David J. Goldhamer

4.7k total citations
57 papers, 3.6k citations indexed

About

David J. Goldhamer is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, David J. Goldhamer has authored 57 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 11 papers in Genetics and 11 papers in Genetics. Recurrent topics in David J. Goldhamer's work include Muscle Physiology and Disorders (31 papers), Pluripotent Stem Cells Research (8 papers) and Heterotopic Ossification and Related Conditions (8 papers). David J. Goldhamer is often cited by papers focused on Muscle Physiology and Disorders (31 papers), Pluripotent Stem Cells Research (8 papers) and Heterotopic Ossification and Related Conditions (8 papers). David J. Goldhamer collaborates with scholars based in United States, Canada and Israel. David J. Goldhamer's co-authors include Masakazu Yamamoto, Jennifer C. J. Chen, Michael N. Wosczyna, Charles P. Emerson, Arpita Biswas, Shoko Yamamoto, Moshe Shani, Alexander Faerman, Brian P. Brunk and Stephen J. Tapscott and has published in prestigious journals such as Science, Cell and Nucleic Acids Research.

In The Last Decade

David J. Goldhamer

57 papers receiving 3.5k 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 J. Goldhamer United States 32 2.6k 630 593 570 549 57 3.6k
Michael W. Starbuck United States 19 3.2k 1.2× 703 1.1× 498 0.8× 310 0.5× 227 0.4× 24 4.8k
Andrew T. Dudley United States 22 2.9k 1.1× 681 1.1× 468 0.8× 425 0.7× 168 0.3× 44 4.3k
Steven Mumm United States 35 2.2k 0.8× 1.2k 2.0× 1.3k 2.2× 345 0.6× 311 0.6× 126 5.2k
J. Douglas Coffin United States 33 3.0k 1.2× 859 1.4× 251 0.4× 281 0.5× 224 0.4× 49 4.0k
Sigmar Stricker Germany 36 2.6k 1.0× 825 1.3× 422 0.7× 259 0.5× 316 0.6× 74 3.5k
Corrinne G. Lobe Canada 31 3.4k 1.3× 871 1.4× 174 0.3× 731 1.3× 331 0.6× 48 5.3k
R. Scott Thies United States 24 2.6k 1.0× 342 0.5× 378 0.6× 476 0.8× 280 0.5× 31 3.5k
An Zwijsen Belgium 35 3.4k 1.3× 454 0.7× 159 0.3× 539 0.9× 457 0.8× 87 4.7k
Dmitry A. Ovchinnikov Australia 23 1.9k 0.7× 542 0.9× 367 0.6× 305 0.5× 149 0.3× 67 2.9k
Anders Thornell Sweden 17 2.4k 0.9× 501 0.8× 501 0.8× 406 0.7× 220 0.4× 29 3.6k

Countries citing papers authored by David J. Goldhamer

Since Specialization
Citations

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

Fields of papers citing papers by David J. Goldhamer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Goldhamer

