Mitchell Goldfarb

17.5k total citations · 7 hit papers
98 papers, 13.9k citations indexed

About

Mitchell Goldfarb is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mitchell Goldfarb has authored 98 papers receiving a total of 13.9k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 21 papers in Genetics and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mitchell Goldfarb's work include Fibroblast Growth Factor Research (46 papers), Kruppel-like factors research (14 papers) and Epigenetics and DNA Methylation (13 papers). Mitchell Goldfarb is often cited by papers focused on Fibroblast Growth Factor Research (46 papers), Kruppel-like factors research (14 papers) and Epigenetics and DNA Methylation (13 papers). Mitchell Goldfarb collaborates with scholars based in United States, France and Italy. Mitchell Goldfarb's co-authors include Michael Wigler, Kenji Shimizu, Guangxia Gao, David M. Ornitz, Elizabeth J. Taparowsky, Ottavio Fasano, Manuel Perucho, François Coulier, George D. Yancopoulos and Jennifer S. Colvin and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Mitchell Goldfarb

98 papers receiving 13.1k citations

Hit Papers

Receptor Specificity of the Fibroblast Growth Factor Fa... 1979 2026 1994 2010 1996 1994 1995 1982 1999 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Receptor Specificity of the Fibroblast Growth Factor Family
    1996 1.6k citations David M. Ornitz, Jian Xu et al. Journal of Biological Chemistry profile →
  2. Ligands for EPH-Related Receptor Tyrosine Kinases that Require Membrane Attachment or Clustering for Activity
    1994 610 citations Mitchell Goldfarb et al. profile →
  3. Requirement of FGF-4 for Postimplantation Mouse Development
    1995 603 citations Mitchell Goldfarb et al. profile →
  4. Activation of the T24 bladder carcinoma transforming gene is linked to a single amino acid change
    1982 596 citations Mitchell Goldfarb et al. profile →
  5. Initiation of Mammalian Liver Development from Endoderm by Fibroblast Growth Factors
    1999 564 citations Mitchell Goldfarb et al. profile →
  6. Structure and activation of the human N-ras gene
    1983 460 citations Mitchell Goldfarb et al. profile →
  7. Passage of phenotypes of chemically transformed cells via transfection of DNA and chromatin.
    1979 371 citations Mitchell Goldfarb et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitchell Goldfarb United States 56 10.8k 2.5k 2.5k 2.1k 1.8k 98 13.9k
Marina Gertsenstein Canada 30 13.1k 1.2× 2.1k 0.8× 2.0k 0.8× 1.9k 0.9× 1.6k 0.9× 130 16.3k
Urban Deutsch Germany 50 10.1k 0.9× 1.3k 0.5× 1.7k 0.7× 1.5k 0.7× 1.9k 1.1× 103 14.0k
Stephen J. Tapscott United States 84 20.4k 1.9× 3.8k 1.5× 1.9k 0.8× 1.4k 0.7× 2.7k 1.6× 234 23.1k
Gerry Weinmaster United States 59 10.6k 1.0× 1.7k 0.7× 1.6k 0.6× 1.0k 0.5× 1.9k 1.1× 86 14.4k
Keith R. Johnson United States 56 9.3k 0.9× 1.3k 0.5× 2.8k 1.1× 2.1k 1.0× 888 0.5× 139 12.6k
Michael Jaye United States 53 8.7k 0.8× 1.6k 0.6× 2.6k 1.1× 1.5k 0.7× 713 0.4× 114 12.0k
Spyros Artavanis‐Tsakonas United States 70 18.1k 1.7× 2.5k 1.0× 3.2k 1.3× 2.1k 1.0× 3.2k 1.8× 121 22.4k
Larry Kedes United States 71 13.5k 1.2× 2.6k 1.0× 1.5k 0.6× 1.9k 0.9× 881 0.5× 174 18.1k
Stefan Schulte‐Merker Netherlands 59 9.3k 0.9× 1.7k 0.6× 4.7k 1.9× 2.5k 1.2× 1.0k 0.6× 141 13.3k
David Kimelman United States 65 13.2k 1.2× 2.1k 0.8× 3.1k 1.2× 988 0.5× 971 0.6× 142 14.9k

Countries citing papers authored by Mitchell Goldfarb

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell Goldfarb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitchell Goldfarb

