Dorothy A. Sipkins

3.9k total citations · 3 hit papers
30 papers, 3.0k citations indexed

About

Dorothy A. Sipkins is a scholar working on Oncology, Hematology and Molecular Biology. According to data from OpenAlex, Dorothy A. Sipkins has authored 30 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 12 papers in Hematology and 11 papers in Molecular Biology. Recurrent topics in Dorothy A. Sipkins's work include Hematopoietic Stem Cell Transplantation (7 papers), Acute Myeloid Leukemia Research (6 papers) and Chemokine receptors and signaling (5 papers). Dorothy A. Sipkins is often cited by papers focused on Hematopoietic Stem Cell Transplantation (7 papers), Acute Myeloid Leukemia Research (6 papers) and Chemokine receptors and signaling (5 papers). Dorothy A. Sipkins collaborates with scholars based in United States, United Kingdom and Singapore. Dorothy A. Sipkins's co-authors include Mark D. Bednarski, King C. Li, David A. Cheresh, Linda M Nevin, Trevor Price, Angela Colmone, Elizabeth M. Jablonski, María Galli de Amorim, Sheng Wang and Xunbin Wei and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Dorothy A. Sipkins

29 papers receiving 2.9k citations

Hit Papers

Detection of tumor angiogenesis in vivo by αvβ3-targeted ... 1998 2026 2007 2016 1998 2005 2024 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dorothy A. Sipkins United States 18 1.1k 869 803 554 415 30 3.0k
Martina Rudelius Germany 31 1.1k 1.0× 440 0.5× 902 1.1× 590 1.1× 306 0.7× 89 3.0k
Robert A.J. Oostendorp Germany 35 1.6k 1.5× 1.2k 1.4× 664 0.8× 1.1k 1.9× 226 0.5× 109 3.8k
Juwell W. Wu United States 12 942 0.9× 1.3k 1.5× 625 0.8× 931 1.7× 134 0.3× 24 3.1k
Judith Runnels United States 25 1.5k 1.4× 1.1k 1.2× 674 0.8× 675 1.2× 153 0.4× 64 3.5k
Feda Azab United States 26 2.5k 2.2× 988 1.1× 1.1k 1.3× 661 1.2× 141 0.3× 77 4.3k
Joel A. Spencer United States 23 1.9k 1.7× 741 0.9× 1.9k 2.4× 720 1.3× 177 0.4× 42 5.4k
Pilar de la Puente United States 22 1.2k 1.1× 309 0.4× 717 0.9× 324 0.6× 232 0.6× 50 2.7k
Manja Wobus Germany 23 864 0.8× 285 0.3× 326 0.4× 288 0.5× 145 0.3× 68 2.1k
Sheri Miraglia United States 12 1.5k 1.4× 404 0.5× 1.4k 1.7× 434 0.8× 88 0.2× 12 3.0k
Jay F. Dorsey United States 31 1.1k 1.0× 183 0.2× 826 1.0× 386 0.7× 296 0.7× 80 3.1k

Countries citing papers authored by Dorothy A. Sipkins

Since Specialization
Citations

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

Fields of papers citing papers by Dorothy A. Sipkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dorothy A. Sipkins. 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 Dorothy A. Sipkins. The network helps show where Dorothy A. Sipkins may publish in the future.

