Gail Baughman
Impact in
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Signaling Pathways in Disease
- Heat shock proteins research
- Genetics top 5%
- Bacterial Genetics and Biotechnology
Papers in
-
- Glycosylation and Glycoproteins Research 3
- RNA and protein synthesis mechanisms 3
- Signaling Pathways in Disease 2
- Co-authors
- Michio Nomura (2 shared papers)Richard L. Gourse (1 shared paper)Suzanne Bourgeois (7 shared papers)Naomi F. Campbell (2 shared papers)Mary M. Martin (2 shared papers)Gregory J. Wiederrecht (2 shared papers)Jerry D. Jacobs (1 shared paper)Stephen H. Howell (1 shared paper)
- Journals
- Molecular and Cellular Biology (3 papers)Proceedings of the National Academy of Sciences (2 papers)The Journal of Immunology (2 papers)Biochemical and Biophysical Research Communications (1 paper)Virology (1 paper)
- Partner nations
- United StatesBelgium
In The Last Decade
Gail Baughman
13 papers receiving 1.4k citations
Gail Baughman's Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.2k
- Genetics 425
- Behavioral Neuroscience 37
- Immunology 200
- Endocrinology 45
Countries citing papers authored by Gail Baughman
This map shows the geographic impact of Gail Baughman'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 Gail Baughman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gail Baughman more than expected).
Fields of papers citing papers by Gail Baughman
This network shows the impact of papers produced by Gail Baughman. 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 Gail Baughman. The network helps show where Gail Baughman may publish in the future.
Co-authors
The 20 scholars most cited alongside Gail Baughman, 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 | REGULATION OF THE SYNTHESIS OF RIBOSOMES AND RIBOSOMAL COMPONENTS Hit paper breakdown → | 1984 | 740 |
| 2 | 1995 | 140 | |
| 3 | 1983 | 117 | |
| 4 | 1997 | 102 | |
| 5 | 1989 | 82 | |
| 6 | 1991 | 79 | |
| 7 | 1988 | 68 | |
| 8 | 1989 | 53 | |
| 9 | 1984 | 34 | |
| 10 | 1988 | 32 | |
| 11 | 1992 | 21 | |
| 12 | 1996 | 20 | |
| 13 | 1979 | 9 |
About Gail Baughman
Gail Baughman is a scholar working on Molecular Biology, Immunology, Oncology, Cell Biology and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), RNA and protein synthesis mechanisms (3 papers), Peptidase Inhibition and Analysis (2 papers), Signaling Pathways in Disease (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Plant Virus Research Studies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Genetics (425 citations), Behavioral Neuroscience (37 citations), Immunology (200 citations) and Endocrinology (45 citations). Gail Baughman has collaborated with scholars based in United States and Belgium. Frequent co-authors include Michio Nomura, Richard L. Gourse, Suzanne Bourgeois, Naomi F. Campbell, Mary M. Martin, Gregory J. Wiederrecht, Jerry D. Jacobs, Stephen H. Howell, M Nomura and Stephen Nurrish. Their work appears in journals such as Molecular and Cellular Biology, Proceedings of the National Academy of Sciences, The Journal of Immunology, Biochemical and Biophysical Research Communications and Virology.
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.