Andrew M. Silverman

1.2k total citations
7 papers, 156 citations indexed

About

Andrew M. Silverman is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Andrew M. Silverman has authored 7 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Immunology. Recurrent topics in Andrew M. Silverman's work include Microbial Metabolic Engineering and Bioproduction (4 papers), Gene Regulatory Network Analysis (3 papers) and CAR-T cell therapy research (2 papers). Andrew M. Silverman is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (4 papers), Gene Regulatory Network Analysis (3 papers) and CAR-T cell therapy research (2 papers). Andrew M. Silverman collaborates with scholars based in United States, Canada and Israel. Andrew M. Silverman's co-authors include Gregory Stephanopoulos, Kangjian Qiao, Andreas E. Vasdekis, Alice Dohnálková, Christopher J. Williams, John Cliff, George Stephanopoulos, Brett L. Hayden, James C. Wittig and Martin M. Malawer and has published in prestigious journals such as Nature Communications, PLoS ONE and Cancer Research.

In The Last Decade

Andrew M. Silverman

7 papers receiving 155 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew M. Silverman United States	6	115	64	16	14	13	7	156
Alice Williart France	6	88 0.8×	20 0.3×	3 0.2×	8 0.6×	4 0.3×	7	141
Franziska Koser Germany	7	83 0.7×	14 0.2×	2 0.1×	11 0.8×	2 0.2×	9	164
Marzia Di Filippo Italy	7	173 1.5×	32 0.5×	3 0.2×	4 0.3×	4 0.3×	9	199
Hayley J. Luxton United Kingdom	6	140 1.2×	11 0.2×	8 0.5×	14 1.0×	2 0.2×	6	168
Tonje H. Haukaas Norway	7	137 1.2×	12 0.2×	4 0.3×	31 2.2×	3 0.2×	9	206
Oleg Chen Ukraine	7	41 0.4×	9 0.1×	11 0.7×	20 1.4×	2 0.2×	9	95
Yi-Ting Wang United States	7	132 1.1×	20 0.3×		9 0.6×	5 0.4×	13	187
Sarah Venus United States	5	224 1.9×	7 0.1×	15 0.9×	6 0.4×	1 0.1×	7	265
Guannan Kuang United States	4	105 0.9×	34 0.5×		13 0.9×	3 0.2×	4	145
Jessy Brocheton France	4	48 0.4×	68 1.1×	1 0.1×	20 1.4×	5 0.4×	4	144

Countries citing papers authored by Andrew M. Silverman

Since Specialization

Citations

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

Fields of papers citing papers by Andrew M. Silverman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew M. Silverman

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

All Works

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7 of 7 papers shown

1.

Gartrell, Robyn D., Andrew Chen, Emanuelle M. Rizk, et al.. (2020). Linking Transcriptomic and Imaging Data Defines Features of a Favorable Tumor Immune Microenvironment and Identifies a Combination Biomarker for Primary Melanoma. Cancer Research. 80(5). 1078–1087. 17 indexed citations

2.

Trager, Megan H., Robyn D. Gartrell, Emanuelle M. Rizk, et al.. (2020). Distinguishing melanophages from tumor in melanoma patients treated with talimogene laherparepvec. Melanoma Research. 30(4). 410–415. 5 indexed citations

3.

Vasdekis, Andreas E., Andrew M. Silverman, Christopher J. Williams, et al.. (2019). Eliciting the impacts of cellular noise on metabolic trade-offs by quantitative mass imaging. Nature Communications. 10(1). 848–848. 26 indexed citations

4.

Vasdekis, Andreas E., Andrew M. Silverman, & Gregory Stephanopoulos. (2017). Exploiting Bioprocessing Fluctuations to Elicit the Mechanistics of De Novo Lipogenesis in Yarrowia lipolytica. PLoS ONE. 12(1). e0168889–e0168889. 6 indexed citations

5.

Silverman, Andrew M., et al.. (2016). Functional overexpression and characterization of lipogenesis-related genes in the oleaginous yeast Yarrowia lipolytica. Applied Microbiology and Biotechnology. 100(8). 3781–3798. 81 indexed citations

6.

Vasdekis, Andreas E., Andrew M. Silverman, & Gregory Stephanopoulos. (2015). Origins of Cell-to-Cell Bioprocessing Diversity and Implications of the Extracellular Environment Revealed at the Single-Cell Level. Scientific Reports. 5(1). 17689–17689. 12 indexed citations

7.

Wittig, James C., et al.. (2010). Osteosarcoma of the Proximal Tibia: Limb-Sparing Resection and Reconstruction with a Modular Segmental Proximal Tibia Tumor Prosthesis. Annals of Surgical Oncology. 17(11). 3021–3021. 9 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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