Scott D. Cramer

4.5k total citations
72 papers, 3.3k citations indexed

About

Scott D. Cramer is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Scott D. Cramer has authored 72 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Pulmonary and Respiratory Medicine, 31 papers in Molecular Biology and 16 papers in Oncology. Recurrent topics in Scott D. Cramer's work include Prostate Cancer Treatment and Research (25 papers), Vitamin D Research Studies (9 papers) and Prostate Cancer Diagnosis and Treatment (9 papers). Scott D. Cramer is often cited by papers focused on Prostate Cancer Treatment and Research (25 papers), Vitamin D Research Studies (9 papers) and Prostate Cancer Diagnosis and Treatment (9 papers). Scott D. Cramer collaborates with scholars based in United States, United Kingdom and Australia. Scott D. Cramer's co-authors include Donna M. Peehl, Wendy W. Barclay, Ralph D. Woodruff, Jianfeng Xu, Lina Romero, Guangchao Sui, Anuradha Rao, Andrew Thorburn, Zuxiong Chen and M. Craig Hall and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Scott D. Cramer

70 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott D. Cramer United States 35 1.6k 924 788 677 504 72 3.3k
Federica Gemignani Italy 37 2.3k 1.4× 523 0.6× 1.2k 1.5× 969 1.4× 477 0.9× 111 4.1k
Francesca Pentimalli Italy 38 2.3k 1.4× 429 0.5× 922 1.2× 1.1k 1.6× 444 0.9× 120 3.8k
Adrie van Bokhoven United States 35 2.5k 1.5× 1.6k 1.7× 1.1k 1.3× 992 1.5× 356 0.7× 74 4.6k
Wei Yu China 34 2.5k 1.5× 491 0.5× 764 1.0× 829 1.2× 281 0.6× 132 4.2k
Hiroaki Kanda Japan 22 2.0k 1.3× 735 0.8× 624 0.8× 1.2k 1.7× 207 0.4× 98 3.9k
Maréne Landström Sweden 32 3.2k 2.0× 553 0.6× 1.0k 1.3× 1.3k 1.9× 437 0.9× 81 4.7k
William E. Friedrichs United States 27 1.5k 1.0× 394 0.4× 470 0.6× 724 1.1× 604 1.2× 46 3.0k
Charalambos Solomides United States 33 1.1k 0.7× 746 0.8× 598 0.8× 1.0k 1.5× 188 0.4× 89 3.2k
Misako Sato Japan 28 1.9k 1.2× 463 0.5× 391 0.5× 584 0.9× 356 0.7× 59 3.5k
Sara Teresinha Olalla Saad Brazil 34 1.7k 1.1× 425 0.5× 358 0.5× 419 0.6× 249 0.5× 298 4.5k

Countries citing papers authored by Scott D. Cramer

Since Specialization
Citations

This map shows the geographic impact of Scott D. Cramer'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 Scott D. Cramer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott D. Cramer more than expected).

Fields of papers citing papers by Scott D. Cramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott D. Cramer. 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 Scott D. Cramer. The network helps show where Scott D. Cramer may publish in the future.

