Klarke M. Sample

487 total citations
22 papers, 278 citations indexed

About

Klarke M. Sample is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Klarke M. Sample has authored 22 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Hematology and 6 papers in Oncology. Recurrent topics in Klarke M. Sample's work include Acute Myeloid Leukemia Research (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Klarke M. Sample is often cited by papers focused on Acute Myeloid Leukemia Research (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Klarke M. Sample collaborates with scholars based in China, Canada and United States. Klarke M. Sample's co-authors include Helen M. McGettrick, Roy Bicknell, Sarah M. Durant, Stuart Egginton, Joseph W. Wragg, Yaacov Ben‐David, Eldad Zacksenhaus, Babu Gajendran, Wuling Liu and Xiao‐Jiang Hao and has published in prestigious journals such as Scientific Reports, Cellular and Molecular Life Sciences and Frontiers in Immunology.

In The Last Decade

Klarke M. Sample

22 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Klarke M. Sample China 9 145 50 43 43 30 22 278
Boyan Wang China 8 182 1.3× 51 1.0× 40 0.9× 71 1.7× 40 1.3× 14 356
Wang Tang China 10 177 1.2× 67 1.3× 43 1.0× 57 1.3× 23 0.8× 13 309
Junko Zenkoh Japan 9 134 0.9× 70 1.4× 60 1.4× 43 1.0× 30 1.0× 18 333
Isidoro Cobo United States 9 153 1.1× 31 0.6× 81 1.9× 29 0.7× 37 1.2× 16 296
Andreia Gomes Portugal 8 138 1.0× 51 1.0× 72 1.7× 39 0.9× 16 0.5× 19 300
Gwenaële Garin France 6 127 0.9× 33 0.7× 51 1.2× 25 0.6× 11 0.4× 10 210
Emre Can Tüysüz Türkiye 11 138 1.0× 39 0.8× 43 1.0× 97 2.3× 30 1.0× 19 302
Rahel Mathew United States 9 161 1.1× 67 1.3× 37 0.9× 27 0.6× 43 1.4× 14 346
Madoka Inukai Japan 11 96 0.7× 57 1.1× 33 0.8× 54 1.3× 13 0.4× 38 352

Countries citing papers authored by Klarke M. Sample

Since Specialization
Citations

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

Fields of papers citing papers by Klarke M. Sample

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Klarke M. Sample. 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 Klarke M. Sample. The network helps show where Klarke M. Sample may publish in the future.

