Susan C. Aitken
- Genetics top 5%
- Oncology top 10%
- Infectious Diseases top 5%
- Molecular Biology
- Epidemiology top 10%
- Co-authors
- Marc E. LippmanKaren HuffKerstin Klipstein‐GrobuschJoyce L. BrowneSigrid C. J. M. VervoortAudrey BarlockJoseph C. AllegraRichard H. Simon
- Topics
- HIV Research and Treatment (9 papers)HIV/AIDS Research and Interventions (9 papers)Estrogen and related hormone effects (9 papers)
- Cited by
- VirologyGeneticsInfectious Diseases
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Susan C. Aitken
30 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 107
- Genetics 587
- Oncology 426
- Infectious Diseases 364
- Molecular Biology 344
- Epidemiology 310
Countries citing papers authored by Susan C. Aitken
This map shows the geographic impact of Susan C. Aitken'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 C. Aitken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan C. Aitken more than expected).
Fields of papers citing papers by Susan C. Aitken
This network shows the impact of papers produced by Susan C. Aitken. 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 C. Aitken. The network helps show where Susan C. Aitken may publish in the future.
Co-authorship network of co-authors of Susan C. Aitken
This figure shows the co-authorship network connecting the top 25 collaborators of Susan C. Aitken. A scholar is included among the top collaborators of Susan C. Aitken based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Susan C. Aitken. Susan C. Aitken is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 22 | |
| 3 | 28 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 11 | |
| 7 | 7 | |
| 8 | 34 | |
| 9 | 95 | |
| 10 | 52 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 0 | |
| 14 | 21 | |
| 15 | 7 | |
| 16 | 15 | |
| 17 | Influence of cell proliferation and cell cycle phase on expression of estrogen receptor in MCF-7 breast cancer cells. | 113 |
| 18 | 65 | |
| 19 | 118 | |
| 20 | Relationship between the progesterone, androgen, and glucocorticoid receptor and response rate to endocrine therapy in metastatic breast cancer. | 33 |
About Susan C. Aitken
Susan C. Aitken is a scholar working on Virology, Infectious Diseases and Physiology, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), HIV/AIDS Research and Interventions (9 papers) and Estrogen and related hormone effects (9 papers). The work is most often cited by research in Virology (156 citations), Genetics (587 citations) and Infectious Diseases (364 citations). Susan C. Aitken has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Marc E. Lippman, Karen Huff, Kerstin Klipstein‐Grobusch, Joyce L. Browne, Sigrid C. J. M. Vervoort, Audrey Barlock, Joseph C. Allegra, Richard H. Simon, Linda K. Green and Robert Warren. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and PLoS ONE.
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.