Chadwick Mullins

857 total citations
18 papers, 718 citations indexed

About

Chadwick Mullins is a scholar working on Molecular Biology, Genetics and Developmental Neuroscience. According to data from OpenAlex, Chadwick Mullins has authored 18 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Genetics and 3 papers in Developmental Neuroscience. Recurrent topics in Chadwick Mullins's work include Genetics and Neurodevelopmental Disorders (8 papers), Epigenetics and DNA Methylation (4 papers) and Cancer-related gene regulation (3 papers). Chadwick Mullins is often cited by papers focused on Genetics and Neurodevelopmental Disorders (8 papers), Epigenetics and DNA Methylation (4 papers) and Cancer-related gene regulation (3 papers). Chadwick Mullins collaborates with scholars based in United States, Germany and South Korea. Chadwick Mullins's co-authors include Denise Bessert, Robert P. Skoff, Zhan Zhang, Mirela Cerghet, M. Saïd Ghandour, Jeremy C. Smith, William Paradee, Ravi Shridhar, John S. Penn and Bruce A. Berkowitz and has published in prestigious journals such as Journal of Neuroscience, Oncogene and Journal of Neurochemistry.

In The Last Decade

Chadwick Mullins

18 papers receiving 708 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chadwick Mullins United States 15 333 162 119 119 83 18 718
Dirk Junghans Germany 17 633 1.9× 124 0.8× 314 2.6× 228 1.9× 54 0.7× 20 1.0k
Stephanie Bielas United States 19 723 2.2× 313 1.9× 181 1.5× 145 1.2× 58 0.7× 44 1.1k
Keiko Nakanishi Japan 17 583 1.8× 92 0.6× 184 1.5× 66 0.6× 111 1.3× 30 989
Naoki Nakaya United States 16 335 1.0× 43 0.3× 167 1.4× 49 0.4× 48 0.6× 23 682
Colette Bouillot France 13 657 2.0× 124 0.8× 324 2.7× 124 1.0× 52 0.6× 14 1.2k
Makoto Iwane Japan 13 714 2.1× 111 0.7× 297 2.5× 159 1.3× 100 1.2× 16 1.0k
Klaus-Armin Nave Germany 8 300 0.9× 101 0.6× 153 1.3× 155 1.3× 43 0.5× 9 812
Suwen Wei Japan 13 261 0.8× 118 0.7× 105 0.9× 60 0.5× 133 1.6× 20 891
Jelena Mojsilovic‐Petrovic United States 13 575 1.7× 46 0.3× 225 1.9× 44 0.4× 199 2.4× 17 1.1k
Holger Hiemisch Germany 11 575 1.7× 193 1.2× 119 1.0× 26 0.2× 57 0.7× 14 809

Countries citing papers authored by Chadwick Mullins

Since Specialization
Citations

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

Fields of papers citing papers by Chadwick Mullins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chadwick Mullins. 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 Chadwick Mullins. The network helps show where Chadwick Mullins may publish in the future.

