Ryan W. Askeland

1.0k total citations
29 papers, 771 citations indexed

About

Ryan W. Askeland is a scholar working on Oncology, Molecular Biology and Epidemiology. According to data from OpenAlex, Ryan W. Askeland has authored 29 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 13 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Ryan W. Askeland's work include Neuroendocrine Tumor Research Advances (4 papers), Epigenetics and DNA Methylation (4 papers) and Neuroblastoma Research and Treatments (4 papers). Ryan W. Askeland is often cited by papers focused on Neuroendocrine Tumor Research Advances (4 papers), Epigenetics and DNA Methylation (4 papers) and Neuroblastoma Research and Treatments (4 papers). Ryan W. Askeland collaborates with scholars based in United States, Canada and China. Ryan W. Askeland's co-authors include Sonia L. Sugg, Yunxia O’Malley, Ling Fang, William W. Du, Chun Peng, Burton B. Yang, Zhaoqun Deng, Biswanath Maity, Rory A. Fisher and Matthew P. Fitzgerald and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Oncogene.

In The Last Decade

Ryan W. Askeland

28 papers receiving 764 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan W. Askeland United States 15 486 307 160 87 64 29 771
Hui Pang China 15 382 0.8× 279 0.9× 241 1.5× 79 0.9× 42 0.7× 37 713
Haishan Zhao China 17 527 1.1× 305 1.0× 300 1.9× 74 0.9× 42 0.7× 31 790
Ting‐Ying Fu Taiwan 17 365 0.8× 147 0.5× 167 1.0× 97 1.1× 68 1.1× 32 679
Qiumeng Yang China 11 349 0.7× 209 0.7× 125 0.8× 104 1.2× 96 1.5× 17 598
Yukiko Shibahara Japan 16 348 0.7× 227 0.7× 190 1.2× 105 1.2× 73 1.1× 40 678
Shengsheng Yang China 17 396 0.8× 312 1.0× 78 0.5× 93 1.1× 104 1.6× 34 734
Renata Binato Brazil 19 532 1.1× 168 0.5× 205 1.3× 68 0.8× 98 1.5× 60 876
Shifu Tang China 13 505 1.0× 382 1.2× 215 1.3× 48 0.6× 58 0.9× 25 766
Wenxing Qin China 17 437 0.9× 283 0.9× 171 1.1× 95 1.1× 85 1.3× 30 780
Ninghan Feng China 14 682 1.4× 597 1.9× 128 0.8× 110 1.3× 43 0.7× 39 929

Countries citing papers authored by Ryan W. Askeland

Since Specialization
Citations

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

Fields of papers citing papers by Ryan W. Askeland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan W. Askeland. 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 Ryan W. Askeland. The network helps show where Ryan W. Askeland may publish in the future.

