Michael S. Goldberg

10.0k total citations · 5 hit papers
40 papers, 5.7k citations indexed

About

Michael S. Goldberg is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Michael S. Goldberg has authored 40 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 13 papers in Oncology and 9 papers in Immunology. Recurrent topics in Michael S. Goldberg's work include RNA Interference and Gene Delivery (10 papers), Cancer Immunotherapy and Biomarkers (7 papers) and Immunotherapy and Immune Responses (6 papers). Michael S. Goldberg is often cited by papers focused on RNA Interference and Gene Delivery (10 papers), Cancer Immunotherapy and Biomarkers (7 papers) and Immunotherapy and Immune Responses (6 papers). Michael S. Goldberg collaborates with scholars based in United States, Switzerland and Canada. Michael S. Goldberg's co-authors include Róbert Langer, Xinqiao Jia, Kent W. Mouw, Panagiotis A. Konstantinopoulos, Alan D. D’Andrea, Phillip A. Sharp, Zohreh Amoozgar, Christina Hartl, Chun Gwon Park and Daniela Schmid and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael S. Goldberg

40 papers receiving 5.7k citations

Hit Papers

Nanostructured materials for applications in drug deliver... 2007 2026 2013 2019 2007 2016 2019 2017 2017 250 500 750

Peers

Michael S. Goldberg
Lesley G. Ellies United States
In‐San Kim South Korea
Zohreh Amoozgar United States
Xiao Zhao China
Zhongyun Dong United States
Pin Wang United States
Douglas A. Steeber United States
Joan K. Heath Australia
Lesley G. Ellies United States
Michael S. Goldberg
Citations per year, relative to Michael S. Goldberg Michael S. Goldberg (= 1×) peers Lesley G. Ellies

Countries citing papers authored by Michael S. Goldberg

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Goldberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael S. Goldberg

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

All Works

20 of 20 papers shown
1.
Goldberg, Michael S., et al.. (2023). Impact of diabetes on COVID-19 patient health outcomes in a vulnerable racial minority community. PLoS ONE. 18(7). e0286252–e0286252. 3 indexed citations
2.
Bou-Puerto, Regina, et al.. (2019). CRISPR-Mediated Editing of the B Cell Receptor in Primary Human B Cells. iScience. 12. 369–378. 39 indexed citations
3.
Park, Chun Gwon, et al.. (2018). Extended release of perioperative immunotherapy prevents tumor recurrence and eliminates metastases. Science Translational Medicine. 10(433). 259 indexed citations
4.
Kedves, Alexia T., Scott Gleim, Xiaoyou Liang, et al.. (2017). Recurrent ubiquitin B silencing in gynecological cancers establishes dependence on ubiquitin C. Journal of Clinical Investigation. 127(12). 4554–4568. 23 indexed citations
5.
Derks, Sarah, Katie S. Nason, Xiaoyun Liao, et al.. (2015). Epithelial PD-L2 Expression Marks Barrett's Esophagus and Esophageal Adenocarcinoma. Cancer Immunology Research. 3(10). 1123–1129. 114 indexed citations
6.
Talekar, Meghna, et al.. (2015). Cosilencing of PKM-2 and MDR-1 Sensitizes Multidrug-Resistant Ovarian Cancer Cells to Paclitaxel in a Murine Model of Ovarian Cancer. Molecular Cancer Therapeutics. 14(7). 1521–1531. 44 indexed citations
7.
Wang, Lei, Zohreh Amoozgar, Jing Huang, et al.. (2015). Decitabine Enhances Lymphocyte Migration and Function and Synergizes with CTLA-4 Blockade in a Murine Ovarian Cancer Model. Cancer Immunology Research. 3(9). 1030–1041. 132 indexed citations
8.
Huang, Jing, Lei Wang, Zohreh Amoozgar, et al.. (2015). The PARP1 inhibitor BMN 673 exhibits immunoregulatory effects in a Brca1 −/− murine model of ovarian cancer. Biochemical and Biophysical Research Communications. 463(4). 551–556. 119 indexed citations
9.
Amoozgar, Zohreh & Michael S. Goldberg. (2014). Targeting myeloid cells using nanoparticles to improve cancer immunotherapy. Advanced Drug Delivery Reviews. 91. 38–51. 53 indexed citations
10.
Bell, Rachel E., Mehdi Khaled, Dvir Netanely, et al.. (2013). Transcription Factor/microRNA Axis Blocks Melanoma Invasion Program by miR-211 Targeting NUAK1. Journal of Investigative Dermatology. 134(2). 441–451. 90 indexed citations
11.
Goldberg, Michael S. & Phillip A. Sharp. (2012). Pyruvate kinase M2-specific siRNA induces apoptosis and tumor regression. The Journal of Experimental Medicine. 209(2). 217–224. 192 indexed citations
12.
Schroeder, Avi, Michael S. Goldberg, Christian J. Kastrup, et al.. (2012). Remotely Activated Protein-Producing Nanoparticles. Nano Letters. 12(6). 2685–2689. 90 indexed citations
13.
Goldberg, Michael S., Deyin Xing, Yin Ren, et al.. (2010). Nanoparticle-mediated delivery of siRNA targeting Parp1 extends survival of mice bearing tumors derived from Brca1-deficient ovarian cancer cells. Proceedings of the National Academy of Sciences. 108(2). 745–750. 83 indexed citations
14.
Nguyen, David N., James Lu, Michael S. Goldberg, et al.. (2009). Drug Delivery–mediated Control of RNA Immunostimulation. Molecular Therapy. 17(9). 1555–1562. 25 indexed citations
15.
Cho, Seung‐Woo, Michael S. Goldberg, Qiaobing Xu, et al.. (2009). Lipid‐Like Nanoparticles for Small Interfering RNA Delivery to Endothelial Cells. Advanced Functional Materials. 19(19). 3112–3118. 48 indexed citations
16.
Svensson, Robert, Zuhair K. Ballas, J. Robert Dorkin, et al.. (2008). Assessing siRNA Pharmacodynamics in a Luciferase-expressing Mouse. Molecular Therapy. 16(12). 1995–2001. 19 indexed citations
17.
Epiphânio, Sabrina, Sebastian A. Mikolajczak, Lígia Antunes Gonçalves, et al.. (2008). Heme Oxygenase-1 Is an Anti-Inflammatory Host Factor that Promotes Murine Plasmodium Liver Infection. Cell Host & Microbe. 3(5). 331–338. 104 indexed citations
18.
John, Matthias, Rainer Constien, Akin Akinc, et al.. (2007). Effective RNAi-mediated gene silencing without interruption of the endogenous microRNA pathway. Nature. 449(7163). 745–747. 111 indexed citations
19.
Mei, Ying, Michael S. Goldberg, & Daniel G. Anderson. (2007). The development of high-throughput screening approaches for stem cell engineering. Current Opinion in Chemical Biology. 11(4). 388–393. 29 indexed citations
20.
Narendran, Aru, et al.. (2005). Differentiation of rhabdomyosarcoma cell lines using retinoic acid. Pediatric Blood & Cancer. 47(6). 773–784. 29 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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