Glenn Deng

2.1k total citations
10 papers, 1.2k citations indexed

About

Glenn Deng is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Glenn Deng has authored 10 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Glenn Deng's work include Cancer Genomics and Diagnostics (4 papers), Genetic Syndromes and Imprinting (2 papers) and Single-cell and spatial transcriptomics (2 papers). Glenn Deng is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Genetic Syndromes and Imprinting (2 papers) and Single-cell and spatial transcriptomics (2 papers). Glenn Deng collaborates with scholars based in United States, China and Paraguay. Glenn Deng's co-authors include Wenhua Zhang, Xiaohan Zhang, Ping Hu, Michael Herrler, Christophe Caux, Elizabeth R. Oldham, Marie‐Caroline Dieu‐Nosjean, Thomas Ruzicka, Percy Lehmann and Bernhard Homey and has published in prestigious journals such as The Journal of Immunology, American Journal of Physiology-Cell Physiology and Breast Cancer Research.

In The Last Decade

Glenn Deng

10 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Glenn Deng United States 9 420 409 408 263 214 10 1.2k
Janusz Franco‐Barraza United States 21 218 0.5× 643 1.6× 468 1.1× 300 1.1× 185 0.9× 26 1.3k
Derek Croote United States 10 384 0.9× 144 0.4× 502 1.2× 191 0.7× 70 0.3× 23 1.2k
P. Sirigu Italy 18 330 0.8× 281 0.7× 391 1.0× 93 0.4× 40 0.2× 64 1.1k
Reyes Tejedor Spain 15 634 1.5× 180 0.4× 499 1.2× 84 0.3× 38 0.2× 18 1.5k
Rhine R. Shen United States 15 330 0.8× 337 0.8× 491 1.2× 308 1.2× 56 0.3× 40 1.0k
Jamie B. Spangler United States 20 785 1.9× 617 1.5× 605 1.5× 72 0.3× 147 0.7× 63 1.6k
Haruko Hayasaka Japan 22 519 1.2× 417 1.0× 694 1.7× 138 0.5× 35 0.2× 46 1.5k
C. Thomas United Kingdom 21 353 0.8× 192 0.5× 850 2.1× 52 0.2× 62 0.3× 43 1.7k
Patricia Simms United States 14 693 1.6× 291 0.7× 819 2.0× 472 1.8× 113 0.5× 19 1.4k
Brandon J. Burbach United States 19 620 1.5× 255 0.6× 507 1.2× 144 0.5× 67 0.3× 28 1.5k

Countries citing papers authored by Glenn Deng

Since Specialization
Citations

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

Fields of papers citing papers by Glenn Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glenn Deng. 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 Glenn Deng. The network helps show where Glenn Deng may publish in the future.

Co-authorship network of co-authors of Glenn Deng

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

All Works

10 of 10 papers shown
1.
Zhou, Haibo, Yang Li, Xinhua Xu, et al.. (2018). miR‑34a inhibits esophageal squamous cell carcinoma progression via regulation of FOXM1. Oncology Letters. 17(1). 706–712. 11 indexed citations
2.
Hu, Ping, Wenhua Zhang, Xiaohan Zhang, & Glenn Deng. (2016). Single Cell Isolation and Analysis. Frontiers in Cell and Developmental Biology. 4. 116–116. 250 indexed citations
4.
Zhang, Haiyu, Adam L. Cohen, Sujatha Krishnakumar, et al.. (2014). Patient-derived xenografts of triple-negative breast cancer reproduce molecular features of patient tumors and respond to mTOR inhibition. Breast Cancer Research. 16(2). R36–R36. 61 indexed citations
5.
Deng, Glenn, Michael Herrler, David S. Burgess, et al.. (2008). Enrichment with anti-cytokeratin alone or combined with anti-EpCAM antibodies significantly increases the sensitivity for circulating tumor cell detection in metastatic breast cancer patients. Breast Cancer Research. 10(4). R69–R69. 145 indexed citations
6.
Singh, Ruchira, Rajanikanth J Maganti, Sairam V. Jabba, et al.. (2004). Microarray-based comparison of three amplification methods for nanogram amounts of total RNA. American Journal of Physiology-Cell Physiology. 288(5). C1179–C1189. 60 indexed citations
7.
Dafforn, Alan, Pengchin Chen, Glenn Deng, et al.. (2004). Linear mRNA Amplification from as Little as 5 ng Total RNA for Global gene Expression Analysis. BioTechniques. 37(5). 854–857. 101 indexed citations
8.
Homey, Bernhard, Marie‐Caroline Dieu‐Nosjean, Catherine Massacrier, et al.. (2000). Up-Regulation of Macrophage Inflammatory Protein-3α/CCL20 and CC Chemokine Receptor 6 in Psoriasis. The Journal of Immunology. 164(12). 6621–6632. 447 indexed citations
9.
Glenn, Christopher C., Glenn Deng, Ron C. Michaelis, et al.. (2000). DNA methylation analysis with respect to prenatal diagnosis of the Angelman and Prader-Willi syndromes and imprinting. Prenatal Diagnosis. 20(4). 300–306. 17 indexed citations
10.
Glenn, Christopher C., Glenn Deng, Ron C. Michaelis, et al.. (2000). DNA methylation analysis with respect to prenatal diagnosis of the Angelman and Prader–Willi syndromes and imprinting. Prenatal Diagnosis. 20(4). 300–306. 2 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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