Hema Bye‐A‐Jee
Impact in
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- Bioinformatics and Genomic Networks
- Muscle Physiology and Disorders
- Genomics and Phylogenetic Studies
- Biomedical Text Mining and Ontologies
- Protein Structure and Dynamics
- Microbial Metabolic Engineering and Bioproduction
- Machine Learning in Bioinformatics
Papers in
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- Genomics and Phylogenetic Studies 2
- Microbial Metabolic Engineering and Bioproduction 2
- Muscle Physiology and Disorders 2
- Bioinformatics and Genomic Networks 2
- Biomedical Text Mining and Ontologies 1
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- Research Data Management Practices 1
- Co-authors
- Dominic J. Wells (1 shared paper)Paul Sharp (1 shared paper)Michele Magrane (2 shared papers)Zhiyong Lu (1 shared paper)Chih-Hsuan Wei (1 shared paper)Alex Bateman (1 shared paper)Emmanuel Boutet (1 shared paper)Maria Livia Famiglietti (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)FEBS Journal (1 paper)Molecular Therapy (1 paper)Skeletal Muscle (1 paper)Bioinformatics (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Hema Bye‐A‐Jee
7 papers receiving 296 citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 250
- Aging 5
- Spectroscopy 22
- Biophysics 6
- Genetics 28
Countries citing papers authored by Hema Bye‐A‐Jee
This map shows the geographic impact of Hema Bye‐A‐Jee'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 Hema Bye‐A‐Jee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hema Bye‐A‐Jee more than expected).
Fields of papers citing papers by Hema Bye‐A‐Jee
This network shows the impact of papers produced by Hema Bye‐A‐Jee. 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 Hema Bye‐A‐Jee. The network helps show where Hema Bye‐A‐Jee may publish in the future.
Co-authors
The 25 scholars most cited alongside Hema Bye‐A‐Jee, 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 | 2017 | 89 | |
| 2 | 2018 | 79 | |
| 3 | 2010 | 63 | |
| 4 | 2021 | 38 | |
| 5 | 2018 | 24 | |
| 6 | 2020 | 4 | |
| 7 | 2017 | 1 |
About Hema Bye‐A‐Jee
Hema Bye‐A‐Jee is a scholar working on Molecular Biology, Information Systems, Information Systems and Management, Biomaterials and Aging, having authored 7 papers that have together received 298 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Muscle Physiology and Disorders (2 papers), Bioinformatics and Genomic Networks (2 papers), Scientific Computing and Data Management (1 paper), Research Data Management Practices (1 paper), Silk-based biomaterials and applications (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Molecular Biology (250 citations), Aging (5 citations), Spectroscopy (22 citations), Biophysics (6 citations) and Genetics (28 citations). Hema Bye‐A‐Jee has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Dominic J. Wells, Paul Sharp, Michele Magrane, Zhiyong Lu, Chih-Hsuan Wei, Alex Bateman, Emmanuel Boutet, Maria Livia Famiglietti, Cecilia N. Arighi and Bernd Roechert. Their work appears in journals such as Nucleic Acids Research, FEBS Journal, Molecular Therapy, Skeletal Muscle and Bioinformatics.
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.