Co-authorship network of co-authors of Scott D. Cramer

This figure shows the co-authorship network connecting the top 25 collaborators of Scott D. Cramer. A scholar is included among the top collaborators of Scott D. Cramer 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 Scott D. Cramer. Scott D. Cramer 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
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Romero, Lina, et al.. (2022). MIRO2 Regulates Prostate Cancer Cell Growth via GCN1-Dependent Stress Signaling. Molecular Cancer Research. 20(4). 607–621. 11 indexed citations
4.
Laajala, Teemu D., et al.. (2021). Androgen Receptor Signaling in Prostate Cancer Genomic Subtypes. Cancers. 13(13). 3272–3272. 15 indexed citations
5.
Washino, Satoshi, Lina Romero, Angela M. Ohm, et al.. (2019). Loss of MAP3K7 Sensitizes Prostate Cancer Cells to CDK1/2 Inhibition and DNA Damage by Disrupting Homologous Recombination. Molecular Cancer Research. 17(10). 1985–1998. 16 indexed citations
6.
Ormond, D. Ryan, et al.. (2019). Prostatic adenocarcinoma CNS parenchymal and dural metastases: alterations in ERG, CHD1 and MAP3K7 expression. Journal of Neuro-Oncology. 142(2). 319–325. 13 indexed citations
7.
Schlaepfer, Isabel R., Leah Rider, Lindsey Ulkus Rodrigues, et al.. (2014). Lipid Catabolism via CPT1 as a Therapeutic Target for Prostate Cancer. Molecular Cancer Therapeutics. 13(10). 2361–2371. 249 indexed citations
8.
Ting, Harold J., Gagan Deep, Anil Jain, et al.. (2014). Silibinin prevents prostate cancer cell‐mediated differentiation of naïve fibroblasts into cancer‐associated fibroblast phenotype by targeting TGF β2. Molecular Carcinogenesis. 54(9). 730–741. 39 indexed citations
9.
Wu, Min, Lihong Shi, Lina Romero, et al.. (2012). Suppression of Tak1 Promotes Prostate Tumorigenesis. Cancer Research. 72(11). 2833–2843. 45 indexed citations
10.
Maund, Sophia L., Wendy W. Barclay, Laura D. Hover, et al.. (2011). Interleukin-1α Mediates the Antiproliferative Effects of 1,25-Dihydroxyvitamin D3 in Prostate Progenitor/Stem Cells. Cancer Research. 71(15). 5276–5286. 45 indexed citations
11.
Salmanzadeh, Alireza, Lina Romero, Hadi Shafiee, et al.. (2011). Isolation of prostate tumor initiating cells (TICs) through their dielectrophoretic signature. Lab on a Chip. 12(1). 182–189. 103 indexed citations
12.
Maund, Sophia L. & Scott D. Cramer. (2010). The Tissue-Specific Stem Cell as a Target for Chemoprevention. Stem Cell Reviews and Reports. 7(2). 307–314. 11 indexed citations
13.
Cao, Paul D., Zhiyong Deng, Meimei Wan, et al.. (2010). MicroRNA-101 negatively regulates Ezh2 and its expression is modulated by androgen receptor and HIF-1α/HIF-1β. Molecular Cancer. 9(1). 108–108. 203 indexed citations
14.
Knight, John, Ross P. Holmes, Dawn S. Milliner, Carla G. Monico, & Scott D. Cramer. (2006). Glyoxylate reductase activity in blood mononuclear cells and the diagnosis of primary hyperoxaluria type 2. Nephrology Dialysis Transplantation. 21(8). 2292–2295. 6 indexed citations
15.
O’Flaherty, Joseph T., LeAnn C. Rogers, Christian M. Paumi, et al.. (2005). 5-Oxo-ETE analogs and the proliferation of cancer cells. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1736(3). 228–236. 55 indexed citations
16.
Ahmed, Maryam, Scott D. Cramer, & Douglas S. Lyles. (2004). Sensitivity of prostate tumors to wild type and M protein mutant vesicular stomatitis viruses. Virology. 330(1). 34–49. 106 indexed citations
17.
Barclay, Wendy W. & Scott D. Cramer. (2004). Culture of mouse prostatic epithelial cells from genetically engineered mice. The Prostate. 63(3). 291–298. 20 indexed citations
18.
O’Flaherty, Joseph T., LeAnn C. Rogers, Brad A. Chadwell, et al.. (2002). 5(S)-Hydroxy-6,8,11,14-E,Z,Z,Z-eicosatetraenoate stimulates PC3 cell signaling and growth by a receptor-dependent mechanism.. PubMed. 62(23). 6817–9. 26 indexed citations
19.
Rao, Anuradha, et al.. (2002). Genistein and Vitamin D Synergistically Inhibit Human Prostatic Epithelial Cell Growth. Journal of Nutrition. 132(10). 3191–3194. 55 indexed citations
20.
Peehl, Donna M., et al.. (1997). Parathyroid hormone-related protein is not an autocrine growth factor for normal prostatic epithelial cells. The Prostate. 31(1). 47–52. 14 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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