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Goldhamer. A scholar is included among the top collaborators of David J. Goldhamer 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 J. Goldhamer. David J. Goldhamer 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.
Pandey, Pratima, Changsong Yang, Bing Li, et al.. (2024). Spatiotemporal coordination of actin regulators generates invasive protrusions in cell–cell fusion. Nature Cell Biology. 26(11). 1860–1877. 5 indexed citations
2.
Lees‐Shepard, John B. & David J. Goldhamer. (2018). Stem cells and heterotopic ossification: Lessons from animal models. Bone. 109. 178–186. 45 indexed citations
3.
Lees‐Shepard, John B., Masakazu Yamamoto, Arpita Biswas, et al.. (2018). Activin-dependent signaling in fibro/adipogenic progenitors causes fibrodysplasia ossificans progressiva. Nature Communications. 9(1). 471–471. 150 indexed citations
4.
Dey, Devaveena, David J. Goldhamer, & Paul B. Yu. (2015). Contributions of Muscle-Resident Progenitor Cells to Homeostasis and Disease. PubMed. 1(4). 175–188. 9 indexed citations
5.
Wood, William M., et al.. (2013). MyoD-expressing progenitors are essential for skeletal myogenesis and satellite cell development. Developmental Biology. 384(1). 114–127. 53 indexed citations
6.
Zhang, Xiping, Samir P. Patel, John J. McCarthy, et al.. (2011). A non-canonical E-box within the MyoD core enhancer is necessary for circadian expression in skeletal muscle. Nucleic Acids Research. 40(8). 3419–3430. 46 indexed citations
7.
Yamamoto, Masakazu, et al.. (2009). A multifunctional reporter mouse line for Cre‐ and FLP‐dependent lineage analysis. genesis. 47(2). 107–114. 105 indexed citations
8.
Kanisicak, Onur, Julio J. Mendez, Shoko Yamamoto, Masakazu Yamamoto, & David J. Goldhamer. (2009). Progenitors of skeletal muscle satellite cells express the muscle determination gene, MyoD. Developmental Biology. 332(1). 131–141. 155 indexed citations
9.
Yamamoto, Masakazu, et al.. (2007). Cloning and characterization of a novel MyoD enhancer-binding factor. Mechanisms of Development. 124(9-10). 715–728. 10 indexed citations
10.
Chen, Jennifer C. J. & David J. Goldhamer. (2003). The core enhancer is essential for proper timing of MyoD activation in limb buds and branchial arches. Developmental Biology. 265(2). 502–512. 48 indexed citations
11.
Chen, Jennifer C. J., Rageshree Ramachandran, & David J. Goldhamer. (2002). Essential and Redundant Functions of the MyoD Distal Regulatory Region Revealed by Targeted Mutagenesis. Developmental Biology. 245(1). 213–223. 50 indexed citations
12.
Cox, David M., et al.. (2002). Composition and Function of AP-1 Transcription Complexes during Muscle Cell Differentiation. Journal of Biological Chemistry. 277(19). 16426–16432. 68 indexed citations
13.
Chen, Jennifer C. J., et al.. (2001). Two upstream enhancers collaborate to regulate the spatial patterning and timing of MyoD transcription during mouse development. Developmental Dynamics. 221(3). 274–288. 62 indexed citations
14.
15.
Kablar, Boris, Kirsten Krastel, Chuyan Ying, et al.. (1999). Myogenic Determination Occurs Independently in Somites and Limb Buds. Developmental Biology. 206(2). 219–231. 70 indexed citations
16.
Goldhamer, David J., et al.. (1997). Chapter 21 Nuclear DNA-Binding Proteins. Methods in cell biology. 52. 439–472. 2 indexed citations
17.
Brunk, Brian P., David J. Goldhamer, & Charles P. Emerson. (1996). Regulated Demethylation of themyoDDistal Enhancer during Skeletal Myogenesis. Developmental Biology. 177(2). 490–503. 84 indexed citations
18.
Faerman, Alexander, David J. Goldhamer, Raisa Puzis, Charles P. Emerson, & Moshe Shani. (1995). The Distal Human myoD Enhancer Sequences Direct Unique Muscle-Specific Patterns of lacZ Expression during Mouse Development. Developmental Biology. 171(1). 27–38. 43 indexed citations
19.
Goldhamer, David J.. (1988). Analysis of cell proliferation and the roles of nerves and wound epithelium during forelimb regeneration in the adult newt, Notophthalmus viridescens /. OhioLink ETD Center (Ohio Library and Information Network). 2 indexed citations
20.
Tassava, Roy A., David J. Goldhamer, & Beianka Tomlinson. (1987). Cell cycle controls and the role of nerves and the regenerate epithelium in urodele forelimb regeneration: possible modifications of basic concepts. Biochemistry and Cell Biology. 65(8). 739–749. 22 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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