Sharon L. Aukerman
- Molecular Biology top 5%
- Oncology top 5%
- Immunology top 5%
- Genetics top 10%
- Cancer Research top 10%
- Co-authors
- Glenn F. PierceJanet E. PriceCarla HeiseEvelyn N. GarrettW Wiktor-JędrzejczakIsaiah J. FidlerCharles F. MorrisPaul W. Hollenbach
- Topics
- Monoclonal and Polyclonal Antibodies Research (7 papers)Fibroblast Growth Factor Research (6 papers)Virus-based gene therapy research (5 papers)
- Cited by
- OncologyHematologyImmunology
- Partner nations
- United StatesPolandAustralia
In The Last Decade
Sharon L. Aukerman
51 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 1.4k
- Oncology 689
- Immunology 505
- Genetics 337
- Cancer Research 303
Countries citing papers authored by Sharon L. Aukerman
This map shows the geographic impact of Sharon L. Aukerman'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 Sharon L. Aukerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharon L. Aukerman more than expected).
Fields of papers citing papers by Sharon L. Aukerman
This network shows the impact of papers produced by Sharon L. Aukerman. 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 Sharon L. Aukerman. The network helps show where Sharon L. Aukerman may publish in the future.
Co-authorship network of co-authors of Sharon L. Aukerman
This figure shows the co-authorship network connecting the top 25 collaborators of Sharon L. Aukerman. A scholar is included among the top collaborators of Sharon L. Aukerman 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 Sharon L. Aukerman. Sharon L. Aukerman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 9 | |
| 3 | 8 | |
| 4 | 288 | |
| 5 | 22 | |
| 6 | 80 | |
| 7 | 47 | |
| 8 | Fibroblast growth factor 2 retargeted adenovirus has redirected cellular tropism: evidence for reduced toxicity and enhanced antitumor activity in mice. | 85 |
| 9 | 71 | |
| 10 | 96 | |
| 11 | 242 | |
| 12 | 42 | |
| 13 | 6 | |
| 14 | 60 | |
| 15 | Correction by CSF-1 of defects in the osteopetrotic op/op mouse suggests local, developmental, and humoral requirements for this growth factor. | 161 |
| 16 | 83 | |
| 17 | 21 | |
| 18 | Contrast-enhanced magnetic resonance imaging of tumor-bearing mice treated with human recombinant tumor necrosis factor alpha. | 44 |
| 19 | 30 | |
| 20 | Metastatic potential of cloned murine melanoma cells transfected with activated c-Ha-ras. | 22 |
About Sharon L. Aukerman
Sharon L. Aukerman is a scholar working on Biotechnology, Oncology and Immunology, having authored 51 papers that have together received 2.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Fibroblast Growth Factor Research (6 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Oncology (689 citations), Hematology (279 citations) and Immunology (505 citations). Sharon L. Aukerman has collaborated with scholars based in United States, Poland and Australia. Frequent co-authors include Glenn F. Pierce, Janet E. Price, Carla Heise, Evelyn N. Garrett, W Wiktor-Jędrzejczak, Isaiah J. Fidler, Charles F. Morris, Paul W. Hollenbach, Helen Brady and Aaron Nguyen. Their work appears in journals such as Journal of Clinical Investigation, Blood 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.