Rachel J. Buchsbaum

1.6k total citations
40 papers, 1.3k citations indexed

About

Rachel J. Buchsbaum is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Rachel J. Buchsbaum has authored 40 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Rachel J. Buchsbaum's work include Protein Kinase Regulation and GTPase Signaling (8 papers), Cancer Cells and Metastasis (5 papers) and Cell death mechanisms and regulation (4 papers). Rachel J. Buchsbaum is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (8 papers), Cancer Cells and Metastasis (5 papers) and Cell death mechanisms and regulation (4 papers). Rachel J. Buchsbaum collaborates with scholars based in United States, China and Canada. Rachel J. Buchsbaum's co-authors include Larry A. Feig, Beth A. Connolly, Sun Young Oh, Kun Xu, Jean‐Baptiste Telliez, Sunali Goonesekera, Charlotte Kuperwasser, Stephen P. Naber, Mohammad Movassaghi and Lisa M. Arendt and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

Rachel J. Buchsbaum

39 papers receiving 1.3k citations

Peers

Rachel J. Buchsbaum
J. Bradley Dickerson United States
Ronald K. Gary United States
Taofei Yin United States
Zahara M. Jaffer United States
Morgan O’Hayre United States
Rachel J. Buchsbaum
Citations per year, relative to Rachel J. Buchsbaum Rachel J. Buchsbaum (= 1×) peers Satoru Sasagawa

Countries citing papers authored by Rachel J. Buchsbaum

Since Specialization
Citations

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

Fields of papers citing papers by Rachel J. Buchsbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel J. Buchsbaum. 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 Rachel J. Buchsbaum. The network helps show where Rachel J. Buchsbaum may publish in the future.

Co-authorship network of co-authors of Rachel J. Buchsbaum

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel J. Buchsbaum. A scholar is included among the top collaborators of Rachel J. Buchsbaum 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 Rachel J. Buchsbaum. Rachel J. Buchsbaum 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.
Zhao, Naisi, Devin C. Koestler, Eric Boerwinkle, et al.. (2024). DNA Methylation-Derived Immune Cell Proportions and Cancer Risk in Black Participants. Cancer Research Communications. 4(10). 2714–2723. 1 indexed citations
2.
Koethe, Benjamin, Bao Chen, Matthew Finn, et al.. (2023). Atherosclerotic Cardiovascular Disease Risk and Longitudinal Risk Factor Management Among Patients With Breast Cancer. Clinical Breast Cancer. 24(2). e71–e79.e4. 3 indexed citations
3.
Bhatt, Parva, et al.. (2023). Innovating the hematology/oncology (H/O) curriculum for internal medicine (IM) residents: A modified flipped classroom (FC) approach.. Journal of Clinical Oncology. 41(16_suppl). 11014–11014. 1 indexed citations
4.
Sekigami, Yurie, Kathryn E. Huber, Yu Cao, et al.. (2021). Cost-Effectiveness Analysis: Lymph Node Transfer vs Lymphovenous Bypass for Breast Cancer-Related Lymphedema. Journal of the American College of Surgeons. 232(6). 837–845. 13 indexed citations
5.
Waheed, Anem, et al.. (2020). Implementation and impact of a multidisciplinary coagulation factor stewardship program at an academic medical center. Journal of Thrombosis and Thrombolysis. 50(3). 715–717. 3 indexed citations
6.
Osani, Mikala C., et al.. (2020). Comparative Effectiveness of Adjuvant Chemotherapy in Early-Stage Breast Cancer: A Network Meta-analysis. Clinical Breast Cancer. 21(1). e22–e37. 8 indexed citations
7.
Xu, Kun, et al.. (2017). Synthesis and Evaluation of Agelastatin Derivatives as Potent Modulators for Cancer Invasion and Metastasis. The Journal of Organic Chemistry. 82(15). 7720–7731. 16 indexed citations
8.
Paulus, Jessica K., Karen M Switkowski, Genève Allison, et al.. (2016). Where is the leak in the pipeline? Investigating gender differences in academic promotion at an academic medical centre. Perspectives on Medical Education. 5(2). 125–128. 26 indexed citations
9.
Xu, Kun, Xuejun Tian, Sun Young Oh, et al.. (2016). The fibroblast Tiam1-osteopontin pathway modulates breast cancer invasion and metastasis. Breast Cancer Research. 18(1). 14–14. 54 indexed citations
10.
Shah, Gunjan L., Aaron N. Winn, Pei‐Jung Lin, et al.. (2015). Cost-Effectiveness of Autologous Hematopoietic Stem Cell Transplantation for Elderly Patients with Multiple Myeloma using the Surveillance, Epidemiology, and End Results–Medicare Database. Biology of Blood and Marrow Transplantation. 21(10). 1823–1829. 24 indexed citations
11.
Schubert, Stephanie, Lisa M. Arendt, Wenhui Zhou, et al.. (2015). Ultra-sensitive protein detection via Single Molecule Arrays towards early stage cancer monitoring. Scientific Reports. 5(1). 11034–11034. 49 indexed citations
12.
Xu, Kun & Rachel J. Buchsbaum. (2012). Isolation of Mammary Epithelial Cells from Three-dimensional Mixed-cell Spheroid Co-culture. Journal of Visualized Experiments. 14 indexed citations
13.
Xu, Kun, Yuhuan Li, Jiewei Liu, et al.. (2010). Scaffold Proteins IRSp53 and Spinophilin Regulate Localized Rac Activation by T-lymphocyte Invasion and Metastasis Protein 1 (TIAM1). Journal of Biological Chemistry. 285(23). 18060–18071. 25 indexed citations
14.
Xu, Kang, Sriram Rajagopal, Ina Klebba, et al.. (2010). The role of fibroblast Tiam1 in tumor cell invasion and metastasis. Oncogene. 29(50). 6533–6542. 48 indexed citations
15.
Connolly, Beth A., et al.. (2005). Tiam1-IRSp53 Complex Formation Directs Specificity of Rac-Mediated Actin Cytoskeleton Regulation. Molecular and Cellular Biology. 25(17). 7928–7928. 1 indexed citations
16.
Buchsbaum, Rachel J., et al.. (2004). Neurotrophin-dependent Tyrosine Phosphorylation of Ras Guanine-releasing Factor 1 and Associated Neurite Outgrowth Is Dependent on the HIKE Domain of TrkA. Journal of Biological Chemistry. 280(1). 225–235. 42 indexed citations
17.
Buchsbaum, Rachel J., Beth A. Connolly, & Larry A. Feig. (2003). Regulation of p70 S6 Kinase by Complex Formation between the Rac Guanine Nucleotide Exchange Factor (Rac-GEF) Tiam1 and the Scaffold Spinophilin. Journal of Biological Chemistry. 278(21). 18833–18841. 103 indexed citations
18.
Feig, Larry A. & Rachel J. Buchsbaum. (2002). Cell Signaling: Life or Death Decisions of Ras Proteins. Current Biology. 12(7). R259–R261. 73 indexed citations
19.
Buchsbaum, Rachel J., Jean‐Baptiste Telliez, Sunali Goonesekera, & Larry A. Feig. (1996). The N-Terminal Pleckstrin, Coiled-Coil, and IQ Domains of the Exchange Factor Ras-GRF Act Cooperatively To Facilitate Activation by Calcium. Molecular and Cellular Biology. 16(9). 4888–4896. 90 indexed citations
20.
Buchsbaum, Rachel J., et al.. (1996). EBV-specific cytotoxic T lymphocytes protect against human EBV-associated lymphoma in scid mice. Immunology Letters. 52(2-3). 145–152. 25 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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