Paul D. Soloway

8.2k total citations
91 papers, 6.3k citations indexed

About

Paul D. Soloway is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Paul D. Soloway has authored 91 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 41 papers in Cancer Research and 23 papers in Oncology. Recurrent topics in Paul D. Soloway's work include Protease and Inhibitor Mechanisms (36 papers), Epigenetics and DNA Methylation (25 papers) and Blood Coagulation and Thrombosis Mechanisms (22 papers). Paul D. Soloway is often cited by papers focused on Protease and Inhibitor Mechanisms (36 papers), Epigenetics and DNA Methylation (25 papers) and Blood Coagulation and Thrombosis Mechanisms (22 papers). Paul D. Soloway collaborates with scholars based in United States, Canada and United Kingdom. Paul D. Soloway's co-authors include Michael J. Higgins, Zhiping Wang, R Jüttermann, Christoph Plass, Xu Wang, Andrew G. Clark, Ambra Pozzi, Simone Wagner, Humphrey Gardner and Lindsey A. Miles and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Paul D. Soloway

89 papers receiving 6.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul D. Soloway United States 48 3.2k 2.4k 1.4k 1.3k 776 91 6.3k
Beat W. Schäfer Switzerland 57 7.7k 2.4× 2.0k 0.8× 1.1k 0.8× 482 0.4× 426 0.5× 174 9.8k
W. Scott Argraves United States 52 4.5k 1.4× 2.0k 0.8× 1.0k 0.7× 928 0.7× 1.1k 1.4× 99 9.0k
Lorenzo Silengo Italy 54 5.6k 1.8× 832 0.3× 895 0.6× 650 0.5× 717 0.9× 145 9.1k
Camilynn I. Brannan United States 34 6.1k 1.9× 1.7k 0.7× 935 0.7× 2.6k 1.9× 395 0.5× 46 10.2k
Fiorella Altruda Italy 50 5.1k 1.6× 577 0.2× 822 0.6× 528 0.4× 818 1.1× 156 9.0k
Nobuyuki Takakura Japan 54 5.5k 1.7× 1.4k 0.6× 2.8k 2.0× 361 0.3× 1.2k 1.5× 182 11.1k
Michael Kiefer United States 42 4.1k 1.3× 1.2k 0.5× 1.1k 0.8× 756 0.6× 218 0.3× 68 6.9k
Frank N. van Leeuwen Netherlands 45 3.3k 1.0× 480 0.2× 593 0.4× 353 0.3× 850 1.1× 112 6.7k
Franklin Peale United States 36 3.8k 1.2× 1.3k 0.5× 1.9k 1.3× 528 0.4× 285 0.4× 70 7.6k
Achim Leutz Germany 51 6.5k 2.0× 1.1k 0.4× 1.5k 1.1× 1.4k 1.1× 1.0k 1.3× 116 10.0k

Countries citing papers authored by Paul D. Soloway

Since Specialization
Citations

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

Fields of papers citing papers by Paul D. Soloway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul D. Soloway. 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 Paul D. Soloway. The network helps show where Paul D. Soloway may publish in the future.

