Dan Soppet

4.4k total citations · 1 hit paper
14 papers, 1.9k citations indexed

About

Dan Soppet is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Dan Soppet has authored 14 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Cell Biology. Recurrent topics in Dan Soppet's work include Nerve injury and regeneration (6 papers), Virus-based gene therapy research (2 papers) and Signaling Pathways in Disease (2 papers). Dan Soppet is often cited by papers focused on Nerve injury and regeneration (6 papers), Virus-based gene therapy research (2 papers) and Signaling Pathways in Disease (2 papers). Dan Soppet collaborates with scholars based in United States and Australia. Dan Soppet's co-authors include John R. Glenney, Enrique Escandón, Károly Nikolics, Luis F. Parada, David R. Kaplan, Tony Hunter, Louis E. Burton, David S. Middlemas, Brian R. Stanton and Lino Tessarollo and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Dan Soppet

14 papers receiving 1.9k citations

Hit Papers

align trajectories

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.

The neurotrophic factors brain-derived neurotrophic factor and neurotrophin-3 are ligands for the trkB tyrosine kinase receptor

1991 703 citations Dan Soppet, Enrique Escandón et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan Soppet United States	11	1.3k	965	624	407	196	14	1.9k
Gianfranco Gennarini Italy	25	982 0.8×	1.3k 1.4×	477 0.8×	608 1.5×	128 0.7×	52	2.2k
P. Liesi Finland	18	974 0.8×	727 0.8×	515 0.8×	292 0.7×	154 0.8×	27	1.8k
Rae Nishi United States	26	1.2k 0.9×	1.4k 1.4×	420 0.7×	205 0.5×	92 0.5×	53	2.2k
José Miguel Cosgaya Spain	18	1.1k 0.9×	758 0.8×	642 1.0×	141 0.3×	154 0.8×	30	1.8k
Frank S. Walsh United Kingdom	8	1.4k 1.1×	848 0.9×	774 1.2×	324 0.8×	66 0.3×	8	1.9k
Thomas Oertle Switzerland	17	1.5k 1.2×	776 0.8×	928 1.5×	426 1.0×	130 0.7×	18	2.2k
F.J. Roisen United States	16	627 0.5×	777 0.8×	826 1.3×	161 0.4×	103 0.5×	32	1.5k
Masashi Fujitani Japan	22	776 0.6×	931 1.0×	447 0.7×	158 0.4×	232 1.2×	43	1.9k
Stuart J. Rabin United States	19	831 0.7×	972 1.0×	320 0.5×	187 0.5×	165 0.8×	25	1.7k
Minerva Giménez y Ribotta France	19	777 0.6×	434 0.4×	422 0.7×	241 0.6×	124 0.6×	36	1.4k

Countries citing papers authored by Dan Soppet

Since Specialization

Citations

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

Fields of papers citing papers by Dan Soppet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Soppet

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

All Works

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14 of 14 papers shown

Bradburne, Christopher, Myung‐Chul Chung, Karen Schlauch, et al.. (2008). Transcriptional and apoptotic responses of THP-1 cells to challenge with toxigenic, and non-toxigenic Bacillus anthracis. BMC Immunology. 9(1). 67–67. 13 indexed citations

Chen, Bo, Ricardo Cibotti, Brian Naiman, et al.. (2008). Genomic-Based High Throughput Screening Identifies Small Molecules That Differentially Inhibit the Antiviral and Immunomodulatory Effects of IFN-α. Molecular Medicine. 14(7-8). 374–382. 3 indexed citations

Maier, Donna L., Shyamala Mani, Stacy L. Donovan, et al.. (1999). Disrupted cortical map and absence of cortical barrels in growth-associated protein (GAP)-43 knockout mice. Proceedings of the National Academy of Sciences. 96(16). 9397–9402. 125 indexed citations

Escandón, Enrique, Dan Soppet, Arnon Rosenthal, et al.. (1994). Regulation of neurotrophin receptor expression during embryonic and postnatal development. Journal of Neuroscience. 14(4). 2054–2068. 191 indexed citations

Urfer, Roman, Pantelis Tsoulfas, Dan Soppet, et al.. (1994). The binding epitopes of neurotrophin-3 to its receptors trkC and gp75 and the design of a multifunctional human neurotrophin.. The EMBO Journal. 13(24). 5896–5909. 95 indexed citations

Zhou, Xin‐Fu, Luis F. Parada, Dan Soppet, & Robert A. Rush. (1993). Distribution of trkB tyrosine kinase immunoreactivity in the rat central nervous system. Brain Research. 622(1-2). 63–70. 94 indexed citations

Tsoulfas, Pantelis, Dan Soppet, Enrique Escandón, et al.. (1993). The rat trkC locus encodes multiple neurogenic receptors that exhibit differential response to neurotrophin-3 in PC12 cells. Neuron. 10(5). 975–990. 261 indexed citations

Parada, Luis F., Pantelis Tsoulfas, Lino Tessarollo, et al.. (1992). The Trk Family of Tyrosine Kinases: Receptors for NGF-related Neurotrophins. Cold Spring Harbor Symposia on Quantitative Biology. 57(0). 43–51. 48 indexed citations

Glenney, John R. & Dan Soppet. (1992). Sequence and expression of caveolin, a protein component of caveolae plasma membrane domains phosphorylated on tyrosine in Rous sarcoma virus-transformed fibroblasts.. Proceedings of the National Academy of Sciences. 89(21). 10517–10521. 326 indexed citations

10.

Soppet, Dan, Lora Beasley, & Mark Willard. (1992). Evidence for unequal crossing over in the evolution of the neurofilament polypeptide H.. Journal of Biological Chemistry. 267(24). 17354–17361. 11 indexed citations

11.

Soppet, Dan, Lora Beasley, & Mark Willard. (1991). Sequence of the rabbit neurofilament protein L. Journal of Neuroscience Research. 30(1). 42–46. 4 indexed citations

12.

Soppet, Dan, Enrique Escandón, David S. Middlemas, et al.. (1991). The neurotrophic factors brain-derived neurotrophic factor and neurotrophin-3 are ligands for the trkB tyrosine kinase receptor. Cell. 65(5). 895–903. 703 indexed citations breakdown →

13.

Whikehart, David R. & Dan Soppet. (1981). Activities of transport enzymes located in the plasma membranes of corneal endothelial cells.. PubMed. 21(6). 819–25. 13 indexed citations

14.

Riley, M V, May C. Ng, E.M. Yates, Dan Soppet, & David R. Whikehart. (1980). Oxidized glutathione in the corneal endothelium. Experimental Eye Research. 30(5). 607–609. 10 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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