Olive S. Pettengill
- Molecular Biology top 10%
- Oncology top 5%
- Epidemiology top 10%
- Cellular and Molecular Neuroscience top 5%
- Genetics top 10%
- Co-authors
- George D. SorensonL. Herbert MaurerDoris H. Wurster‐HillC. C. CateTruls Brinck‐JohnsenHiltrud BrauchBruce E. JohnsonBernard J. Poiesz
- Topics
- Lung Cancer Research Studies (16 papers)Neuroendocrine Tumor Research Advances (9 papers)Glycosylation and Glycoproteins Research (7 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Olive S. Pettengill
62 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 1.1k
- Oncology 758
- Epidemiology 374
- Cellular and Molecular Neuroscience 316
- Genetics 287
Countries citing papers authored by Olive S. Pettengill
This map shows the geographic impact of Olive S. Pettengill'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 Olive S. Pettengill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olive S. Pettengill more than expected).
Fields of papers citing papers by Olive S. Pettengill
This network shows the impact of papers produced by Olive S. Pettengill. 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 Olive S. Pettengill. The network helps show where Olive S. Pettengill may publish in the future.
Co-authorship network of co-authors of Olive S. Pettengill
This figure shows the co-authorship network connecting the top 25 collaborators of Olive S. Pettengill. A scholar is included among the top collaborators of Olive S. Pettengill 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 Olive S. Pettengill. Olive S. Pettengill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 11 | |
| 4 | Derivation of ductlike cell lines from a transplantable acinar cell carcinoma of the rat pancreas. | 47 |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 29 | |
| 8 | 83 | |
| 9 | 18 | |
| 10 | 287 | |
| 11 | 85 | |
| 12 | 60 | |
| 13 | 156 | |
| 14 | Loss of oncogenicity and concomitant increased immunogenicity of murine plasmacytoma cell lines. | 6 |
| 15 | 16 | |
| 16 | Morphologic and functional characteristics of long-term cultures of murine myeloma cells. | 4 |
| 17 | 7 | |
| 18 | Murine myeloma in tissue culture. II. In vitro tumor production with cultured cells. | 1 |
| 19 | 33 | |
| 20 | 11 |
About Olive S. Pettengill
Olive S. Pettengill is a scholar working on Oncology, Hematology and Molecular Biology, having authored 63 papers that have together received 2.0k indexed citations. Recurring topics across this work include Lung Cancer Research Studies (16 papers), Neuroendocrine Tumor Research Advances (9 papers) and Glycosylation and Glycoproteins Research (7 papers). The work is most often cited by research in Oncology (758 citations), Cancer Research (264 citations) and Cellular and Molecular Neuroscience (316 citations). Olive S. Pettengill has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include George D. Sorenson, L. Herbert Maurer, Doris H. Wurster‐Hill, C. C. Cate, Truls Brinck‐Johnsen, Hiltrud Brauch, Bruce E. Johnson, Bernard J. Poiesz, Stephen L. Graziano and Walter W. Noll. Their work appears in journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.