Co-authorship network of co-authors of Chadwick Mullins

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

All Works

18 of 18 papers shown
1.
Bessert, Denise, Icksoo Lee, Maik Hüttemann, et al.. (2013). Insertion of proteolipid protein into oligodendrocyte mitochondria regulates extracellular pH and adenosine triphosphate. Glia. 62(3). 356–373. 15 indexed citations
2.
Hüttemann, Maik, Zhan Zhang, Chadwick Mullins, et al.. (2009). Different Proteolipid Protein Mutants Exhibit Unique Metabolic Defects. ASN NEURO. 1(3). 22 indexed citations
3.
Smith, Sean M., Jason M. Uslaner, Lihang Yao, et al.. (2008). The Behavioral and Neurochemical Effects of a Novel d-Amino Acid Oxidase Inhibitor Compound 8 [4 H-Thieno [3,2-b]pyrrole-5-carboxylic Acid] and d-Serine. Journal of Pharmacology and Experimental Therapeutics. 328(3). 921–930. 73 indexed citations
4.
Cerghet, Mirela, Robert P. Skoff, Denise Bessert, et al.. (2006). Proliferation and Death of Oligodendrocytes and Myelin Proteins Are Differentially Regulated in Male and Female Rodents. Journal of Neuroscience. 26(5). 1439–1447. 152 indexed citations
5.
Deng, Xiyun, Sunita Bhagat, Zhong Dong, et al.. (2006). Tissue inhibitor of metalloproteinase-3 induces apoptosis in prostate cancer cells and confers increased sensitivity to paclitaxel. European Journal of Cancer. 42(18). 3267–3273. 26 indexed citations
6.
Zhang, Zhan, et al.. (2004). Comparison of in vivo and in vitro subcellular localization of estrogen receptors α and β in oligodendrocytes. Journal of Neurochemistry. 89(3). 674–684. 59 indexed citations
7.
Nemeth, Jeffrey A., Michael L. Cher, Zhou Zhao, et al.. (2003). Inhibition of αvβ3 integrin reduces angiogenesis, bone turnover, and tumor cell proliferation in experimental prostate cancer bone metastases. Clinical & Experimental Metastasis. 20(5). 413–420. 63 indexed citations
8.
Nemeth, Jeffrey A., et al.. (2000). Persistence of human vascular endothelium in experimental human prostate cancer bone tumors. Clinical & Experimental Metastasis. 18(3). 231–237. 14 indexed citations
9.
Berkowitz, Bruce A., R. A. Lukaszew, Chadwick Mullins, & John S. Penn. (1998). Impaired hyaloidal circulation function and uncoordinated ocular growth patterns in experimental retinopathy of prematurity.. PubMed. 39(2). 391–6. 74 indexed citations
10.
Wang, Liang, William Paradee, Chadwick Mullins, et al.. (1997). Aphidicolin-Induced FRA3B Breakpoints Cluster in Two Distinct Regions. Genomics. 41(3). 485–488. 44 indexed citations
11.
Shridhar, Viji, Xiaohong Wang, Ravi Shridhar, et al.. (1997). Mutations in the arginine-rich protein gene (ARP) in pancreatic cancer. Oncogene. 14(18). 2213–2216. 14 indexed citations
12.
Shridhar, Viji, Liang Wang, Rita Rosati, et al.. (1997). Frequent breakpoints in the region surrounding FRA3B in sporadic renal cell carcinomas. Oncogene. 14(11). 1269–1277. 25 indexed citations
13.
Paradee, William, Charles M. Wilke, Liang Wang, et al.. (1996). A 350-kb Cosmid Contig in 3p14.2 That Crosses the t(3;8) Hereditary Renal Cell Carcinoma Translocation Breakpoint and 17 Aphidicolin-Induced FRA3B Breakpoints. Genomics. 35(1). 87–93. 48 indexed citations
14.
Shridhar, Viji, Ravi Shridhar, Chadwick Mullins, et al.. (1996). A gene from human chromosomal band 3p21.1 encodes a highly conserved arginine-rich protein and is mutated in renal cell carcinomas.. PubMed. 12(9). 1931–9. 35 indexed citations
15.
Paradee, William, Chadwick Mullins, Thomas W. Glover, et al.. (1995). Precise Localization of Aphidicolin-Induced Breakpoints on the Short Arm of Human Chromosome 3. Genomics. 27(2). 358–361. 39 indexed citations
16.
Paradee, William, Vidya Jayasankar, & Chadwick Mullins. (1994). Molecular characterization of the 3p14.2 constitutive fragile site. The American Journal of Human Genetics. 55. 4 indexed citations
17.
Krebs, Christopher J., Joseph Horton, Chadwick Mullins, William Paradee, & R.T. Taggart. (1993). D11S971 CATT polymorphism (RC27) located near the MEN1 locus at 11q13. Human Molecular Genetics. 2(6). 825–825. 5 indexed citations
18.
Taggart, R.T., et al.. (1993). D11S970 CATT polymorphism (RC29) located near the MEN1 locus at 11q13. Human Molecular Genetics. 2(3). 336–336. 6 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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