David M. Kaetzel

2.1k total citations
60 papers, 1.7k citations indexed

About

David M. Kaetzel is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David M. Kaetzel has authored 60 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 25 papers in Pathology and Forensic Medicine and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David M. Kaetzel's work include Mechanisms of cancer metastasis (27 papers), Cancer Mechanisms and Therapy (22 papers) and Metastasis and carcinoma case studies (7 papers). David M. Kaetzel is often cited by papers focused on Mechanisms of cancer metastasis (27 papers), Cancer Mechanisms and Therapy (22 papers) and Metastasis and carcinoma case studies (7 papers). David M. Kaetzel collaborates with scholars based in United States, France and Netherlands. David M. Kaetzel's co-authors include John H. Nilson, J. Robert McCorkle, Deqin Ma, Edith H. Postel, Marián Novak, M. Kathryn Leonard, John W. Rooney, Steven J. Berberich, Qingbei Zhang and Mengmeng Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Cancer Research.

In The Last Decade

David M. Kaetzel

59 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Kaetzel United States 25 1.2k 412 248 219 157 60 1.7k
Gonosuke Sonoda United States 17 1.3k 1.0× 264 0.6× 369 1.5× 145 0.7× 310 2.0× 25 2.0k
Malaiyalam Mariappan United States 25 1.4k 1.1× 245 0.6× 259 1.0× 104 0.5× 260 1.7× 63 2.6k
Deborah A. Sanders United Kingdom 21 1.1k 0.9× 107 0.3× 280 1.1× 78 0.4× 78 0.5× 28 2.0k
Katsuichi Sudo Japan 11 1.2k 1.0× 101 0.2× 562 2.3× 132 0.6× 229 1.5× 19 1.9k
Simona Mozzetti Italy 23 1.4k 1.2× 140 0.3× 798 3.2× 226 1.0× 107 0.7× 35 2.3k
Sayumi Shibamoto Japan 20 1.8k 1.5× 139 0.3× 290 1.2× 93 0.4× 152 1.0× 37 2.3k
Yanwen Jiang United States 29 1.3k 1.1× 715 1.7× 459 1.9× 190 0.9× 229 1.5× 104 2.5k
Víctor M. Villalobos United States 23 821 0.7× 94 0.2× 423 1.7× 374 1.7× 71 0.5× 70 1.5k
Makiko Kawaguchi Japan 22 559 0.5× 173 0.4× 312 1.3× 69 0.3× 97 0.6× 72 1.3k
Gibbes R. Johnson United States 26 1.2k 1.0× 79 0.2× 737 3.0× 150 0.7× 232 1.5× 42 1.9k

Countries citing papers authored by David M. Kaetzel

Since Specialization
Citations

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

Fields of papers citing papers by David M. Kaetzel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Kaetzel

