Susan Specht
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Liver Disease and Transplantation
- Transplantation top 10%
Papers in
-
- DNA Repair Mechanisms 2
- DNA and Nucleic Acid Chemistry 2
- Cancer therapeutics and mechanisms 2
- Oncology 6
- Colorectal Cancer Treatments and Studies 2
- Co-authors
- John G. Lunz (14 shared papers)Anthony J. Demetris (11 shared papers)Kumiko Isse (10 shared papers)Noriko Murase (6 shared papers)Yoshiaki Mizuguchi (6 shared papers)Natasha Corbitt (5 shared papers)Angus W. Thomson (3 shared papers)Isao Nozaki (4 shared papers)
- Journals
- Hepatology (4 papers)Current Microbiology (2 papers)Journal of Hepatology (2 papers)American Journal Of Pathology (2 papers)Anti-Cancer Drugs (2 papers)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
Susan Specht
28 papers receiving 737 citations
Peers
Comparison fields: 5 of 84
- Hepatology 108
- Transplantation 28
- Immunology 173
- Cancer Research 85
- Oncology 100
Countries citing papers authored by Susan Specht
This map shows the geographic impact of Susan Specht'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 Specht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan Specht more than expected).
Fields of papers citing papers by Susan Specht
This network shows the impact of papers produced by Susan Specht. 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 Specht. The network helps show where Susan Specht may publish in the future.
Co-authors
The 25 scholars most cited alongside Susan Specht, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 103 | |
| 2 | 2012 | 72 | |
| 3 | 2012 | 47 | |
| 4 | 2007 | 47 | |
| 5 | 2004 | 41 | |
| 6 | 2004 | 40 | |
| 7 | 2009 | 38 | |
| 8 | 2012 | 38 | |
| 9 | 2007 | 35 | |
| 10 | 2012 | 28 | |
| 11 | 2010 | 28 | |
| 12 | 2006 | 26 | |
| 13 | 1984 | 24 | |
| 14 | 1997 | 23 | |
| 15 | 2013 | 22 | |
| 16 | 1995 | 18 | |
| 17 | 2006 | 16 | |
| 18 | p53 protein expression in human breast carcinoma: lack of prognostic potential for recurrence of the disease. | 1996 | 15 |
| 19 | 2000 | 14 | |
| 20 | 1985 | 13 |
About Susan Specht
Susan Specht is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Immunology, having authored 29 papers that have together received 749 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (4 papers), Organ Transplantation Techniques and Outcomes (2 papers), DNA Repair Mechanisms (2 papers), T-cell and B-cell Immunology (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Immunotherapy and Immune Responses (2 papers), DNA and Nucleic Acid Chemistry (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Hepatology (108 citations), Transplantation (28 citations), Immunology (173 citations), Cancer Research (85 citations) and Oncology (100 citations). Susan Specht has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include John G. Lunz, Anthony J. Demetris, Kumiko Isse, Noriko Murase, Yoshiaki Mizuguchi, Natasha Corbitt, Angus W. Thomson, Isao Nozaki, Alison Logar and Zhiliang Wang. Their work appears in journals such as Hepatology, Current Microbiology, Journal of Hepatology, American Journal Of Pathology and Anti-Cancer Drugs.
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.