Pamela Boimel

837 total citations
24 papers, 653 citations indexed

About

Pamela Boimel is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Pamela Boimel has authored 24 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Molecular Biology. Recurrent topics in Pamela Boimel's work include Radiomics and Machine Learning in Medical Imaging (4 papers), HIV Research and Treatment (3 papers) and Colorectal Cancer Screening and Detection (3 papers). Pamela Boimel is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), HIV Research and Treatment (3 papers) and Colorectal Cancer Screening and Detection (3 papers). Pamela Boimel collaborates with scholars based in United States, Switzerland and Canada. Pamela Boimel's co-authors include Jeffrey E. Segall, Anna Marie Skalka, Richard A. Katz, James Greger, Edgar Ben‐Josef, Salvatore J. Coniglio, Jeffrey Wyckoff, James Janopaul‐Naylor, Т. А. Смирнова and John S. Condeelis and has published in prestigious journals such as Oncogene, Journal of Virology and Genetics.

In The Last Decade

Pamela Boimel

23 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pamela Boimel United States 15 274 182 134 91 83 24 653
Alexei L. Krasnoselsky United States 13 591 2.2× 153 0.8× 146 1.1× 76 0.8× 168 2.0× 15 1.0k
Giuseppe Stragliotto Sweden 17 181 0.7× 204 1.1× 84 0.6× 38 0.4× 213 2.6× 32 873
Martha R. Neagu United States 10 396 1.4× 110 0.6× 80 0.6× 56 0.6× 239 2.9× 18 772
Carl‐Magnus Högerkorp Sweden 11 264 1.0× 105 0.6× 82 0.6× 45 0.5× 309 3.7× 16 662
Zhonghao Wang China 19 334 1.2× 123 0.7× 209 1.6× 50 0.5× 86 1.0× 75 928
Yasushi Yoshimura Japan 16 378 1.4× 219 1.2× 116 0.9× 20 0.2× 272 3.3× 44 846
Rachael Bashford-Rogers United Kingdom 19 393 1.4× 235 1.3× 169 1.3× 65 0.7× 540 6.5× 37 1.1k
Xiaorong Hou China 17 170 0.6× 115 0.6× 109 0.8× 29 0.3× 22 0.3× 86 909
Jason M. Link United States 15 377 1.4× 117 0.6× 268 2.0× 73 0.8× 353 4.3× 32 791
Takayuki Kobayashi Japan 15 194 0.7× 200 1.1× 98 0.7× 58 0.6× 55 0.7× 65 616

Countries citing papers authored by Pamela Boimel

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Boimel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pamela Boimel. 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 Pamela Boimel. The network helps show where Pamela Boimel may publish in the future.