Co-authorship network of co-authors of Dorothy A. Sipkins

This figure shows the co-authorship network connecting the top 25 collaborators of Dorothy A. Sipkins. A scholar is included among the top collaborators of Dorothy A. Sipkins 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 Dorothy A. Sipkins. Dorothy A. Sipkins 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.
Whiteley, Andrew E., Danhui Ma, Seok‐Yeong Yu, et al.. (2024). Breast cancer exploits neural signaling pathways for bone-to-meninges metastasis. Science. 384(6702). eadh5548–eadh5548. 38 indexed citations breakdown →
2.
Whiteley, Andrew E., et al.. (2022). Abstract 3848: Neuronal mimicry promotes breast cancer leptomeningeal metastasis from bone marrow. Cancer Research. 82(12_Supplement). 3848–3848. 1 indexed citations
3.
Whiteley, Andrew E., Trevor Price, Gaia Cantelli, & Dorothy A. Sipkins. (2021). Leukaemia: a model metastatic disease. Nature reviews. Cancer. 21(7). 461–475. 129 indexed citations
4.
Ridge, Sarah, Andrew E. Whiteley, Hisayuki Yao, et al.. (2021). Pan-PI3Ki targets multiple B-ALL microenvironment interactions that fuel systemic and CNS relapse. Leukemia & lymphoma. 62(11). 2690–2702. 2 indexed citations
5.
Srinivasan, Ethan, Aaron C. Tan, Carey K. Anders, et al.. (2021). Salting the Soil: Targeting the Microenvironment of Brain Metastases. Molecular Cancer Therapeutics. 20(3). 455–466. 17 indexed citations
6.
Sung, Anthony D., Carlos M. de Castro, Thomas W. LeBlanc, et al.. (2017). Clinical Outcomes of Microtransplantation for Older Adults with Acute Myeloid Leukemia. Blood. 130. 3853. 2 indexed citations
7.
Rein, Lindsay, James W. Wisler, Li-Yin Huang, et al.. (2017). β-Arrestin2 mediates progression of murine primary myelofibrosis. JCI Insight. 2(24). 7 indexed citations
8.
Price, Trevor & Dorothy A. Sipkins. (2014). Rewiring the Niche: Sympathetic Neuropathy Drives Malignant Niche Transformation. Cell stem cell. 15(3). 261–262. 5 indexed citations
9.
Boyerinas, Benjamin, et al.. (2013). Adhesion to osteopontin in the bone marrow niche regulates lymphoblastic leukemia cell dormancy. Blood. 121(24). 4821–4831. 179 indexed citations
10.
Locke, Frederick L., Rajiv Agarwal, Rangesh Kunnavakkam, et al.. (2013). A novel clofarabine bridge strategy facilitates allogeneic transplantation in patients with relapsed/refractory leukemia and high-risk myelodysplastic syndromes. Bone Marrow Transplantation. 48(11). 1437–1443. 17 indexed citations
11.
Gurbuxani, Sandeep, et al.. (2013). Stem cell factor expression in B cell malignancies is influenced by the niche. Leukemia & lymphoma. 54(10). 2274–2280. 9 indexed citations
12.
Larson, Sarah M., Nicholas Campbell, Dezheng Huo, et al.. (2011). High dose cytarabine and mitoxantrone: an effective induction regimen for high-risk Acute Myeloid Leukemia (AML). Leukemia & lymphoma. 53(3). 445–450. 21 indexed citations
14.
Burness, Monika L. & Dorothy A. Sipkins. (2010). The stem cell niche in health and malignancy. Seminars in Cancer Biology. 20(2). 107–115. 33 indexed citations
15.
Sipkins, Dorothy A.. (2009). Rendering the Leukemia Cell Susceptible to Attack. New England Journal of Medicine. 361(13). 1307–1309. 9 indexed citations
16.
Colmone, Angela, et al.. (2008). Leukemic Cells Create Bone Marrow Niches That Disrupt the Behavior of Normal Hematopoietic Progenitor Cells. Science. 322(5909). 1861–1865. 458 indexed citations
17.
Colmone, Angela & Dorothy A. Sipkins. (2007). Beyond angiogenesis: the role of endothelium in the bone marrow vascular niche. Translational research. 151(1). 1–9. 32 indexed citations
18.
Sipkins, Dorothy A., Xunbin Wei, Juwell W. Wu, et al.. (2005). In vivo imaging of specialized bone marrow endothelial microdomains for tumour engraftment. Nature. 435(7044). 969–973. 645 indexed citations breakdown →
19.
Sipkins, Dorothy A., et al.. (2000). ICAM-1 expression in autoimmune encephalitis visualized using magnetic resonance imaging. Journal of Neuroimmunology. 104(1). 1–9. 107 indexed citations
20.
Tropper, François D., Henry Y. Li, Dorothy A. Sipkins, et al.. (1995). Paramagnetic polymerized liposomes as new recirculating MR contrast agents. Journal of Magnetic Resonance Imaging. 5(6). 719–724. 56 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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