Michael M. Hoffman
- Health Informatics top 5%
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics 14
- Genomics and Phylogenetic Studies 12
- Epigenetics and DNA Methylation 8
- RNA and protein synthesis mechanisms 8
- RNA modifications and cancer 5
- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 4
- Cancer Research top 10%
- Genetics top 10%
- Biophysics top 5%
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- Chromosomal and Genetic Variations 3
- Co-authors
- William Stafford NobleOrion J. BuskeJeff BilmesZhiping WengJure LeskovecAnna GoldenbergJie WangBo Wang
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Michael M. Hoffman
37 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Health Informatics 40
- Molecular Biology 1.5k
- Cancer Research 228
- Genetics 311
- Biophysics 50
Countries citing papers authored by Michael M. Hoffman
This map shows the geographic impact of Michael M. Hoffman'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 M. Hoffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael M. Hoffman more than expected).
Fields of papers citing papers by Michael M. Hoffman
This network shows the impact of papers produced by Michael M. Hoffman. 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 M. Hoffman. The network helps show where Michael M. Hoffman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael M. Hoffman, 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 | 2024 | 8 | |
| 2 | 2023 | 11 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 15 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 13 | |
| 10 | 2021 | 53 | |
| 11 | 2019 | 55 | |
| 12 | 2019 | 29 | |
| 13 | 2018 | 80 | |
| 14 | 2018 | 7 | |
| 15 | 2017 | 26 | |
| 16 | 2017 | 1 | |
| 17 | 2016 | 22 | |
| 18 | 2012 | 376 | |
| 19 | 2010 | 20 | |
| 20 | 2003 | 118 |
About Michael M. Hoffman
Michael M. Hoffman is a scholar working on Molecular Biology, Information Systems and Management, Statistics, Probability and Uncertainty, Cancer Research and Biophysics, having authored 37 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (14 papers), Genomics and Phylogenetic Studies (12 papers), Epigenetics and DNA Methylation (8 papers), RNA and protein synthesis mechanisms (8 papers), RNA modifications and cancer (5 papers), Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (4 papers) and Chromosomal and Genetic Variations (3 papers). The work is most often cited by research in Health Informatics (40 citations), Molecular Biology (1.5k citations), Cancer Research (228 citations), Genetics (311 citations) and Biophysics (50 citations). Michael M. Hoffman has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include William Stafford Noble, Orion J. Buske, Jeff Bilmes, Zhiping Weng, Jure Leskovec, Anna Goldenberg, Jie Wang, Bo Wang, Francis Nguyen and Marinka Žitnik. Their work appears in journals such as Genome biology, Bioinformatics, Nucleic Acids Research, Nature Methods and Genome Research.
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.