This figure shows the co-authorship network connecting the top 25 collaborators of Mitchell Goldfarb. A scholar is included among the top collaborators of Mitchell Goldfarb 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 Mitchell Goldfarb. Mitchell Goldfarb 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.
Hartke, Timothy V., et al.. (2022). Enhanced sodium channel inactivation by temperature and FHF2 deficiency blocks heat nociception. Pain. 164(6). 1321–1331. 6 indexed citations
2.
3.
Soda, Teresa, Lisa Mapelli, Francesca Locatelli, et al.. (2019). Hyper-excitability and hyper-plasticity disrupt cerebellar signal transfer in the IB2 KO mouse model of autism. Journal of Neuroscience. 39(13). 1985–18. 25 indexed citations
4.
Nandi, Sayan, Kyung Lee, Gord Fishell, et al.. (2017). FGF-Dependent, Context-Driven Role for FRS Adapters in the Early Telencephalon. Journal of Neuroscience. 37(23). 5690–5698. 8 indexed citations
5.
Goldfarb, Mitchell. (2011). Voltage-gated sodium channel-associated proteins and alternative mechanisms of inactivation and block. Cellular and Molecular Life Sciences. 69(7). 1067–1076. 44 indexed citations
6.
Goetz, Regina, Fernanda Laezza, Nataly Shtraizent, et al.. (2009). Crystal Structure of a Fibroblast Growth Factor Homologous Factor (FHF) Defines a Conserved Surface on FHFs for Binding and Modulation of Voltage-gated Sodium Channels. Journal of Biological Chemistry. 284(26). 17883–17896. 111 indexed citations
7.
Rush, Anthony M., et al.. (2004). Fibroblast Growth Factor Homologous Factor 2B: Association with Na v 1.6 and Selective Colocalization at Nodes of Ranvier of Dorsal Root Axons. Journal of Neuroscience. 24(30). 6765–6775. 111 indexed citations
8.
Olsen, Shaun K., Niccolò Zampieri, Anna V. Eliseenkova, et al.. (2003). Fibroblast Growth Factor (FGF) Homologous Factors Share Structural but Not Functional Homology with FGFs. Journal of Biological Chemistry. 278(36). 34226–34236. 217 indexed citations
9.
Yan, Kelley S., S.X. Yan, Shiraz Mujtaba, et al.. (2002). FRS2 PTB Domain Conformation Regulates Interactions with Divergent Neurotrophic Receptors. Journal of Biological Chemistry. 277(19). 17088–17094. 26 indexed citations
10.
Schoorlemmer, Jon & Mitchell Goldfarb. (2001). Fibroblast growth factor homologous factors are intracellular signaling proteins. Current Biology. 11(10). 793–797. 109 indexed citations
11.
Xu, Hong, Kyung Lee, & Mitchell Goldfarb. (1998). Novel Recognition Motif on Fibroblast Growth Factor Receptor Mediates Direct Association and Activation of SNT Adapter Proteins. Journal of Biological Chemistry. 273(29). 17987–17990. 145 indexed citations
12.
Hartung, H.‐P., et al.. (1997). Assignment of <i>Fgf12</i> to mouse chromosome bands 16B1→B3 by in situ hybridization. Cytogenetic and Genome Research. 76(3-4). 185–186. 2 indexed citations
13.
Goldfarb, Mitchell, et al.. (1997). Amino acid residues which distinguish the mitogenic potentials of two FGF receptors. Oncogene. 14(15). 1767–1778. 27 indexed citations
14.
Mattéi, Marie‐Geneviève, H. Lovec, Helge Hartung, et al.. (1997). Chromosomal Mapping of Two Novel HumanFGFGenes,FGF11andFGF12. Genomics. 40(1). 151–154. 31 indexed citations
15.
Lovec, H., Helge Hartung, Marie‐Geneviève Mattéi, et al.. (1997). Assignment of FGF13 to human chromosome band Xq21 by in situ hybridization. Cytogenetic and Genome Research. 76(3-4). 183–184. 5 indexed citations
16.
Ornitz, David M., Jian Xu, Jennifer S. Colvin, et al.. (1996). Receptor Specificity of the Fibroblast Growth Factor Family. Journal of Biological Chemistry. 271(25). 15292–15297. 1592 indexed citations breakdown →
17.
Hughes, Richard A., Michael Sendtner, Mitchell Goldfarb, Dan Lindholm, & H. Thoenen. (1993). Evidence that fibroblast growth factor 5 is a major muscle-derived survival factor for cultured spinal motoneurons. Neuron. 10(3). 369–377. 116 indexed citations
18.
Hébert, Jean M., et al.. (1990). Isolation of cDNAs encoding four mouse FGF family members and characterization of their expression patterns during embryogenesis. Developmental Biology. 138(2). 454–463. 248 indexed citations
19.
Rees-Jones, R W, Mitchell Goldfarb, & Stephen P. Goff. (1989). Abelson Murine Leukemia Virus Induces Platelet-Derived Growth Factor-Independent Fibroblast Growth: Correlation with Kinase Activity and Dissociation from Full Morphologic Transformation. Molecular and Cellular Biology. 9(1). 278–287. 9 indexed citations
20.
Zhan, Xi, et al.. (1988). The Human FGF-5 Oncogene Encodes a Novel Protein Related to Fibroblast Growth Factors. Molecular and Cellular Biology. 8(8). 3487–3495. 98 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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