Sarah Traverse

1.5k total citations · 1 hit paper
8 papers, 1.4k citations indexed

About

Sarah Traverse is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Sarah Traverse has authored 8 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Cell Biology. Recurrent topics in Sarah Traverse's work include Protein Kinase Regulation and GTPase Signaling (4 papers), Melanoma and MAPK Pathways (3 papers) and Retinal Development and Disorders (1 paper). Sarah Traverse is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (4 papers), Melanoma and MAPK Pathways (3 papers) and Retinal Development and Disorders (1 paper). Sarah Traverse collaborates with scholars based in United Kingdom, United States and Germany. Sarah Traverse's co-authors include Philip Cohen, Hugh Paterson, C. J. Marshall, Néstor Gómez, Chris Marshall, Axel Ullrich, Klaus Seedorf, Ulf R. Rapp, Patricia T.W. Cohen and Roger J.A. Grand and has published in prestigious journals such as Current Biology, Biochemical Journal and FEBS Letters.

In The Last Decade

Sarah Traverse

8 papers receiving 1.4k citations

Hit Papers

Sustained activation of the mitogen-activated protein (MA... 1992 2026 2003 2014 1992 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah Traverse United Kingdom 7 1.1k 295 241 233 124 8 1.4k
Hartmut Halfter Germany 23 886 0.8× 255 0.9× 377 1.6× 101 0.4× 122 1.0× 36 1.7k
Stephen J. Neame United Kingdom 11 969 0.9× 261 0.9× 162 0.7× 306 1.3× 107 0.9× 17 1.3k
Monika Kortenjann Germany 9 869 0.8× 136 0.5× 192 0.8× 143 0.6× 170 1.4× 10 1.1k
T W Sturgill United States 8 1.4k 1.3× 132 0.4× 250 1.0× 341 1.5× 93 0.8× 9 1.7k
Yuji Chatani Japan 12 1.0k 0.9× 107 0.4× 346 1.4× 152 0.7× 206 1.7× 15 1.4k
Patrick E. Burnett United States 11 1.6k 1.4× 348 1.2× 189 0.8× 348 1.5× 94 0.8× 15 1.9k
Takaya Morooka Japan 6 857 0.8× 410 1.4× 273 1.1× 147 0.6× 123 1.0× 8 1.3k
Axel Ullrich Germany 4 960 0.9× 205 0.7× 305 1.3× 131 0.6× 90 0.7× 5 1.4k
Frédéric Mascarelli France 27 1.4k 1.3× 168 0.6× 203 0.8× 336 1.4× 136 1.1× 64 2.0k
F R McKenzie United Kingdom 17 1.5k 1.4× 380 1.3× 292 1.2× 206 0.9× 177 1.4× 25 1.9k

Countries citing papers authored by Sarah Traverse

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Traverse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Traverse

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

All Works

8 of 8 papers shown
1.
Herrera, Victoria L. M., Sarah Traverse, Lyle V. Lopez, & Nelson Ruiz‐Opazo. (2003). X-linked locus associated with hypertensive renal disease susceptibility in Dahl rats. Journal of Hypertension. 21(1). 67–71. 5 indexed citations
2.
Lopez, Lyle V., et al.. (2001). Hypertension Exacerbates Coronary Artery Disease in Transgenic Hyperlipidemic Dahl Salt-sensitive Hypertensive Rats. Molecular Medicine. 7(12). 831–844. 22 indexed citations
3.
Traverse, Sarah & Philip Cohen. (1994). Identification of a latent MAP kinase kinase kinase in PC12 cells as B‐raf. FEBS Letters. 350(1). 13–18. 34 indexed citations
4.
Traverse, Sarah, Klaus Seedorf, Hugh Paterson, et al.. (1994). EGF triggers neuronal differentiation of PC12 cells that overexpress the EGF receptor. Current Biology. 4(8). 694–701. 411 indexed citations
5.
Traverse, Sarah, Patricia T.W. Cohen, Hugh Paterson, et al.. (1993). Specific association of activated MAP kinase kinase kinase (Raf) with the plasma membranes of ras-transformed retinal cells.. PubMed. 8(11). 3175–81. 93 indexed citations
6.
Gómez, Néstor, Sarah Traverse, & Philip Cohen. (1992). Identification of a MAP kinase kinase kinase in phaeochromocytoma (PC12) cells. FEBS Letters. 314(3). 461–465. 19 indexed citations
7.
Cohen, Philip, David G. Campbell, Paul Dent, et al.. (1992). Dissection of the protein kinase cascades involved in insulin and nerve growth factor action. Biochemical Society Transactions. 20(3). 671–674. 12 indexed citations
8.
Traverse, Sarah, Néstor Gómez, Hugh Paterson, C. J. Marshall, & Philip Cohen. (1992). Sustained activation of the mitogen-activated protein (MAP) kinase cascade may be required for differentiation of PC12 cells. Comparison of the effects of nerve growth factor and epidermal growth factor. Biochemical Journal. 288(2). 351–355. 812 indexed citations breakdown →

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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