Christopher M. Dower

559 total citations
9 papers, 373 citations indexed

About

Christopher M. Dower is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Christopher M. Dower has authored 9 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Christopher M. Dower's work include Autophagy in Disease and Therapy (3 papers), Cell death mechanisms and regulation (2 papers) and Extracellular vesicles in disease (2 papers). Christopher M. Dower is often cited by papers focused on Autophagy in Disease and Therapy (3 papers), Cell death mechanisms and regulation (2 papers) and Extracellular vesicles in disease (2 papers). Christopher M. Dower collaborates with scholars based in United States, Netherlands and India. Christopher M. Dower's co-authors include Hong‐Gang Wang, Carson A. Wills, Steven M. Frisch, Longgui Chen, Melat T. Gebru, Barbara A. Miller, Yuanjun Zhao, Xiaoming Liu, Jeffrey M. Sundstrom and Wenge Wang and has published in prestigious journals such as Blood, Cancer Research and Autophagy.

In The Last Decade

Christopher M. Dower

8 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher M. Dower United States	7	230	163	110	58	44	9	373
Hala Elnakat Thomas United States	9	312 1.4×	145 0.9×	110 1.0×	68 1.2×	27 0.6×	9	460
Dominique Arsenault Canada	7	278 1.2×	74 0.5×	86 0.8×	84 1.4×	23 0.5×	8	440
Federico Lucantoni Spain	10	183 0.8×	50 0.3×	84 0.8×	75 1.3×	36 0.8×	14	333
Elisa Ferrari Italy	7	268 1.2×	42 0.3×	117 1.1×	89 1.5×	82 1.9×	9	431
Cynthia I. Chude United States	2	162 0.7×	211 1.3×	46 0.4×	34 0.6×	29 0.7×	2	302
Yutaka Tamada Japan	9	244 1.1×	236 1.4×	65 0.6×	47 0.8×	65 1.5×	13	414
Lanya Li China	7	285 1.2×	68 0.4×	79 0.7×	132 2.3×	38 0.9×	12	433
Wenjuan Zhang China	13	502 2.2×	112 0.7×	95 0.9×	206 3.6×	59 1.3×	28	609
Komal Qureshi-Baig Luxembourg	7	260 1.1×	72 0.4×	225 2.0×	152 2.6×	36 0.8×	7	430

Countries citing papers authored by Christopher M. Dower

Since Specialization

Citations

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

Fields of papers citing papers by Christopher M. Dower

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher M. Dower

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

All Works

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9 of 9 papers shown

Hall, Matthew S., Christopher M. Dower, Michael Miller, et al.. (2024). Abstract 4009: Discovery of inhibitory CAR target DSG1 for damping NECTIN4 on-target off-tumor toxicity in iPSC-derived CAR-T cell therapy. Cancer Research. 84(6_Supplement). 4009–4009.

Li, Nan, Madeline B. Torres, Ruixue Wang, et al.. (2021). CAR T cells targeting tumor-associated exons of glypican 2 regress neuroblastoma in mice. Cell Reports Medicine. 2(6). 100297–100297. 34 indexed citations

Wills, Carson A., Xiaoming Liu, Longgui Chen, et al.. (2020). Chemotherapy-Induced Upregulation of Small Extracellular Vesicle-Associated PTX3 Accelerates Breast Cancer Metastasis. Cancer Research. 81(2). 452–463. 54 indexed citations

Wang, Ruixue, et al.. (2020). Isolation of rabbit single domain antibodies to B7-H3 via protein immunization and phage display. PubMed. 3(1). 10–17. 1 indexed citations

Gebru, Melat T., Jennifer M. Atkinson, Megan M. Young, et al.. (2020). Glucocorticoids enhance the antileukemic activity of FLT3 inhibitors in FLT3-mutant acute myeloid leukemia. Blood. 136(9). 1067–1079. 25 indexed citations

Dower, Christopher M., Carson A. Wills, Steven M. Frisch, & Hong‐Gang Wang. (2018). Mechanisms and context underlying the role of autophagy in cancer metastasis. Autophagy. 14(7). 1110–1128. 164 indexed citations

Dower, Christopher M., Melat T. Gebru, Longgui Chen, et al.. (2018). Targeted Inhibition of ULK1 Promotes Apoptosis and Suppresses Tumor Growth and Metastasis in Neuroblastoma. Molecular Cancer Therapeutics. 17(11). 2365–2376. 59 indexed citations

Dower, Christopher M., et al.. (2016). Selective Reversible Inhibition of Autophagy in Hypoxic Breast Cancer Cells Promotes Pulmonary Metastasis. Cancer Research. 77(3). 646–657. 29 indexed citations

Doi, Kenichiro, Krishne Gowda, Qiang Liu, et al.. (2014). Pyoluteorin derivatives induce Mcl-1 degradation and apoptosis in hematological cancer cells. Cancer Biology & Therapy. 15(12). 1688–1699. 7 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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