Co-authorship network of co-authors of Ryan W. Askeland

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan W. Askeland. A scholar is included among the top collaborators of Ryan W. Askeland 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 Ryan W. Askeland. Ryan W. Askeland 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.
Abdallah, Mohamed, Ashwani K. Singal, Chencheng Xie, et al.. (2022). Metastatic tumors to the pancreas: Balancing clinical impression with cytology findings. Annals of Hepato-Biliary-Pancreatic Surgery. 26(1). 91–97. 1 indexed citations
2.
Abdallah, Mohamed, et al.. (2020). Pulmonary Adenocarcinoma Presenting as a Pineal Gland Mass With Obstructive Hydrocephalus. Ochsner Journal. 20(2). 232–235. 3 indexed citations
3.
Abdullah, Hafez Mohammad Ammar, et al.. (2019). When Absence Seizures Are Not Seizure: A Case of Insulinoma.. PubMed. 72(12). 552–555.
4.
Borcherding, Nicholas, Ryan Kolb, Qing Xie, et al.. (2015). Paracrine WNT5A Signaling Inhibits Expansion of Tumor-Initiating Cells. Cancer Research. 75(10). 1972–1982. 46 indexed citations
5.
Askeland, Eric J., et al.. (2015). Cell cycle progression score predicts metastatic progression of clear cell renal cell carcinoma after resection. Cancer Biomarkers. 15(6). 861–867. 16 indexed citations
6.
Yang, Limin, et al.. (2015). Metaplastic Breast Cancer in a Patient with Neurofibromatosis. Journal of Clinical Imaging Science. 5. 17–17. 9 indexed citations
7.
Hagen, Jussara, Sara M. Reed, Agshin F. Taghiyev, et al.. (2014). RABL6A Promotes G1–S Phase Progression and Pancreatic Neuroendocrine Tumor Cell Proliferation in an Rb1-Dependent Manner. Cancer Research. 74(22). 6661–6670. 28 indexed citations
8.
Spanheimer, Philip M., Jung Min Park, Ryan W. Askeland, et al.. (2014). Inhibition of RET Increases the Efficacy of Antiestrogen and Is a Novel Treatment Strategy for Luminal Breast Cancer. Clinical Cancer Research. 20(8). 2115–2125. 33 indexed citations
9.
Ma, Deqin, Alexandra Thomas, Ryan W. Askeland, Natalya V. Guseva, & Ramakrishna Sompallae. (2014). Molecular and immunohistochemical profiling of invasive micropapillary carcinoma of the breast. 33–33. 2 indexed citations
10.
Spanheimer, Philip M., Ryan W. Askeland, Mikhail V. Kulak, Tong Wu, & Ronald J. Weigel. (2013). High TFAP2C/low CD44 expression is associated with an increased rate of pathologic complete response following neoadjuvant chemotherapy in breast cancer. Journal of Surgical Research. 184(1). 519–525. 11 indexed citations
11.
Spanheimer, Philip M., Anthony R. Cyr, Matthew P. Gillum, et al.. (2013). Distinct Pathways Regulated by RET and Estrogen Receptor in Luminal Breast Cancer Demonstrate the Biological Basis for Combination Therapy. Annals of Surgery. 259(4). 793–799. 20 indexed citations
12.
Teoh-Fitzgerald, Melissa, Matthew P. Fitzgerald, Weixiong Zhong, Ryan W. Askeland, & Frederick E. Domann. (2013). Epigenetic reprogramming governs EcSOD expression during human mammary epithelial cell differentiation, tumorigenesis and metastasis. Oncogene. 33(3). 358–368. 71 indexed citations
13.
Du, William W., Ling Fang, Minhui Li, et al.. (2013). MicroRNA miR-24 Enhances Tumor Invasion and Metastasis by Targeting PTPN9 and PTPRF to Promote EGF Signaling. Journal of Cell Science. 126(Pt 6). 1440–53. 124 indexed citations
14.
Maity, Biswanath, Adele Stewart, Yunxia O’Malley, et al.. (2013). Regulator of G protein signaling 6 is a novel suppressor of breast tumor initiation and progression. Carcinogenesis. 34(8). 1747–1755. 32 indexed citations
15.
Askeland, Ryan W., Xuefeng Zhang, Stephen M. Reed, et al.. (2013). RABL6A Promotes Oxaliplatin Resistance in Tumor Cells and Is a New Marker of Survival for Resected Pancreatic Ductal Adenocarcinoma Patients. Genes & Cancer. 4(7-8). 273–284. 22 indexed citations
16.
Fang, Ling, William W. Du, Weining Yang, et al.. (2012). MiR-93 enhances angiogenesis and metastasis by targeting LATS2. Cell Cycle. 11(23). 4352–4365. 163 indexed citations
17.
18.
Maity, Biswanath, Jianqi Yang, Jie Huang, et al.. (2010). Regulator of G Protein Signaling 6 (RGS6) Induces Apoptosis via a Mitochondrial-dependent Pathway Not Involving Its GTPase-activating Protein Activity. Journal of Biological Chemistry. 286(2). 1409–1419. 48 indexed citations
19.
Askeland, Ryan W., et al.. (2009). Enhancing Transfusion Safety with an Innovative Bar-Code-Based Tracking System. Healthcare Quarterly. 12(sp). 85–89. 14 indexed citations
20.

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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