Colleen S. Netherby

942 total citations
16 papers, 728 citations indexed

About

Colleen S. Netherby is a scholar working on Immunology, Oncology and Electrical and Electronic Engineering. According to data from OpenAlex, Colleen S. Netherby has authored 16 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 10 papers in Oncology and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Colleen S. Netherby's work include Immune cells in cancer (8 papers), Immunotherapy and Immune Responses (4 papers) and Immune Cell Function and Interaction (4 papers). Colleen S. Netherby is often cited by papers focused on Immune cells in cancer (8 papers), Immunotherapy and Immune Responses (4 papers) and Immune Cell Function and Interaction (4 papers). Colleen S. Netherby collaborates with scholars based in United States and Norway. Colleen S. Netherby's co-authors include Scott I. Abrams, Michelle N. Messmer, Austin Miller, Paul N. Bogner, Matthew R. Farren, Kelvin P. Lee, Debarati Banik, Qiang Hu, Song Liu and Kebin Liu and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and Journal of Virology.

In The Last Decade

Colleen S. Netherby

16 papers receiving 724 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Colleen S. Netherby United States 13 528 335 130 66 55 16 728
Madeline A. Hwee United States 3 330 0.6× 292 0.9× 217 1.7× 15 0.2× 72 1.3× 4 577
Lisa Woodworth United States 10 284 0.5× 156 0.5× 381 2.9× 100 1.5× 26 0.5× 13 711
Claudia Haftmann Germany 13 578 1.1× 138 0.4× 243 1.9× 35 0.5× 126 2.3× 17 883
Alessandra Roberto Italy 12 484 0.9× 230 0.7× 388 3.0× 23 0.3× 35 0.6× 15 891
Saša Radoja United States 14 543 1.0× 240 0.7× 166 1.3× 21 0.3× 36 0.7× 18 723
Jian Rong Sheng United States 17 361 0.7× 106 0.3× 138 1.1× 55 0.8× 19 0.3× 30 820
Heba Nowyhed United States 12 670 1.3× 274 0.8× 179 1.4× 37 0.6× 61 1.1× 17 867
Max Klapholz United States 7 515 1.0× 501 1.5× 180 1.4× 12 0.2× 61 1.1× 10 793
Ken Koguchi Japan 9 473 0.9× 208 0.6× 185 1.4× 42 0.6× 9 0.2× 10 659
V. V. Senyukov United States 9 713 1.4× 544 1.6× 144 1.1× 18 0.3× 20 0.4× 11 874

Countries citing papers authored by Colleen S. Netherby

Since Specialization
Citations

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

Fields of papers citing papers by Colleen S. Netherby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Colleen S. Netherby. 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 Colleen S. Netherby. The network helps show where Colleen S. Netherby may publish in the future.

Co-authorship network of co-authors of Colleen S. Netherby

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

All Works

16 of 16 papers shown
1.
Kleckner, Amber S., Ian R. Kleckner, Allison Magnuson, et al.. (2022). The Effects of a Mediterranean Diet Intervention on Cancer-Related Fatigue for Patients Undergoing Chemotherapy: A Pilot Randomized Controlled Trial. Cancers. 14(17). 4202–4202. 22 indexed citations
2.
Netherby, Colleen S., et al.. (2021). Balancing Inflammation and Central Nervous System Homeostasis: T Cell Receptor Signaling in Antiviral Brain TRM Formation and Function. Frontiers in Immunology. 11. 624144–624144. 4 indexed citations
3.
Kolawole, Elizabeth Motunrayo, Mingqiang Ren, Ge Jin, et al.. (2020). IL-21 from high-affinity CD4 T cells drives differentiation of brain-resident CD8 T cells during persistent viral infection. Science Immunology. 5(51). 48 indexed citations
4.
Netherby, Colleen S., et al.. (2020). CD8 T Cells and STAT1 Signaling Are Essential Codeterminants in Protection from Polyomavirus Encephalopathy. Journal of Virology. 94(8). 13 indexed citations
5.
Goetschius, Daniel J., Colleen S. Netherby, Ge Jin, et al.. (2020). Antibody escape by polyomavirus capsid mutation facilitates neurovirulence. eLife. 9. 12 indexed citations
6.
Frost, Elizabeth L., Mesut Toprak, Colleen S. Netherby, et al.. (2019). PD-1 Dynamically Regulates Inflammation and Development of Brain-Resident Memory CD8 T Cells During Persistent Viral Encephalitis. Frontiers in Immunology. 10. 783–783. 33 indexed citations
7.
Netherby, Colleen S., T. Salameh, Yuka Imamura Kawasawa, et al.. (2018). CD4 T cells control development and maintenance of brain-resident CD8 T cells during polyomavirus infection. PLoS Pathogens. 14(10). e1007365–e1007365. 29 indexed citations
8.
Netherby, Colleen S. & Scott I. Abrams. (2017). Mechanisms overseeing myeloid-derived suppressor cell production in neoplastic disease. Cancer Immunology Immunotherapy. 66(8). 989–996. 37 indexed citations
9.
Netherby, Colleen S., Michelle N. Messmer, Austin Miller, et al.. (2017). The Granulocyte Progenitor Stage Is a Key Target of IRF8-Mediated Regulation of Myeloid-Derived Suppressor Cell Production. The Journal of Immunology. 198(10). 4129–4139. 66 indexed citations
10.
Abrams, Scott I., et al.. (2016). Relevance of Interferon Regulatory Factor-8 Expression in Myeloid–Tumor Interactions. Journal of Interferon & Cytokine Research. 36(7). 442–453. 21 indexed citations
11.
Ellis, Leigh, Sheng‐Yu Ku, Gissou Azabdaftari, et al.. (2016). Generation of a C57BL/6MYC-Driven Mouse Model and Cell Line of Prostate Cancer. The Prostate. 76(13). 1192–1202. 16 indexed citations
12.
Messmer, Michelle N., Colleen S. Netherby, & Scott I. Abrams. (2016). Regulation of transcription factor IRF8 in myeloid progenitors is a critical checkpoint for formation of defective myeloid cells in cancer.. The Journal of Immunology. 196(1_Supplement). 211.8–211.8. 1 indexed citations
13.
Banik, Debarati, Colleen S. Netherby, Paul N. Bogner, & Scott I. Abrams. (2015). MMP3-Mediated tumor progression is controlled transcriptionally by a novel IRF8-MMP3 interaction. Oncotarget. 6(17). 15164–15179. 23 indexed citations
14.
Messmer, Michelle N., Colleen S. Netherby, Debarati Banik, & Scott I. Abrams. (2014). Tumor-induced myeloid dysfunction and its implications for cancer immunotherapy. Cancer Immunology Immunotherapy. 64(1). 1–13. 94 indexed citations
15.
Farren, Matthew R., Louise Carlson, Colleen S. Netherby, et al.. (2014). Tumor-Induced STAT3 Signaling in Myeloid Cells Impairs Dendritic Cell Generation by Decreasing PKCβII Abundance. Science Signaling. 7(313). ra16–ra16. 46 indexed citations
16.
Waight, Jeremy D., Colleen S. Netherby, Mary L. Hensen, et al.. (2013). Myeloid-derived suppressor cell development is regulated by a STAT/IRF-8 axis. Journal of Clinical Investigation. 123(10). 4464–4478. 263 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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