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Kaetzel. A scholar is included among the top collaborators of David M. Kaetzel 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 David M. Kaetzel. David M. Kaetzel 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.
Wang, Ying, et al.. (2019). NME1 Drives Expansion of Melanoma Cells with Enhanced Tumor Growth and Metastatic Properties. Molecular Cancer Research. 17(8). 1665–1674. 20 indexed citations
2.
Leonard, M. Kathryn, et al.. (2018). Metastasis Suppressor NME1 Directly Activates Transcription of the ALDOC Gene in Melanoma Cells. Anticancer Research. 38(11). 6059–6068. 10 indexed citations
3.
Leonard, M. Kathryn, J. Robert McCorkle, Marián Novak, et al.. (2017). Identification of a gene expression signature associated with the metastasis suppressor function of NME1: prognostic value in human melanoma. Laboratory Investigation. 98(3). 327–338. 10 indexed citations
4.
Leonard, M. Kathryn, et al.. (2017). Nuclear functions of NME proteins. Laboratory Investigation. 98(2). 211–218. 53 indexed citations
5.
Khatri, Raju, Michal Arad, Ying Wang, et al.. (2017). Harvesting multipotent progenitor cells from a small sample of tonsillar biopsy for clinical applications. Stem Cell Research & Therapy. 8(1). 174–174. 8 indexed citations
6.
Fisher, Matthew, Gautam Adhikary, Daniel Grun, David M. Kaetzel, & Richard L. Eckert. (2015). The Ezh2 polycomb group protein drives an aggressive phenotype in melanoma cancer stem cells and is a target of diet derived sulforaphane. Molecular Carcinogenesis. 55(12). 2024–2036. 50 indexed citations
7.
Li, Qinglin, John Hoff, Marián Novak, et al.. (2012). Integrin-Associated CD151 Drives ErbB2-Evoked Mammary Tumor Onset and Metastasis. Neoplasia. 14(8). 678–IN3. 63 indexed citations
8.
Jarrett, Stuart G., et al.. (2012). NM23 deficiency promotes metastasis in a UV radiation-induced mouse model of human melanoma. Clinical & Experimental Metastasis. 30(1). 25–36. 22 indexed citations
9.
Jarrett, Stuart G., Marián Novak, Sandrine Dabernat, et al.. (2011). Metastasis Suppressor NM23-H1 Promotes Repair of UV-Induced DNA Damage and Suppresses UV-Induced Melanomagenesis. Cancer Research. 72(1). 133–143. 45 indexed citations
10.
Srinivasan, Divyamani, David M. Kaetzel, & Rina Plattner. (2009). Reciprocal regulation of Abl and receptor tyrosine kinases. Cellular Signalling. 21(7). 1143–1150. 35 indexed citations
11.
Kaetzel, David M., J. Robert McCorkle, Marián Novak, Mengmeng Yang, & Stuart G. Jarrett. (2009). Potential contributions of antimutator activity to the metastasis suppressor function of NM23-H1. Molecular and Cellular Biochemistry. 329(1-2). 161–165. 12 indexed citations
12.
Pedigo, Nancy G., et al.. (2008). THE CALCITRIOL ANALOGUE EB1089 IMPAIRS ALVEOLARIZATION AND INDUCES LOCALIZED REGIONS OF INCREASED FIBROBLAST DENSITY IN NEONATAL RAT LUNG. Experimental Lung Research. 34(4). 155–182. 6 indexed citations
13.
Zhang, Qingbei & David M. Kaetzel. (2006). ABSTRACT OF DISSERTATION. 46(4). 1026–9. 4 indexed citations
14.
15.
Zhang, Qingbei, Nancy G. Pedigo, Satyendra S. Shenoy, Kamel Khalili, & David M. Kaetzel. (2005). Purα activates PDGF-A gene transcription via interactions with a G-rich, single-stranded region of the promoter. Gene. 348. 25–32. 19 indexed citations
16.
Ma, Deqin, J. Robert McCorkle, & David M. Kaetzel. (2004). The Metastasis Suppressor NM23-H1 Possesses 3′-5′ Exonuclease Activity. Journal of Biological Chemistry. 279(17). 18073–18084. 79 indexed citations
17.
Maul, Raymond Scott, et al.. (1998). Identification of a Cell Type-specific Enhancer in the Distal 5′-Region of the Platelet-derived Growth Factor A-chain Gene. Journal of Biological Chemistry. 273(50). 33239–33246. 14 indexed citations
18.
Fenstermaker, Robert A., et al.. (1995). The effect of epidermal growth factor receptor (EGFR) expression on in vivo growth of rat C6 glioma cells.. PubMed. 9 Suppl 1. S106–12. 17 indexed citations
19.
Piskurich, Janet F., et al.. (1993). Interferon-γ induces polymeric immunoglobulin receptor mrna in human intestinal epithelial cells by a protein synthesis dependent mechanism. Molecular Immunology. 30(4). 413–421. 55 indexed citations
20.

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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