Co-authorship network of co-authors of Klarke M. Sample

This figure shows the co-authorship network connecting the top 25 collaborators of Klarke M. Sample. A scholar is included among the top collaborators of Klarke M. Sample 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 Klarke M. Sample. Klarke M. Sample 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.
Lv, Duoduo, Klarke M. Sample, Ángela Rojas, et al.. (2025). Halting hepatocellular carcinoma: Identifying intercellular crosstalk in HBV-driven disease. Cell Reports. 44(4). 115457–115457. 4 indexed citations
2.
Wang, Jie, Chunlin Wang, Anling Hu, et al.. (2024). FLI1 induces erythroleukemia through opposing effects on UBASH3A and UBASH3B expression. BMC Cancer. 24(1). 326–326. 4 indexed citations
3.
Qiu, Qiang, Yuanyuan Sun, Qingqing Li, et al.. (2023). TSPAN32 suppresses chronic myeloid leukemia pathogenesis and progression by stabilizing PTEN. Signal Transduction and Targeted Therapy. 8(1). 90–90. 6 indexed citations
4.
Zhou, Lingyun, Linye He, Changhai Liu, et al.. (2023). Liver cancer stem cell dissemination and metastasis: uncovering the role of NRCAM in hepatocellular carcinoma. Journal of Experimental & Clinical Cancer Research. 42(1). 311–311. 14 indexed citations
5.
Zheng, Li, Wei He, Qiang Qiu, et al.. (2023). Atp8a1 deletion increases the proliferative activity of hematopoietic stem cells by impairing PTEN function. Cellular Oncology. 46(4). 1069–1083. 4 indexed citations
6.
Ben‐David, Yaacov, Babu Gajendran, Klarke M. Sample, & Eldad Zacksenhaus. (2022). Current insights into the role of Fli-1 in hematopoiesis and malignant transformation. Cellular and Molecular Life Sciences. 79(3). 163–163. 20 indexed citations
7.
Liu, Wuling, Babu Gajendran, Klarke M. Sample, et al.. (2022). A critical ETV4/Twist1/Vimentin axis in Ha-RAS-induced aggressive breast cancer. Cancer Gene Therapy. 29(11). 1590–1599. 2 indexed citations
8.
Chen, Beiling, Chunlin Wang, Xiao Xiao, et al.. (2022). FLI1 accelerates leukemogenesis through transcriptional regulation of pyruvate kinase-L/R and other glycolytic genes. Medical Oncology. 40(2). 69–69. 4 indexed citations
9.
Li, Ning, Nan Wang, Qiang Qiu, et al.. (2022). The suppressive functions of Rora in B lineage cell proliferation and BCR/ABL1-induced B-ALL pathogenesis. International Journal of Biological Sciences. 18(6). 2277–2291. 4 indexed citations
10.
Chen, Beiling, Chunlin Wang, Wuling Liu, et al.. (2022). FLI1 regulates inflammation-associated genes to accelerate leukemogenesis. Cellular Signalling. 92. 110269–110269. 9 indexed citations
11.
Wang, Chunlin, Klarke M. Sample, Babu Gajendran, et al.. (2021). FLI1 Induces Megakaryopoiesis Gene Expression Through WAS/WIP-Dependent and Independent Mechanisms; Implications for Wiskott-Aldrich Syndrome. Frontiers in Immunology. 12. 607836–607836. 18 indexed citations
12.
Yao, Yao, Wuling Liu, Babu Gajendran, et al.. (2021). Ubash3b promotes TPA-mediated suppression of leukemogenesis through accelerated downregulation of PKCδ protein. Biochimie. 184. 8–17. 6 indexed citations
13.
Gao, Yutong, et al.. (2021). Propofol mediates pancreatic cancer cell activity through the repression of ADAM8 via SP1. Oncology Reports. 46(6). 8 indexed citations
14.
Gajendran, Babu, Wuling Liu, Chunlin Wang, et al.. (2020). A C21-steroidal derivative suppresses T-cell lymphoma in mice by inhibiting SIRT3 via SAP18-SIN3. Communications Biology. 3(1). 732–732. 10 indexed citations
16.
Liu, Wuling, et al.. (2020). Erythropoietin Signaling in the Microenvironment of Tumors and Healthy Tissues. Advances in experimental medicine and biology. 1223. 17–30. 9 indexed citations
17.
Cheng, Rong, Wei Li, Klarke M. Sample, et al.. (2020). Characterization of the transcriptional response of Candida parapsilosis to the antifungal peptide MAF-1A. PeerJ. 8. e9767–e9767. 4 indexed citations
18.
Wang, Chunlin, Jialei Song, Wuling Liu, et al.. (2019). FLI1 promotes protein translation via the transcriptional regulation of MKNK1 expression. International Journal of Oncology. 56(2). 430–438. 6 indexed citations
19.
Boru, Getachew, Colleen M. Cebulla, Klarke M. Sample, et al.. (2019). Heterogeneity in Mitogen-Activated Protein Kinase (MAPK) Pathway Activation in Uveal Melanoma With Somatic GNAQ and GNA11 Mutations. Investigative Ophthalmology & Visual Science. 60(7). 2474–2474. 19 indexed citations
20.
Massengill, James B., Klarke M. Sample, Robert Pilarski, et al.. (2018). Analysis of the exome aggregation consortium (ExAC) database suggests that the BAP1‐tumor predisposition syndrome is underreported in cancer patients. Genes Chromosomes and Cancer. 57(9). 478–481. 4 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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