Alex Ade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Ade more than expected).
Fields of papers citing papers by Alex Ade
This network shows the impact of papers produced by Alex Ade. 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 Alex Ade. The network helps show where Alex Ade may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex Ade, 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 | 2008 | 109 | |
| 2 | 1998 | 101 | |
| 3 | 2008 | 78 | |
| 4 | 2012 | 33 | |
| 5 | 2008 | 25 | |
| 6 | 2010 | 21 | |
| 7 | 2018 | 21 | |
| 8 | 2018 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2019 | 7 | |
| 11 | 2018 | 3 | |
| 12 | Challenges in presenting high dimensional data to aid in triage in the DARPA virtual soldier project. | 2005 | 2 |
| 13 | 2017 | 0 |
About Alex Ade
Alex Ade is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Biophysics and Surgery, having authored 13 papers that have together received 419 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (3 papers), Bioinformatics and Genomic Networks (3 papers), Genetic Associations and Epidemiology (2 papers), Cell Image Analysis Techniques (2 papers), Genomics and Phylogenetic Studies (2 papers), Genomics and Chromatin Dynamics (2 papers), Epigenetics and DNA Methylation (2 papers) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Bioengineering (45 citations), Molecular Biology (266 citations), Biophysics (21 citations), Spectroscopy (40 citations) and Aging (4 citations). Alex Ade has collaborated with scholars based in United States, China and Indonesia. Frequent co-authors include David J. States, Terry E. Weymouth, Jing Gao, H. V. Jagadish, David States, Walter Meixner, Maureen A. Sartor, James D. Cavalcoli, Raoul Kopelman and Heather A. Clark. Their work appears in journals such as Bioinformatics, Molecular Biology of the Cell, Scientific Reports, Pharmacogenomics and Sensors and Actuators B Chemical.
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.