Matthew D. Nitz

898 total citations
10 papers, 739 citations indexed

About

Matthew D. Nitz is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Matthew D. Nitz has authored 10 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Matthew D. Nitz's work include Cancer Cells and Metastasis (4 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Glycosylation and Glycoproteins Research (2 papers). Matthew D. Nitz is often cited by papers focused on Cancer Cells and Metastasis (4 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Glycosylation and Glycoproteins Research (2 papers). Matthew D. Nitz collaborates with scholars based in United States, Ukraine and Spain. Matthew D. Nitz's co-authors include Dan Theodorescu, Henry F. Frierson, Steven C. Smith, Shibu Thomas, Jonathan B. Overdevest, Michael A. Harding, Mark R. Conaway, Garret M. Hampton, Gary Oxford and Zhong Wu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Cancer Research.

In The Last Decade

Matthew D. Nitz

10 papers receiving 736 citations

Peers

Matthew D. Nitz

MB

ONCOL

PRM

CR

SURGE

Junko Matsuoka Japan

D. Fan United States

Gvantsa Kharaishvili Czechia

Yanhua Xuan China

H E Zhau United States

Romina Dossi Italy

Francesca De Bacco Italy

Dawn Baker United Kingdom

Christopher R. Shepard United States

Junko Matsuoka Japan

Matthew D. Nitz

377 ×1.0

MB

371 ×1.6

ONCOL

120 ×0.6

PRM

230 ×1.6

CR

84 ×0.8

SURGE

Citations per year, relative to Matthew D. Nitz Matthew D. Nitz (= 1×) peers Junko Matsuoka

Countries citing papers authored by Matthew D. Nitz

Since Specialization

Citations

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

Fields of papers citing papers by Matthew D. Nitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew D. Nitz

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

All Works

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10 of 10 papers shown

1.

Yan, Chao, Degang Liu, Liwei Li, et al.. (2014). Discovery and characterization of small molecules that target the GTPase Ral. Nature. 515(7527). 443–447. 112 indexed citations

2.

Thomas, Shibu, Michael A. Harding, Steven C. Smith, et al.. (2012). CD24 Is an Effector of HIF-1–Driven Primary Tumor Growth and Metastasis. Cancer Research. 72(21). 5600–5612. 117 indexed citations

3.

Overdevest, Jonathan B., Jason E. Duex, Shibu Thomas, et al.. (2012). CD24 expression is important in male urothelial tumorigenesis and metastasis in mice and is androgen regulated. Proceedings of the National Academy of Sciences. 109(51). E3588–96. 82 indexed citations

4.

Nitz, Matthew D., Michael A. Harding, Steven C. Smith, Shibu Thomas, & Dan Theodorescu. (2011). RREB1 Transcription Factor Splice Variants in Urologic Cancer. American Journal Of Pathology. 179(1). 477–486. 17 indexed citations

5.

Thomas, Shibu, Jonathan B. Overdevest, Matthew D. Nitz, et al.. (2010). Src and Caveolin-1 Reciprocally Regulate Metastasis via a Common Downstream Signaling Pathway in Bladder Cancer. Cancer Research. 71(3). 832–841. 79 indexed citations

6.

Smith, Steven C., Matthew D. Nitz, Henry F. Frierson, et al.. (2009). Profiling Bladder Cancer Organ Site-Specific Metastasis Identifies LAMC2 as a Novel Biomarker of Hematogenous Dissemination. American Journal Of Pathology. 174(2). 371–379. 29 indexed citations

7.

Nitz, Matthew D., Michael A. Harding, & Dan Theodorescu. (2008). Invasion and Metastasis Models for Studying RhoGDI2 in Bladder Cancer. Methods in enzymology on CD-ROM/Methods in enzymology. 439. 219–233. 16 indexed citations

8.

Gordon, Gavin J., et al.. (2006). Differential diagnosis of solitary lung nodules with gene expression ratios. Journal of Thoracic and Cardiovascular Surgery. 132(3). 621–627. 5 indexed citations

9.

Smith, Steven C., Gary Oxford, Zhong Wu, et al.. (2006). The Metastasis-Associated Gene CD24 Is Regulated by Ral GTPase and Is a Mediator of Cell Proliferation and Survival in Human Cancer. Cancer Research. 66(4). 1917–1922. 128 indexed citations

10.

Gordon, Gavin J., Graham N. Rockwell, Roderick V. Jensen, et al.. (2005). Identification of Novel Candidate Oncogenes and Tumor Suppressors in Malignant Pleural Mesothelioma Using Large-Scale Transcriptional Profiling. American Journal Of Pathology. 166(6). 1827–1840. 154 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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