Olive S. Pettengill

2.4k total citations
63 papers, 2.0k citations indexed

About

Olive S. Pettengill is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Olive S. Pettengill has authored 63 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Oncology, 29 papers in Molecular Biology and 9 papers in Surgery. Recurrent topics in Olive S. Pettengill's work include Lung Cancer Research Studies (16 papers), Neuroendocrine Tumor Research Advances (9 papers) and Glycosylation and Glycoproteins Research (7 papers). Olive S. Pettengill is often cited by papers focused on Lung Cancer Research Studies (16 papers), Neuroendocrine Tumor Research Advances (9 papers) and Glycosylation and Glycoproteins Research (7 papers). Olive S. Pettengill collaborates with scholars based in United States, United Kingdom and Canada. Olive S. Pettengill's co-authors include George D. Sorenson, L. Herbert Maurer, Doris H. Wurster‐Hill, C. C. Cate, Truls Brinck‐Johnsen, Hiltrud Brauch, Bernard J. Poiesz, Stephen L. Graziano, Bruce E. Johnson and Walter W. Noll and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Olive S. Pettengill

62 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Olive S. Pettengill United States 24 1.1k 758 374 316 287 63 2.0k
A.Y. Sakaguchi United States 23 1.1k 1.1× 504 0.7× 125 0.3× 84 0.3× 460 1.6× 39 1.8k
Kumi Kawai Japan 22 1.0k 1.0× 350 0.5× 179 0.5× 202 0.6× 218 0.8× 36 1.8k
Ann M. Pace United States 6 977 0.9× 269 0.4× 167 0.4× 144 0.5× 174 0.6× 6 1.8k
David J. Izon Australia 25 2.1k 2.0× 598 0.8× 187 0.5× 104 0.3× 222 0.8× 49 3.7k
J. M. Bruner United States 26 1.0k 1.0× 600 0.8× 291 0.8× 53 0.2× 162 0.6× 48 2.5k
J A Escobedo United States 20 1.8k 1.8× 455 0.6× 90 0.2× 135 0.4× 270 0.9× 28 2.6k
Nobuyuki Miyajima Japan 9 1.1k 1.0× 910 1.2× 65 0.2× 134 0.4× 265 0.9× 12 1.9k
Francesco Trapasso United States 33 2.6k 2.4× 798 1.1× 230 0.6× 389 1.2× 1.5k 5.2× 40 3.5k
Arthur Gutierrez‐Hartmann United States 27 1.8k 1.7× 419 0.6× 153 0.4× 120 0.4× 421 1.5× 79 2.8k
D. Stavrou Germany 24 1.2k 1.1× 243 0.3× 333 0.9× 140 0.4× 63 0.2× 90 2.3k

Countries citing papers authored by Olive S. Pettengill

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Adell, Teresa, et al.. (2000). Role of the basic helix-loop-helix transcription factor p48 in the differentiation phenotype of exocrine pancreas cancer cells.. PubMed. 11(3). 137–47. 36 indexed citations
2.
Pettengill, Olive S., R A Faris, R. Bell, Elna T. Kuhlmann, & Daniel S. Longnecker. (1993). Derivation of ductlike cell lines from a transplantable acinar cell carcinoma of the rat pancreas.. PubMed. 143(1). 292–303. 47 indexed citations
4.
Graziano, Stephen L., Andrea M. A. Pfeifer, Joseph R. Testa, et al.. (1991). Involvement of the RAFI locus, at band 3p25, in the 3p deletion of small‐cell lung cancer. Genes Chromosomes and Cancer. 3(4). 283–293. 29 indexed citations
5.
Brauch, Hiltrud, Kálmán Tory, Adi F. Gazdar, et al.. (1990). Molecular mapping of deletion sites in the short arm of chromosome 3 in human lung cancer. Genes Chromosomes and Cancer. 1(3). 240–246. 83 indexed citations
6.
Brauch, Hiltrud, Bruce E. Johnson, J. Hovis, et al.. (1987). Molecular Analysis of the Short Arm of Chromosome 3 in Small-Cell and Non-Small-Cell Carcinoma of the Lung. New England Journal of Medicine. 317(18). 1109–1113. 287 indexed citations
7.
Wurster‐Hill, Doris H., et al.. (1984). Cytogenetics of small cell carcinoma of the lung. Cancer Genetics and Cytogenetics. 13(4). 303–330. 71 indexed citations
8.
McCann, Frances V., et al.. (1981). Calcium Spike Electrogenesis and Other Electrical Activity in Continuously Cultured Small Cell Carcinoma of the Lung. Science. 212(4499). 1155–1157. 60 indexed citations
9.
Pettengill, Olive S., George D. Sorenson, Doris H. Wurster‐Hill, et al.. (1980). Isolation and growth characteristics of continuous cell lines from small-cell carcinoma of the lung. Cancer. 45(5). 906–918. 156 indexed citations
10.
Bertagna, Xavier, Wendell E. Nicholson, KOSHI TANAKA, et al.. (1979). Ectopic Production of ACTH, Lipotropin, and β-Endorphin by Human Cancer Cells. Structurally Related Tumor Markers. Recent results in cancer research. 67. 16–25. 5 indexed citations
11.
Pettengill, Olive S., et al.. (1978). Loss of oncogenicity and concomitant increased immunogenicity of murine plasmacytoma cell lines.. PubMed. 90(3). 565–82. 6 indexed citations
12.
Wurster‐Hill, Doris H., et al.. (1974). Giemsa-banded chromosomes of mouse myeloma in relationship to oncogenicity. Cytogenetic and Genome Research. 13(3). 279–309. 16 indexed citations
13.
Pettengill, Olive S., et al.. (1972). Growth characteristics of long-term cultures of mouse myeloma cells. Experimental Cell Research. 70(1). 65–72. 4 indexed citations
14.
Sorenson, George D. & Olive S. Pettengill. (1972). Morphologic and functional characteristics of long-term cultures of murine myeloma cells.. PubMed. 67(2). 241–64. 4 indexed citations
15.
Pettengill, Olive S., et al.. (1969). Electron microscopy and electron microscopic autoradiography of splenic cell cultures from mice with amyloidosis.. PubMed. 20(3). 234–42. 25 indexed citations
16.
Hartman, Boyd K., Olive S. Pettengill, & George D. Sorenson. (1969). Chloramphenicol: Effects on Mouse Myeloma Cells in Tissue Culture. Science. 165(3890). 297–298. 7 indexed citations
17.
Carey, F. J. & Olive S. Pettengill. (1967). A TIME-LAPSE STUDY OF EFFECTS OF ANTICELLULAR ANTIBODY ON MEMBRANE MOBILITY AND PHAGOCYTIC ACTIVITY OF HELA CELLS. The Journal of Cell Biology. 33(3). 709–712. 13 indexed citations
18.
Pettengill, Olive S., et al.. (1966). Murine myeloma in tissue culture. II. In vitro tumor production with cultured cells.. PubMed. 82(6). 583–9. 1 indexed citations
19.
Prockop, Darwin J., Olive S. Pettengill, & Howard Holtzer. (1964). Incorporation of sulfate and the synthesis of collagen by cultures of embryonic chondrocytes. PubMed. 83(2). 189–196. 33 indexed citations
20.
Pettengill, Olive S. & W. H. Fishman. (1962). Influence of testosterone on glycine incorporation into mouse kidney β-glucuronidase. Experimental Cell Research. 28(2). 248–253. 11 indexed citations

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.

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