Susan K. Rathe

824 total citations
18 papers, 390 citations indexed

About

Susan K. Rathe is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Susan K. Rathe has authored 18 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Oncology. Recurrent topics in Susan K. Rathe's work include Protein Degradation and Inhibitors (3 papers), Sarcoma Diagnosis and Treatment (3 papers) and Virus-based gene therapy research (2 papers). Susan K. Rathe is often cited by papers focused on Protein Degradation and Inhibitors (3 papers), Sarcoma Diagnosis and Treatment (3 papers) and Virus-based gene therapy research (2 papers). Susan K. Rathe collaborates with scholars based in United States, United Kingdom and Japan. Susan K. Rathe's co-authors include David A. Largaespada, Branden S. Moriarity, Morito Kurata, Rebecca S. LaRue, Aaron L. Sarver, Jyotika Varshney, Natalie K. Wolf, Nuri A. Temiz, Subbaya Subramanian and Anne E. Sarver and has published in prestigious journals such as Blood, Bioinformatics and Cancer Research.

In The Last Decade

Susan K. Rathe

17 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan K. Rathe United States 12 234 100 87 84 67 18 390
Ivana Heřmanová Czechia 9 198 0.8× 97 1.0× 132 1.5× 84 1.0× 52 0.8× 16 406
Mark Wade United Kingdom 12 326 1.4× 140 1.4× 56 0.6× 89 1.1× 72 1.1× 24 478
Julie Ross Canada 10 373 1.6× 86 0.9× 58 0.7× 51 0.6× 61 0.9× 14 497
Antonella Padella Italy 9 184 0.8× 104 1.0× 52 0.6× 64 0.8× 28 0.4× 20 323
Jeffrey Hannah United States 7 341 1.5× 143 1.4× 84 1.0× 54 0.6× 25 0.4× 7 442
Omer Gilan Australia 10 253 1.1× 93 0.9× 43 0.5× 92 1.1× 28 0.4× 13 362
Haithem Barbour Canada 7 490 2.1× 176 1.8× 57 0.7× 94 1.1× 143 2.1× 9 671
Helicia Paz United States 10 308 1.3× 117 1.2× 102 1.2× 79 0.9× 19 0.3× 12 463
Tsutomu Yoneda Japan 10 184 0.8× 106 1.1× 74 0.9× 40 0.5× 58 0.9× 22 391
Moon Gyo Kim South Korea 12 247 1.1× 87 0.9× 85 1.0× 75 0.9× 13 0.2× 23 442

Countries citing papers authored by Susan K. Rathe

Since Specialization
Citations

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

Fields of papers citing papers by Susan K. Rathe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan K. Rathe. 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 Susan K. Rathe. The network helps show where Susan K. Rathe may publish in the future.

