Moshe C. Silverstein

1.7k total citations · 1 hit paper
7 papers, 637 citations indexed

About

Moshe C. Silverstein is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Moshe C. Silverstein has authored 7 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Genetics. Recurrent topics in Moshe C. Silverstein's work include Bioinformatics and Genomic Networks (3 papers), Elasticity and Material Modeling (2 papers) and Connective tissue disorders research (2 papers). Moshe C. Silverstein is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Elasticity and Material Modeling (2 papers) and Connective tissue disorders research (2 papers). Moshe C. Silverstein collaborates with scholars based in United States and Japan. Moshe C. Silverstein's co-authors include Avi Ma’ayan, Denis Torre, Alexander Lachmann, Alexandra Keenan, Kathleen M. Jagodnik, Lily Wang, J Lee, Zichen Wang, Brian M. Schilder and Gregory W. Gundersen and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Moshe C. Silverstein

7 papers receiving 636 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Massive mining of publicly available RNA-seq data from human and mouse

2018 411 citations Alexander Lachmann, Denis Torre et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Moshe C. Silverstein United States	6	429	104	73	58	56	7	637
Laurent Winckers Netherlands	3	348 0.8×	91 0.9×	41 0.6×	56 1.0×	52 0.9×	4	534
Yasunobu Okamura Japan	13	547 1.3×	111 1.1×	147 2.0×	36 0.6×	75 1.3×	25	815
Mirko Francesconi Spain	15	508 1.2×	105 1.0×	103 1.4×	60 1.0×	70 1.3×	24	788
Ilya Kupershmidt Sweden	9	239 0.6×	83 0.8×	41 0.6×	53 0.9×	79 1.4×	11	467
Mahmoud M. Ibrahim Germany	11	646 1.5×	133 1.3×	68 0.9×	67 1.2×	90 1.6×	13	864
Pau Badia-i-Mompel Germany	6	442 1.0×	76 0.7×	46 0.6×	40 0.7×	69 1.2×	9	695
Zhuoqing Fang United States	10	396 0.9×	73 0.7×	49 0.7×	47 0.8×	87 1.6×	24	657
Joseph N. McLaughlin United States	14	568 1.3×	104 1.0×	40 0.5×	50 0.9×	31 0.6×	21	991
Andy H. Vo United States	15	511 1.2×	81 0.8×	61 0.8×	50 0.9×	24 0.4×	26	793
Sara J.C. Gosline United States	15	638 1.5×	106 1.0×	31 0.4×	93 1.6×	46 0.8×	31	987

Countries citing papers authored by Moshe C. Silverstein

Since Specialization

Citations

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

Fields of papers citing papers by Moshe C. Silverstein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moshe C. Silverstein. 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 Moshe C. Silverstein. The network helps show where Moshe C. Silverstein may publish in the future.

Co-authorship network of co-authors of Moshe C. Silverstein

This figure shows the co-authorship network connecting the top 25 collaborators of Moshe C. Silverstein. A scholar is included among the top collaborators of Moshe C. Silverstein 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 Moshe C. Silverstein. Moshe C. Silverstein 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.

Lachmann, Alexander, Denis Torre, Alexandra Keenan, et al.. (2018). Massive mining of publicly available RNA-seq data from human and mouse. Nature Communications. 9(1). 1366–1366. 411 indexed citations breakdown →

2.

Clarke, Daniel, Maxim V. Kuleshov, Brian M. Schilder, et al.. (2018). eXpression2Kinases (X2K) Web: linking expression signatures to upstream cell signaling networks. Nucleic Acids Research. 46(W1). W171–W179. 133 indexed citations

3.

Wang, Zichen, et al.. (2018). Drug Gene Budger (DGB): an application for ranking drugs to modulate a specific gene based on transcriptomic signatures. Bioinformatics. 35(7). 1247–1248. 24 indexed citations

4.

Asakura, Tetsuo, et al.. (2017). Characterization of water in hydrated Bombyx mori silk fibroin fiber and films by 2H NMR relaxation and 13C solid state NMR. Acta Biomaterialia. 50. 322–333. 27 indexed citations

5.

Silverstein, Moshe C., et al.. (2016). Mechanical, structural, and dynamical modifications of cholesterol exposed porcine aortic elastin. Biophysical Chemistry. 218. 47–57. 5 indexed citations

6.

Silverstein, Moshe C., et al.. (2015). 13 C, 2 H NMR Studies of Structural and Dynamical Modifications of Glucose-Exposed Porcine Aortic Elastin. Biophysical Journal. 108(7). 1758–1772. 17 indexed citations

7.

Silverstein, Moshe C., et al.. (2013). The role of mode of delivery on elastic fiber architecture and vaginal vault elasticity: A rodent model study. Journal of the mechanical behavior of biomedical materials. 29. 190–198. 20 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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