Susan M. Egan
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Genetics top 5%
- Bacterial Genetics and Biotechnology
Papers in
-
- RNA and protein synthesis mechanisms 11
- RNA Research and Splicing 3
- Genomics and Chromatin Dynamics 3
- Genetics 17
- Bacterial Genetics and Biotechnology 16
- Co-authors
- Robert Schleif (2 shared papers)Valley Stewart (3 shared papers)Prasanna M. Bhende (2 shared papers)Jason R. Wickstrum (6 shared papers)Elena Hidalgo (1 shared paper)J Aguilar (1 shared paper)Liskin Swint‐Kruse (3 shared papers)L A Collins (1 shared paper)
- Journals
- Journal of Bacteriology (15 papers)Journal of Molecular Biology (2 papers)Proteins Structure Function and Bioinformatics (2 papers)BioTechniques (1 paper)SLAS DISCOVERY (1 paper)
- Partner nations
- United StatesSpainCanada
In The Last Decade
Susan M. Egan
32 papers receiving 989 citations
Peers
Comparison fields: 5 of 74
- Endocrinology 158
- Genetics 511
- Molecular Medicine 71
- Molecular Biology 651
- Biochemistry 57
Countries citing papers authored by Susan M. Egan
This map shows the geographic impact of Susan M. Egan'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 Susan M. Egan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan M. Egan more than expected).
Fields of papers citing papers by Susan M. Egan
This network shows the impact of papers produced by Susan M. Egan. 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 Susan M. Egan. The network helps show where Susan M. Egan may publish in the future.
Co-authors
The 25 scholars most cited alongside Susan M. Egan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 115 | |
| 2 | 1993 | 104 | |
| 3 | 1993 | 86 | |
| 4 | 1994 | 59 | |
| 5 | 2000 | 51 | |
| 6 | 2013 | 50 | |
| 7 | 1999 | 44 | |
| 8 | 1992 | 42 | |
| 9 | 2007 | 41 | |
| 10 | 1990 | 37 | |
| 11 | 2004 | 36 | |
| 12 | 2002 | 35 | |
| 13 | 1991 | 35 | |
| 14 | 2000 | 29 | |
| 15 | 2000 | 28 | |
| 16 | 2007 | 23 | |
| 17 | 2001 | 20 | |
| 18 | 2005 | 20 | |
| 19 | 2013 | 18 | |
| 20 | 2000 | 18 |
About Susan M. Egan
Susan M. Egan is a scholar working on Molecular Biology, Genetics, Pollution, Pediatrics, Perinatology and Child Health and Ecology, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (16 papers), RNA and protein synthesis mechanisms (11 papers), Pregnancy and preeclampsia studies (3 papers), RNA Research and Splicing (3 papers), Enzyme Structure and Function (3 papers), Genomics and Chromatin Dynamics (3 papers), Prenatal Screening and Diagnostics (3 papers) and Assisted Reproductive Technology and Twin Pregnancy (3 papers). The work is most often cited by research in Endocrinology (158 citations), Genetics (511 citations), Molecular Medicine (71 citations), Molecular Biology (651 citations) and Biochemistry (57 citations). Susan M. Egan has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Robert Schleif, Valley Stewart, Prasanna M. Bhende, Jason R. Wickstrum, Elena Hidalgo, J Aguilar, Liskin Swint‐Kruse, L A Collins, Sudheer Tungtur and Veerendra Koppolu. Their work appears in journals such as Journal of Bacteriology, Journal of Molecular Biology, Proteins Structure Function and Bioinformatics, BioTechniques and SLAS DISCOVERY.
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.