Co-authorship network of co-authors of Pamela Boimel

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela Boimel. A scholar is included among the top collaborators of Pamela Boimel 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 Pamela Boimel. Pamela Boimel 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.
Liu, Hangfan, Hongming Li, Mohamad Habes, et al.. (2020). Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer Prognosis. IEEE Transactions on Biomedical Engineering. 67(10). 2735–2744. 12 indexed citations
2.
Li, Hongming, Pamela Boimel, James Janopaul‐Naylor, et al.. (2019). Deep Convolutional Neural Networks For Imaging Data Based Survival Analysis Of Rectal Cancer. PubMed. 2019. 846–849. 38 indexed citations
3.
Liu, Hangfan, Hongming Li, Pamela Boimel, et al.. (2019). Collaborative Clustering Of Subjects And Radiomic Features For Predicting Clinical Outcomes Of Rectal Cancer Patients. PubMed. 50. 1303–1306. 8 indexed citations
4.
Boimel, Pamela, Kim A. Reiss, Theodore S. Hong, Mary Feng, & Edgar Ben‐Josef. (2018). Cholangiocarcinoma and Gallbladder Cases: An Expert Panel Case-Based Discussion. Seminars in Radiation Oncology. 28(4). 351–361. 4 indexed citations
5.
Men, Kuo, Pamela Boimel, James Janopaul‐Naylor, et al.. (2018). Cascaded atrous convolution and spatial pyramid pooling for more accurate tumor target segmentation for rectal cancer radiotherapy. Physics in Medicine and Biology. 63(18). 185016–185016. 49 indexed citations
6.
Zhong, Haoyu, et al.. (2017). Deep Convolutional Neural Networks for Imaging Based Survival Analysis of Rectal Cancer Patients. International Journal of Radiation Oncology*Biology*Physics. 99(2). S183–S183. 9 indexed citations
7.
Dutta, Sunil W., Daniel M. Trifiletti, Surbhi Grover, Pamela Boimel, & Timothy N. Showalter. (2017). Management of elderly patients with early-stage medically inoperable endometrial cancer: Systematic review and National Cancer Database analysis. Brachytherapy. 16(3). 526–533. 22 indexed citations
8.
Dutta, Sunil W., Daniel M. Trifiletti, Surbhi Grover, Pamela Boimel, & Timothy N. Showalter. (2017). Management of Elderly Patients with Early Stage Medically Inoperable Endometrial Cancer: Systematic Review and National Cancer Database Analysis. Brachytherapy. 16(3). S16–S16. 2 indexed citations
9.
Boimel, Pamela, Abigail T. Berman, Jonathan Li, et al.. (2017). Proton beam reirradiation for locally recurrent pancreatic adenocarcinoma. Journal of Gastrointestinal Oncology. 8(4). 665–674. 19 indexed citations
10.
Boimel, Pamela & Aruna Turaka. (2013). Metastatic small-cell lung carcinoma to the thyroid gland: a case report. Journal of Radiotherapy in Practice. 13(2). 236–239.
11.
Boimel, Pamela, Т. А. Смирнова, Zhen Ni Zhou, et al.. (2012). Contribution of CXCL12 secretion to invasion of breast cancer cells. Breast Cancer Research. 14(1). R23–R23. 95 indexed citations
12.
Смирнова, Т. А., Rory Flinn, Jeffrey Wyckoff, et al.. (2011). Phosphoinositide 3-kinase signaling is critical for ErbB3-driven breast cancer cell motility and metastasis. Oncogene. 31(6). 706–715. 53 indexed citations
13.
Boimel, Pamela, Cristian D. Cruz, & Jeffrey E. Segall. (2011). A functional in vivo screen for regulators of tumor progression identifies HOXB2 as a regulator of tumor growth in breast cancer. Genomics. 98(3). 164–172. 28 indexed citations
14.
Zhou, Zhen, Pamela Boimel, & Jeffrey E. Segall. (2011). Tumor-stroma: In vivo assays and intravital imaging to study cell migration and metastasis. Drug Discovery Today Disease Models. 8(2-3). 95–102. 17 indexed citations
15.
Kedrin, Dmitriy, Jeffrey Wyckoff, Pamela Boimel, et al.. (2009). ERBB1 and ERBB2 Have Distinct Functions in Tumor Cell Invasion and Intravasation. Clinical Cancer Research. 15(11). 3733–3739. 39 indexed citations
16.
17.
Boimel, Pamela, et al.. (2007). Sympathomimetic amine therapy may improve refractory gastroparesis similar to its effect on chronic pelvic pain--case report.. PubMed. 34(3). 185–7. 14 indexed citations
18.
Poleshko, Andrey, Ivan Palagin, Rugang Zhang, et al.. (2007). Identification of Cellular Proteins That Maintain Retroviral Epigenetic Silencing: Evidence for an Antiviral Response. Journal of Virology. 82(5). 2313–2323. 33 indexed citations
19.
20.
Katz, Richard A., et al.. (2002). Transduction of Interphase Cells by Avian Sarcoma Virus. Journal of Virology. 76(11). 5422–5434. 59 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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