Susan Smith
Impact in
- Aging top 0.5%
- Immunology top 1%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
-
- DNA Repair Mechanisms 25
- Genomics and Chromatin Dynamics 10
- Nuclear Structure and Function 10
- Physiology 37
- Telomeres, Telomerase, and Senescence 33
- Co-authors
- Bruce Stillman (3 shared papers)Titia de Lange (5 shared papers)Jasmin N. Dynek (5 shared papers)William Chang (6 shared papers)Susan J. Hsiao (5 shared papers)Robin E. Callard (12 shared papers)Peter C. L. Beverley (5 shared papers)Staci D. Bilbo (5 shared papers)
- Journals
- European Journal of Immunology (8 papers)The Journal of Immunology (5 papers)Molecular and Cellular Biology (5 papers)Genes & Development (4 papers)Nucleic Acids Research (4 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Susan Smith
111 papers receiving 8.8k citations
Susan Smith's Hit Papers
Peers
Comparison fields: 5 of 144
- Aging 306
- Immunology 1.9k
- Molecular Biology 5.1k
- Physiology 1.8k
- Oncology 1.7k
Countries citing papers authored by Susan Smith
This map shows the geographic impact of Susan Smith'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 Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan Smith more than expected).
Fields of papers citing papers by Susan Smith
This network shows the impact of papers produced by Susan Smith. 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 Smith. The network helps show where Susan Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Susan Smith, 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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Purification and characterization of CAF-I, a human cell factor required for chromatin assembly during DNA replication in vitro Hit paper breakdown → | 1989 | 564 |
| 2 | Functional subsets of human helper-inducer cells defined by a new monoclonal antibody, UCHL1. | 1986 | 480 |
| 3 | 1987 | 394 | |
| 4 | 2000 | 334 | |
| 5 | 2001 | 275 | |
| 6 | 2002 | 258 | |
| 7 | 1991 | 256 | |
| 8 | 2011 | 224 | |
| 9 | 2011 | 220 | |
| 10 | 2004 | 220 | |
| 11 | 2004 | 216 | |
| 12 | 1986 | 215 | |
| 13 | 2003 | 209 | |
| 14 | 2007 | 203 | |
| 15 | 2012 | 194 | |
| 16 | 2009 | 192 | |
| 17 | 2003 | 175 | |
| 18 | 1999 | 172 | |
| 19 | 2000 | 147 | |
| 20 | 2011 | 145 |
About Susan Smith
Susan Smith is a scholar working on Molecular Biology, Physiology, Immunology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 117 papers that have together received 8.9k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (33 papers), DNA Repair Mechanisms (25 papers), Immune Cell Function and Interaction (19 papers), T-cell and B-cell Immunology (17 papers), Genomics and Chromatin Dynamics (10 papers), Nuclear Structure and Function (10 papers), Immunotherapy and Immune Responses (9 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Aging (306 citations), Immunology (1.9k citations), Molecular Biology (5.1k citations), Physiology (1.8k citations) and Oncology (1.7k citations). Susan Smith has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Bruce Stillman, Titia de Lange, Jasmin N. Dynek, William Chang, Susan J. Hsiao, Robin E. Callard, Peter C. L. Beverley, Staci D. Bilbo, Michael P. Cancro and Sı́lvia Canudas. Their work appears in journals such as European Journal of Immunology, The Journal of Immunology, Molecular and Cellular Biology, Genes & Development and Nucleic Acids Research.
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.