Deborah Lyn
- Microbiology top 0.5%
- Reproductive tract infections research 13
- Immunology top 5%
- Reproductive System and Pregnancy 7
- Epidemiology top 10%
- Cervical Cancer and HPV Research 3
- Hepatitis B Virus Studies 3
- Influenza Virus Research Studies 2
- Endocrinology top 10%
- Infectious Diseases top 10%
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- Calcium signaling and nucleotide metabolism 4
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- Hormonal Regulation and Hypertension 4
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- PARP inhibition in cancer therapy 3
- Co-authors
- Godwin A. AnanabaJoseph U. IgietsemeCarolyn M. BlackFrancis O. EkoQing HeTerri MooreTesfaye BelayAllen Portner
- Cited by
- MicrobiologyImmunologyEpidemiology
- Partner nations
- United StatesAustriaIndia
In The Last Decade
Deborah Lyn
34 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 83
- Microbiology 503
- Immunology 533
- Epidemiology 444
- Endocrinology 52
- Infectious Diseases 121
Countries citing papers authored by Deborah Lyn
This map shows the geographic impact of Deborah Lyn'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 Deborah Lyn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deborah Lyn more than expected).
Fields of papers citing papers by Deborah Lyn
This network shows the impact of papers produced by Deborah Lyn. 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 Deborah Lyn. The network helps show where Deborah Lyn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Deborah Lyn, 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 | 2012 | 4 | |
| 2 | 2012 | 26 | |
| 3 | 2008 | 4 | |
| 4 | 2008 | 37 | |
| 5 | 2007 | 47 | |
| 6 | 2005 | 39 | |
| 7 | 2003 | 1 | |
| 8 | 2003 | 120 | |
| 9 | 2003 | 84 | |
| 10 | TSG101 expression in gynecological tumors: relationship to cyclin D1, cyclin E, p53 and p16 proteins. | 2001 | 4 |
| 11 | 2001 | 15 | |
| 12 | 2001 | 45 | |
| 13 | 2000 | 117 | |
| 14 | 1999 | 20 | |
| 15 | 1998 | 37 | |
| 16 | 1995 | 1 | |
| 17 | 1993 | 8 | |
| 18 | 1992 | 60 | |
| 19 | 1991 | 42 | |
| 20 | 1991 | 11 |
About Deborah Lyn
Deborah Lyn is a scholar working on Microbiology, Physiology, Immunology, Epidemiology and Behavioral Neuroscience, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Reproductive tract infections research (13 papers), Reproductive System and Pregnancy (7 papers), Calcium signaling and nucleotide metabolism (4 papers), Hormonal Regulation and Hypertension (4 papers), Cervical Cancer and HPV Research (3 papers), Hepatitis B Virus Studies (3 papers), PARP inhibition in cancer therapy (3 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Microbiology (503 citations), Immunology (533 citations), Epidemiology (444 citations), Endocrinology (52 citations) and Infectious Diseases (121 citations). Deborah Lyn has collaborated with scholars based in United States, Austria and India. Frequent co-authors include Godwin A. Ananaba, Joseph U. Igietseme, Carolyn M. Black, Francis O. Eko, Qing He, Terri Moore, Tesfaye Belay, Allen Portner, Nerimiah Emmett and Werner Lubitz. Their work appears in journals such as The Journal of Immunology, Endocrinology, Immunology, Journal of General Virology and Journal of the Renin-Angiotensin-Aldosterone System.
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.