Michael Molla
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Genetics top 2%
- Genomics and Rare Diseases
- Evolution and Genetic Dynamics
- Genomic variations and chromosomal abnormalities
Papers in
-
- Gene expression and cancer classification 7
- Genomics and Phylogenetic Studies 3
- Pluripotent Stem Cells Research 2
- Plant Reproductive Biology 2
- Molecular Biology Techniques and Applications 2
- Machine Learning in Bioinformatics 2
- Genetics 4
- Evolution and Genetic Dynamics 3
- Genetic diversity and population structure 2
- Co-authors
- Charles R. Cantor (2 shared papers)Henry H. Lee (1 shared paper)James J. Collins (1 shared paper)Thomas J. Albert (4 shared papers)Matthew J. Rodesch (2 shared papers)Todd Richmond (3 shared papers)Zhenyu Xuan (1 shared paper)Emily Hodges (1 shared paper)
- Journals
- Nature Methods (2 papers)Evolution (2 papers)Bioinformatics (1 paper)Diabetes (1 paper)Information Sciences (1 paper)
- Partner nations
- United StatesMalaysiaSwitzerland
In The Last Decade
Michael Molla
16 papers receiving 1.9k citations
Michael Molla's Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Medicine 139
- Genetics 774
- Molecular Biology 1.1k
- Cancer Research 197
- Microbiology 78
Countries citing papers authored by Michael Molla
This map shows the geographic impact of Michael Molla'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 Michael Molla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Molla more than expected).
Fields of papers citing papers by Michael Molla
This network shows the impact of papers produced by Michael Molla. 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 Michael Molla. The network helps show where Michael Molla may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Molla, 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 | Genome-wide in situ exon capture for selective resequencing Hit paper breakdown → | 2007 | 534 |
| 2 | Direct selection of human genomic loci by microarray hybridization Hit paper breakdown → | 2007 | 506 |
| 3 | 2010 | 485 | |
| 4 | 2005 | 174 | |
| 5 | 2012 | 104 | |
| 6 | 2008 | 66 | |
| 7 | 2014 | 37 | |
| 8 | 2002 | 32 | |
| 9 | 2009 | 27 | |
| 10 | 2005 | 16 | |
| 11 | Using machine learning to design and interpret geneexpression microarrays | 2013 | 15 |
| 12 | Computer Sciences Department Novel Uses for Machine Learning and Other Computational Methods for the Design and Interpretation of Genetic Microarrays | 2007 | 6 |
| 13 | 2002 | 5 | |
| 14 | 2004 | 5 | |
| 15 | 2005 | 3 | |
| 16 | 2025 | 1 |
About Michael Molla
Michael Molla is a scholar working on Molecular Biology, Genetics, Surgery, Cellular and Molecular Neuroscience and Plant Science, having authored 16 papers that have together received 2.0k indexed citations. Recurring topics across this work include Gene expression and cancer classification (7 papers), Evolution and Genetic Dynamics (3 papers), Genomics and Phylogenetic Studies (3 papers), Pluripotent Stem Cells Research (2 papers), Plant Reproductive Biology (2 papers), Molecular Biology Techniques and Applications (2 papers), Machine Learning in Bioinformatics (2 papers) and Genetic diversity and population structure (2 papers). The work is most often cited by research in Molecular Medicine (139 citations), Genetics (774 citations), Molecular Biology (1.1k citations), Cancer Research (197 citations) and Microbiology (78 citations). Michael Molla has collaborated with scholars based in United States, Malaysia and Switzerland. Frequent co-authors include Charles R. Cantor, Henry H. Lee, James J. Collins, Thomas J. Albert, Matthew J. Rodesch, Todd Richmond, Zhenyu Xuan, Emily Hodges, Vivekanand S. Balija and Steven W. Smith. Their work appears in journals such as Nature Methods, Evolution, Bioinformatics, Diabetes and Information Sciences.
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.