Co-authorship network of co-authors of Paul D. Soloway

This figure shows the co-authorship network connecting the top 25 collaborators of Paul D. Soloway. A scholar is included among the top collaborators of Paul D. Soloway 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 Paul D. Soloway. Paul D. Soloway 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
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Lee, Seoyeon, Luye An, Paul D. Soloway, & Andrew C. White. (2023). Dynamic regulation of chromatin accessibility during melanocyte stem cell activation. Pigment Cell & Melanoma Research. 36(6). 531–541. 3 indexed citations
4.
Francisco, Adam B., Jine Li, Matt Kanke, et al.. (2022). Chemical, Molecular, and Single-nucleus Analysis Reveal Chondroitin Sulfate Proteoglycan Aberrancy in Fibrolamellar Carcinoma. Cancer Research Communications. 2(7). 663–678. 7 indexed citations
5.
Lee, Seoyeon, Hui Gyu Park, Roman Spektor, et al.. (2022). Remodeling of gene regulatory networks underlying thermogenic stimuli-induced adipose beiging. Communications Biology. 5(1). 584–584. 12 indexed citations
6.
Spektor, Roman, Nathaniel D. Tippens, Claudia A. Mimoso, & Paul D. Soloway. (2019). methyl-ATAC-seq measures DNA methylation at accessible chromatin. Genome Research. 29(6). 969–977. 25 indexed citations
7.
Chu, Erin T., et al.. (2015). Long non‐coding RNA regulation of reproduction and development. Molecular Reproduction and Development. 82(12). 932–956. 143 indexed citations
8.
DeVito, Loren M., et al.. (2011). ImprintedRasgrf1expression in neonatal mice affects olfactory learning and memory. Genes Brain & Behavior. 10(4). 392–403. 11 indexed citations
9.
Kandalam, Vijay, Ratnadeep Basu, Thomas Abraham, et al.. (2010). TIMP2 Deficiency Accelerates Adverse Post–Myocardial Infarction Remodeling Because of Enhanced MT1-MMP Activity Despite Lack of MMP2 Activation. Circulation Research. 106(4). 796–808. 135 indexed citations
10.
Park, Yoon Jung, et al.. (2009). Imprint switch mutations at Rasgrf1 support conflict hypothesis of imprinting and define a growth control mechanism upstream of IGF1. Mammalian Genome. 20(9-10). 654–663. 28 indexed citations
11.
Soloway, Paul D.. (2006). Gene Nutrient Interactions and Evolution. Nutrition Reviews. 64(5). 52–54. 3 indexed citations
12.
Yoon, Bong-June, M J Preston, Brian N. Bundy, et al.. (2004). Tissue Inhibitor of Metalloproteinase 1 Regulates Resistance to Infection. Infection and Immunity. 73(1). 661–665. 45 indexed citations
13.
Coussens, Lisa M., Steven D. Shapiro, Paul D. Soloway, & Zena Werb. (2003). Models for Gain-of-Function and Loss-of-Function of MMPs: Transgenic and Gene Targeted Mice. Humana Press eBooks. 151. 149–179. 20 indexed citations
14.
Wu, Yue-Zhong, Gustavo Leone, Jo Peters, et al.. (2002). Structural characterization of Rasgrf1 and a novel linked imprinted locus. Gene. 291(1-2). 287–297. 28 indexed citations
15.
Knäuper, Vera, et al.. (2002). Cellular activation of proMMP‐13 by MT1‐MMP depends on the C‐terminal domain of MMP‐13. FEBS Letters. 532(1-2). 127–130. 96 indexed citations
16.
Vaillant, Brian, Mónica G. Chiaramonte, Allen W. Cheever, Paul D. Soloway, & Thomas A. Wynn. (2001). Regulation of Hepatic Fibrosis and Extracellular Matrix Genes by the Th Response: New Insight into the Role of Tissue Inhibitors of Matrix Metalloproteinases. The Journal of Immunology. 167(12). 7017–7026. 110 indexed citations
17.
Tóth, Márta, M. Margarida Bernardo, David C. Gervasi, et al.. (2000). Tissue Inhibitor of Metalloproteinase (TIMP)-2 Acts Synergistically with Synthetic Matrix Metalloproteinase (MMP) Inhibitors but Not with TIMP-4 to Enhance the (Membrane Type 1)-MMP-dependent Activation of Pro-MMP-2. Journal of Biological Chemistry. 275(52). 41415–41423. 121 indexed citations
18.
Wang, Zhiping, R Jüttermann, & Paul D. Soloway. (2000). TIMP-2 Is Required for Efficient Activation of proMMP-2 in Vivo. Journal of Biological Chemistry. 275(34). 26411–26415. 320 indexed citations
19.
Eddy, Allison A., Heungsoo Kim, Jesús M. López-Guisa, et al.. (2000). Interstitial fibrosis in mice with overload proteinuria: Deficiency of TIMP-1 is not protective. Kidney International. 58(2). 618–628. 106 indexed citations
20.
Lijnen, Roger, Paul D. Soloway, & D Collen. (1999). Tissue inhibitor of matrix metalloproteinases-1 (TIMP-1) impairs arterial neointima formation after vascular injury in mice. Thrombosis and Haemostasis. 524–524. 1 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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