Co-authorship network of co-authors of Susan K. Rathe

This figure shows the co-authorship network connecting the top 25 collaborators of Susan K. Rathe. A scholar is included among the top collaborators of Susan K. Rathe 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 Susan K. Rathe. Susan K. Rathe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
2.
Kurata, Morito, Marie Lue Antony, Susan K. Rathe, et al.. (2022). Proliferation and Self-Renewal Are Differentially Sensitive to NRASG12V Oncogene Levels in an Acute Myeloid Leukemia Cell Line. Molecular Cancer Research. 20(11). 1646–1658. 7 indexed citations
3.
Kaufmann, Gabriel, Madison T. Weg, Natalie K. Wolf, et al.. (2021). Transposon Mutagenesis-Guided CRISPR/Cas9 Screening Strongly Implicates Dysregulation of Hippo/YAP Signaling in Malignant Peripheral Nerve Sheath Tumor Development. Cancers. 13(7). 1584–1584. 7 indexed citations
4.
Conboy, Caitlin B., Susan K. Rathe, Juan E. Abrahante, et al.. (2020). R-Spondins 2 and 3 Are Overexpressed in a Subset of Human Colon and Breast Cancers. DNA and Cell Biology. 40(1). 70–79. 10 indexed citations
5.
Smeester, Branden A., Nicholas J. Slipek, Natalie Stratton, et al.. (2020). Implication of ZNF217 in Accelerating Tumor Development and Therapeutically Targeting ZNF217-Induced PI3K–AKT Signaling for the Treatment of Metastatic Osteosarcoma. Molecular Cancer Therapeutics. 19(12). 2528–2541. 13 indexed citations
6.
Smeester, Branden A., Nicholas J. Slipek, Emily J. Pomeroy, et al.. (2020). PLX3397 treatment inhibits constitutive CSF1R-induced oncogenic ERK signaling, reduces tumor growth, and metastatic burden in osteosarcoma. Bone. 136. 115353–115353. 28 indexed citations
7.
Xiong, Zhengming, G. Elizabeth Pluhar, Susan K. Rathe, et al.. (2019). CD200 Checkpoint Reversal: A Novel Approach to Immunotherapy. Clinical Cancer Research. 26(1). 232–241. 25 indexed citations
8.
Rathe, Susan K., Flavia E. Popescu, James E. Johnson, et al.. (2019). Identification of candidate neoantigens produced by fusion transcripts in human osteosarcomas. Scientific Reports. 9(1). 358–358. 31 indexed citations
9.
Rahrmann, Eric P., Natalie K. Wolf, George M. Otto, et al.. (2018). Sleeping Beauty Screen Identifies RREB1 and Other Genetic Drivers in Human B-cell Lymphoma. Molecular Cancer Research. 17(2). 567–582. 14 indexed citations
10.
Scott, Milcah C., Nuri A. Temiz, Anne E. Sarver, et al.. (2017). Comparative Transcriptome Analysis Quantifies Immune Cell Transcript Levels, Metastatic Progression, and Survival in Osteosarcoma. Cancer Research. 78(2). 326–337. 84 indexed citations
11.
Paul, Jinny, Juan E. Abrahante, Ying Wang, et al.. (2017). Transcriptomic analysis of gene signatures associated with sickle pain. Scientific Data. 4(1). 170051–170051. 8 indexed citations
12.
Shamsan, Ghaidan A., Susan K. Rathe, Ingrid Cornax, et al.. (2016). Slit-Robo GTPase-Activating Protein 2 as a metastasis suppressor in osteosarcoma. Scientific Reports. 6(1). 39059–39059. 28 indexed citations
13.
Kurata, Morito, et al.. (2016). Using genome-wide CRISPR library screening with library resistant DCK to find new sources of Ara-C drug resistance in AML. Scientific Reports. 6(1). 36199–36199. 54 indexed citations
14.
Kempema, Aaron, John C. Widen, Joseph K. Hexum, et al.. (2015). Synthesis and antileukemic activities of C1–C10-modified parthenolide analogues. Bioorganic & Medicinal Chemistry. 23(15). 4737–4745. 17 indexed citations
15.
Rathe, Susan K., et al.. (2014). Using RNA-seq and targeted nucleases to identify mechanisms of drug resistance in acute myeloid leukemia. Scientific Reports. 4(1). 6048–6048. 28 indexed citations
16.
Sachs, Zohar, Rebecca S. LaRue, Hanh T. Nguyen, et al.. (2014). NRAS G12V oncogene facilitates self-renewal in a murine model of acute myelogenous leukemia. Blood. 124(22). 3274–3283. 23 indexed citations
17.
Rathe, Susan K., James E. Johnson, Kevin A.T. Silverstein, et al.. (2013). MMuFLR: missense mutation and frameshift location reporter. Bioinformatics. 29(18). 2353–2354. 2 indexed citations
18.
Claeys, Patricia, et al.. (2001). Sexually Transmitted Infections and Reproductive Health in Azerbaijan. Sexually Transmitted Diseases. 28(7). 372–378. 11 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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