Andrew S. Gilder

732 total citations
16 papers, 517 citations indexed

About

Andrew S. Gilder is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Andrew S. Gilder has authored 16 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Immunology and 6 papers in Cancer Research. Recurrent topics in Andrew S. Gilder's work include Protease and Inhibitor Mechanisms (4 papers), interferon and immune responses (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). Andrew S. Gilder is often cited by papers focused on Protease and Inhibitor Mechanisms (4 papers), interferon and immune responses (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). Andrew S. Gilder collaborates with scholars based in United States, Italy and China. Andrew S. Gilder's co-authors include Steven L. Gonias, Elisabetta Mantuano, Coralie Brifault, Pardis Azmoon, Michael S. Lam, Michael D. Hebert, W. Marie Campana, Sarah Murray, Venkatramreddy Velma and Zunamys I. Carrero and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Andrew S. Gilder

16 papers receiving 516 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew S. Gilder United States 13 276 147 121 79 57 16 517
Jagoda K. Hebda France 6 271 1.0× 102 0.7× 109 0.9× 107 1.4× 52 0.9× 6 503
О. С. Плеханова Russia 13 206 0.7× 209 1.4× 89 0.7× 42 0.5× 33 0.6× 34 485
Ihsan Chrifi Netherlands 15 285 1.0× 103 0.7× 168 1.4× 83 1.1× 52 0.9× 21 570
Parisa Imanirad United States 7 248 0.9× 127 0.9× 68 0.6× 35 0.4× 113 2.0× 8 453
Walter Pouwels Netherlands 12 333 1.2× 77 0.5× 250 2.1× 78 1.0× 29 0.5× 16 610
Jun‐ichi Suehiro Japan 13 346 1.3× 88 0.6× 80 0.7× 101 1.3× 41 0.7× 22 526
Dale Schaar United States 14 422 1.5× 184 1.3× 73 0.6× 110 1.4× 25 0.4× 32 710
Christine Bourcier France 9 381 1.4× 115 0.8× 42 0.3× 79 1.0× 109 1.9× 10 534
Constanze Schwarz Germany 8 223 0.8× 52 0.4× 213 1.8× 91 1.2× 35 0.6× 14 512
Pedro Cruz United States 13 365 1.3× 87 0.6× 65 0.5× 194 2.5× 53 0.9× 19 589

Countries citing papers authored by Andrew S. Gilder

Since Specialization
Citations

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

Fields of papers citing papers by Andrew S. Gilder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew S. Gilder

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew S. Gilder. A scholar is included among the top collaborators of Andrew S. Gilder 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 Andrew S. Gilder. Andrew S. Gilder 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.
Chan, Szeman Ruby, Yanni Zhu, Andrew S. Gilder, et al.. (2022). FT555: Off-the-Shelf CAR-NK Cell Therapy Co-Targeting GPRC5D and CD38 for the Treatment of Multiple Myeloma. Blood. 140(Supplement 1). 4560–4561. 18 indexed citations
2.
Gilder, Andrew S., Cristina Zalfa, Donald Pizzo, et al.. (2018). The Urokinase Receptor Induces a Mesenchymal Gene Expression Signature in Glioblastoma Cells and Promotes Tumor Cell Survival in Neurospheres. Scientific Reports. 8(1). 2982–2982. 41 indexed citations
3.
Gonias, Steven L., et al.. (2018). PAI1 blocks NMDA receptor-mediated effects of tissue-type plasminogen activator on cell signaling and physiology. Journal of Cell Science. 131(14). 10 indexed citations
4.
Mantuano, Elisabetta, Pardis Azmoon, Coralie Brifault, et al.. (2017). Tissue-type plasminogen activator regulates macrophage activation and innate immunity. Blood. 130(11). 1364–1374. 49 indexed citations
5.
Brifault, Coralie, et al.. (2017). Shedding of membrane-associated LDL receptor-related protein-1 from microglia amplifies and sustains neuroinflammation. Journal of Biological Chemistry. 292(45). 18699–18712. 42 indexed citations
6.
Gonias, Steven L., et al.. (2017). Expression of LDL receptor-related proteins (LRPs) in common solid malignancies correlates with patient survival. PLoS ONE. 12(10). e0186649–e0186649. 40 indexed citations
7.
Hau, Andrew M., et al.. (2016). mTORC2 activation is regulated by the urokinase receptor (uPAR) in bladder cancer. Cellular Signalling. 29. 96–106. 10 indexed citations
8.
Gilder, Andrew S., et al.. (2016). Pertussis Toxin Is a Robust and Selective Inhibitor of High Grade Glioma Cell Migration and Invasion. PLoS ONE. 11(12). e0168418–e0168418. 11 indexed citations
9.
Gilder, Andrew S., Michael S. Lam, Roberta Misasi, et al.. (2016). The activities of LDL Receptor-related Protein-1 (LRP1) compartmentalize into distinct plasma membrane microdomains. Molecular and Cellular Neuroscience. 76. 42–51. 17 indexed citations
10.
Mantuano, Elisabetta, Coralie Brifault, Michael S. Lam, et al.. (2016). LDL receptor-related protein-1 regulates NFκB and microRNA-155 in macrophages to control the inflammatory response. Proceedings of the National Academy of Sciences. 113(5). 1369–1374. 104 indexed citations
11.
Gilder, Andrew S., Karra A. Jones, Lei Wang, et al.. (2015). Soluble Urokinase Receptor Is Released Selectively by Glioblastoma Cells That Express Epidermal Growth Factor Receptor Variant III and Promotes Tumor Cell Migration and Invasion*. Journal of Biological Chemistry. 290(24). 14798–14809. 16 indexed citations
12.
Jones, Karra A., Andrew S. Gilder, Michael S. Lam, et al.. (2015). Selective coexpression of VEGF receptor 2 in EGFRvIII-positive glioblastoma cells prevents cellular senescence and contributes to their aggressive nature. Neuro-Oncology. 18(5). 667–678. 13 indexed citations
13.
Hu, Jingjing, et al.. (2014). uPAR Induces Expression of Transforming Growth Factor β and Interleukin-4 in Cancer Cells to Promote Tumor-Permissive Conditioning of Macrophages. American Journal Of Pathology. 184(12). 3384–3393. 24 indexed citations
14.
Gilder, Andrew S., et al.. (2013). Fem1b promotes ubiquitylation and suppresses transcriptional activity of Gli1. Biochemical and Biophysical Research Communications. 440(3). 431–436. 16 indexed citations
15.
Gilder, Andrew S., et al.. (2011). Coilin participates in the suppression of RNA polymerase I in response to cisplatin-induced DNA damage. Molecular Biology of the Cell. 22(7). 1070–1079. 45 indexed citations
16.
Gilder, Andrew S., Sandeep Negi, Eric M. George, et al.. (2009). Cajal-body formation correlates with differential coilin phosphorylation in primary and transformed cell lines. Journal of Cell Science. 122(11). 1872–1881. 61 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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