M.J. Fero
Impact in
- Genetics top 5%
- Bacterial Genetics and Biotechnology
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Microbial Metabolic Engineering and Bioproduction
- Bacterial biofilms and quorum sensing
- Genomics and Chromatin Dynamics
Papers in
-
- Genomics and Phylogenetic Studies 5
- Gene expression and cancer classification 2
- RNA and protein synthesis mechanisms 2
- Gene Regulatory Network Analysis 2
- Genetics 6
- Bacterial Genetics and Biotechnology 6
- Co-authors
- Lucy Shapiro (5 shared papers)Harley H. McAdams (5 shared papers)Eduardo Abeliuk (3 shared papers)Sun‐Hae Hong (4 shared papers)Beat Christen (2 shared papers)John A. Coller (1 shared paper)Virginia S. Kalogeraki (1 shared paper)J.M. Collier (1 shared paper)
- Journals
- Molecular Microbiology (2 papers)BMC Genomics (2 papers)ACS Synthetic Biology (1 paper)Molecular Systems Biology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesSpainGermany
In The Last Decade
M.J. Fero
17 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 117
- Genetics 447
- Molecular Biology 989
- Endocrinology 65
- Molecular Medicine 59
- Structural Biology 16
Countries citing papers authored by M.J. Fero
This map shows the geographic impact of M.J. Fero'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 M.J. Fero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.J. Fero more than expected).
Fields of papers citing papers by M.J. Fero
This network shows the impact of papers produced by M.J. Fero. 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 M.J. Fero. The network helps show where M.J. Fero may publish in the future.
Co-authors
The 25 scholars most cited alongside M.J. Fero, 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 | 2011 | 253 | |
| 2 | 2020 | 219 | |
| 3 | 2003 | 215 | |
| 4 | 2011 | 211 | |
| 5 | 2004 | 122 | |
| 6 | 2011 | 114 | |
| 7 | 2010 | 105 | |
| 8 | 2010 | 40 | |
| 9 | 1988 | 25 | |
| 10 | 2010 | 17 | |
| 11 | 2021 | 12 | |
| 12 | 2004 | 11 | |
| 13 | 2020 | 4 | |
| 14 | 2020 | 3 | |
| 15 | 1992 | 2 | |
| 16 | 2001 | 1 | |
| 17 | 1989 | 1 |
About M.J. Fero
M.J. Fero is a scholar working on Molecular Biology, Genetics, Nuclear and High Energy Physics, Cancer Research and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (6 papers), Genomics and Phylogenetic Studies (5 papers), Quantum Chromodynamics and Particle Interactions (3 papers), Gene expression and cancer classification (2 papers), RNA and protein synthesis mechanisms (2 papers), Particle physics theoretical and experimental studies (2 papers), High-Energy Particle Collisions Research (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Genetics (447 citations), Molecular Biology (989 citations), Endocrinology (65 citations), Molecular Medicine (59 citations) and Structural Biology (16 citations). M.J. Fero has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Lucy Shapiro, Harley H. McAdams, Eduardo Abeliuk, Sun‐Hae Hong, Beat Christen, John A. Coller, Virginia S. Kalogeraki, J.M. Collier, James D. Brooks and Ronald J. Cohen. Their work appears in journals such as Molecular Microbiology, BMC Genomics, ACS Synthetic Biology, Molecular Systems Biology and PLoS ONE.
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.