Samuel J. Beck

3.8k total citations
101 papers, 1.8k citations indexed

About

Samuel J. Beck is a scholar working on Molecular Biology, Clinical Psychology and Oncology. According to data from OpenAlex, Samuel J. Beck has authored 101 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 11 papers in Clinical Psychology and 10 papers in Oncology. Recurrent topics in Samuel J. Beck's work include Genomics and Chromatin Dynamics (9 papers), Psychological Testing and Assessment (9 papers) and Child and Adolescent Psychosocial and Emotional Development (6 papers). Samuel J. Beck is often cited by papers focused on Genomics and Chromatin Dynamics (9 papers), Psychological Testing and Assessment (9 papers) and Child and Adolescent Psychosocial and Emotional Development (6 papers). Samuel J. Beck collaborates with scholars based in United States, South Korea and Netherlands. Samuel J. Beck's co-authors include Hyunggee Kim, Xun Jin, Sung-Hak Kim, Young-Woo Sohn, Yun-Jaie Choi, Jinlong Yin, Do‐Hyun Nam, Se-Young Oh, Soonhag Kim and Hye-Min Jeon and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Samuel J. Beck

87 papers receiving 1.7k citations

Peers

Samuel J. Beck

ONCOL

GENET

Jinfang Zhang China

Joanne Chan United States

Susan A. Watson United Kingdom

Barbara Moffat Canada

Robert J. Drummond United States

Yun‐Ju Chen Taiwan

Catharina M.P. Vos Netherlands

Lisa Caldwell United States

Xiaoyan Ke China

Sang Eun Kim South Korea

Jinfang Zhang China

Samuel J. Beck

980 ×1.1

137 ×0.4

ONCOL

409 ×1.2

134 ×0.6

GENET

49 ×0.3

Citations per year, relative to Samuel J. Beck Samuel J. Beck (= 1×) peers Jinfang Zhang

Countries citing papers authored by Samuel J. Beck

Since Specialization

Citations

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

Fields of papers citing papers by Samuel J. Beck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel J. Beck

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

All Works

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20 of 20 papers shown

Lee, Sung-Ho, et al.. (2025). A high-quality genomic catalog of the human oral microbiome broadens its phylogeny and clinical insights. Cell Host & Microbe. 33(11). 1977–1994.e8.

Seo, Hoonhee, Sukyung Kim, Samuel J. Beck, & Ho‐Yeon Song. (2024). Perspectives on Microbiome Therapeutics in Infectious Diseases: A Comprehensive Approach Beyond Immunology and Microbiology. Cells. 13(23). 2003–2003. 4 indexed citations

Crossland, Nicholas A., Samuel J. Beck, Joel B. Mason, et al.. (2023). Fecal microbiota transplanted from old mice promotes more colonic inflammation, proliferation, and tumor formation in azoxymethane-treated A/J mice than microbiota originating from young mice. Gut Microbes. 15(2). 2288187–2288187. 17 indexed citations

Lee, Bum‐Kyu, Yu Jin Jang, Mijeong Kim, et al.. (2019). Super-enhancer-guided mapping of regulatory networks controlling mouse trophoblast stem cells. Nature Communications. 10(1). 4749–4749. 46 indexed citations

Beck, Samuel J., Christian Schirlo, & Jan Breckwoldt. (2018). How the Start into the Clinical Elective Year Could be Improved: Qualitative Results and Recommendations from Student Interviews. SHILAP Revista de lepidopterología. 35(1). Doc14–Doc14. 6 indexed citations

Hurk, Karin van den, Peter T.M. Moerkerk, Jelle J. Goeman, et al.. (2014). Promoter CpG Island Hypermethylation in Dysplastic Nevus and Melanoma: CLDN11 as an Epigenetic Biomarker for Malignancy. Journal of Investigative Dermatology. 134(12). 2957–2966. 37 indexed citations

Smit, Marjon A., Joost J. van den Oord, Jelle J. Goeman, et al.. (2013). Genome‐wide promoter methylation analysis identifies epigenetic silencing of MAPK13 in primary cutaneous melanoma. Pigment Cell & Melanoma Research. 26(4). 542–554. 49 indexed citations

Jin, Xun, Hye-Min Jeon, Samuel J. Beck, et al.. (2012). Interferon regulatory factor 7 regulates glioma stem cells via interleukin-6 and Notch signalling. Brain. 135(4). 1055–1069. 68 indexed citations

Jin, Xun, Hee-Young Jeon, Kyeung Min Joo, et al.. (2011). Frizzled 4 Regulates Stemness and Invasiveness of Migrating Glioma Cells Established by Serial Intracranial Transplantation. Cancer Research. 71(8). 3066–3075. 125 indexed citations

10.

Jin, Xun, Jinlong Yin, Sung-Hak Kim, et al.. (2011). EGFR-AKT-Smad Signaling Promotes Formation of Glioma Stem-like Cells and Tumor Angiogenesis by ID3-Driven Cytokine Induction. Cancer Research. 71(22). 7125–7134. 117 indexed citations

11.

Jeon, Hye-Min, Young-Woo Sohn, Se-Young Oh, et al.. (2011). ID4 Imparts Chemoresistance and Cancer Stemness to Glioma Cells by Derepressing miR-9*–Mediated Suppression of SOX2. Cancer Research. 71(9). 3410–3421. 176 indexed citations

12.

Yin, Jinlong, Jun-Kyum Kim, Jai-Hee Moon, et al.. (2011). hMSC-mediated Concurrent Delivery of Endostatin and Carboxylesterase to Mouse Xenografts Suppresses Glioma Initiation and Recurrence. Molecular Therapy. 19(6). 1161–1169. 36 indexed citations

13.

Beck, Samuel J., Xun Jin, Jinlong Yin, et al.. (2011). Identification of a peptide that interacts with Nestin protein expressed in brain cancer stem cells. Biomaterials. 32(33). 8518–8528. 35 indexed citations

14.

Zhang, Hanyao, Yanbin Dong, Lixia Zhao, et al.. (2010). Single base-resolution methylome of the silkworm reveals a sparse epigenomic map (vol 28, pg 516, 2010). UCL Discovery (University College London). 1 indexed citations

15.

Beck, Samuel J., Xun Jin, Young-Woo Sohn, et al.. (2010). Telomerase Activity-Independent Function of TERT Allows Glioma Cells to Attain Cancer Stem Cell Characteristics by Inducing EGFR Expression. Molecules and Cells. 31(1). 9–16. 51 indexed citations

16.

Yin, Jinlong, Xun Jin, Samuel J. Beck, et al.. (2009). In vitro myogenic and adipogenic differentiation model of genetically engineered bovine embryonic fibroblast cell lines. Biotechnology Letters. 32(2). 195–202. 18 indexed citations

17.

Ballegooijen, Marjolein van, Samuel J. Beck, Mathilde E. Boon, Rob Boer, & J. Dik F. Habbema. (1998). Rescreen Effect in Conventional and PAPNET Screening. Acta Cytologica. 42(5). 1133–1138. 3 indexed citations

18.

Beck, Samuel J.. (1972). Bimodality in schizophrenia: an adaptation to ambiguous communication. British Journal of Medical Psychology. 45(3). 221–232. 1 indexed citations

19.

Beck, Samuel J., et al.. (1967). Le test de Rorschach. Presses Universitaires de France eBooks. 3 indexed citations

20.

Beck, Samuel J.. (1952). Advances in interpretation. Grune & Stratton eBooks. 6 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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