David Raden

2.7k total citations · 1 hit paper
21 papers, 2.3k citations indexed

About

David Raden is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, David Raden has authored 21 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Cell Biology and 4 papers in Genetics. Recurrent topics in David Raden's work include Endoplasmic Reticulum Stress and Disease (5 papers), Melanoma and MAPK Pathways (5 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). David Raden is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (5 papers), Melanoma and MAPK Pathways (5 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). David Raden collaborates with scholars based in United States, Israel and Argentina. David Raden's co-authors include Roger J. Davis, Fernando A. González, Reid Gilmore, Randal J. Kaufman, D. Thomas Rutkowski, Corey N. Miller, Amir A. Sadighi Akha, Stacey Arnold, Kazutoshi Mori and Jun Wu 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

David Raden

20 papers receiving 2.2k citations

Hit Papers

Adaptation to ER Stress I... 2006 2026 2012 2019 2006 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Raden 1.7k 849 316 277 210 21 2.3k
Tommer Ravid 2.1k 1.3× 910 1.1× 461 1.5× 388 1.4× 144 0.7× 49 2.7k
Patrice M. Connell 1.9k 1.2× 683 0.8× 258 0.8× 244 0.9× 147 0.7× 12 2.6k
Roymarie Ballester 2.1k 1.3× 706 0.8× 217 0.7× 235 0.8× 167 0.8× 25 2.9k
Tania Maffucci 1.8k 1.1× 723 0.9× 189 0.6× 321 1.2× 158 0.8× 52 2.6k
Eric D. Werner 1.5k 0.9× 629 0.7× 480 1.5× 211 0.8× 135 0.6× 15 2.3k
Changhui Mao 1.1k 0.7× 1.2k 1.4× 557 1.8× 142 0.5× 143 0.7× 12 1.9k
Anthony D. Couvillon 1.5k 0.9× 1.1k 1.2× 505 1.6× 161 0.6× 89 0.4× 21 2.3k
Eileen L. Whiteman 1.1k 0.7× 443 0.5× 261 0.8× 177 0.6× 151 0.7× 17 1.8k
Izabela Sumara 2.6k 1.6× 1.4k 1.6× 327 1.0× 520 1.9× 215 1.0× 40 3.2k
Christopher Belham 2.3k 1.4× 629 0.7× 163 0.5× 287 1.0× 164 0.8× 16 3.0k

Countries citing papers authored by David Raden

Since Specialization
Citations

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

Fields of papers citing papers by David Raden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Raden

This figure shows the co-authorship network connecting the top 25 collaborators of David Raden. A scholar is included among the top collaborators of David Raden 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 Raden. David Raden 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.
Young, Carissa L., David Raden, & Anne S. Robinson. (2013). Analysis of ER Resident Proteins in Saccharomyces cerevisiae: Implementation of H/KDEL Retrieval Sequences. Traffic. 14(4). 365–381. 15 indexed citations
2.
Raden, David, et al.. (2012). The role of atg18 in signal transduction pathways during Drosophila development. The FASEB Journal. 26(S1).
4.
Raden, David, et al.. (2008). A Top-Down Approach to Mechanistic Biological Modeling: Application to the Single-Chain Antibody Folding Pathway. Biophysical Journal. 95(8). 3535–3558. 8 indexed citations
5.
Raden, David, et al.. (2006). The Saccharomyces cerevisiae YFR041C/ERJ5 gene encoding a type I membrane protein with a J domain is required to preserve the folding capacity of the endoplasmic reticulum. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1773(2). 232–242. 27 indexed citations
6.
Rutkowski, D. Thomas, Stacey Arnold, Corey N. Miller, et al.. (2006). Adaptation to ER Stress Is Mediated by Differential Stabilities of Pro-Survival and Pro-Apoptotic mRNAs and Proteins. PLoS Biology. 4(11). e374–e374. 672 indexed citations breakdown →
7.
Raden, David, et al.. (2005). Analysis of cellular response to protein overexpression. PubMed. 152(4). 285–285. 12 indexed citations
8.
Xu, Ping, David Raden, Francis J. Doyle, & Anne S. Robinson. (2005). Analysis of unfolded protein response during single-chain antibody expression in Saccaromyces cerevisiae reveals different roles for BiP and PDI in folding. Metabolic Engineering. 7(4). 269–279. 61 indexed citations
10.
Raden, David, et al.. (2000). Role of the Cytoplasmic Segments of Sec61α in the Ribosome-Binding and Translocation-Promoting Activities of the Sec61 Complex. The Journal of Cell Biology. 150(1). 53–64. 60 indexed citations
12.
Selva, Erica M., David Raden, & Roger J. Davis. (1993). Mitogen-activated protein kinase stimulation by a tyrosine kinase-negative epidermal growth factor receptor.. Journal of Biological Chemistry. 268(3). 2250–2254. 65 indexed citations
13.
González, Fernando A., David Raden, Mark Rigby, & Roger J. Davis. (1992). Heterogeneous expression of four MAP kinase isoforms in human tissues. FEBS Letters. 304(2-3). 170–178. 116 indexed citations
14.
Seth, A, Fernando A. González, Shashi Kumar Gupta, David Raden, & Roger J. Davis. (1992). Signal transduction within the nucleus by mitogen-activated protein kinase.. Journal of Biological Chemistry. 267(34). 24796–24804. 291 indexed citations
15.
Theroux, Steven J., et al.. (1992). Signal transduction by the epidermal growth factor receptor is attenuated by a COOH-terminal domain serine phosphorylation site.. Journal of Biological Chemistry. 267(23). 16620–16626. 38 indexed citations
16.
Northwood, I C, Fernando A. González, Markus Wartmann, David Raden, & Roger J. Davis. (1991). Isolation and characterization of two growth factor-stimulated protein kinases that phosphorylate the epidermal growth factor receptor at threonine 669. Journal of Biological Chemistry. 266(23). 15266–15276. 191 indexed citations
17.
González, Fernando A., David Raden, & Roger J. Davis. (1991). Identification of substrate recognition determinants for human ERK1 and ERK2 protein kinases.. Journal of Biological Chemistry. 266(33). 22159–22163. 403 indexed citations
18.
Abdel-Ghany, M, et al.. (1989). Brain protein kinase C phosphorylating poly(arginine,serine) or lamin B is stimulated by anions and by an activator purified from bovine serum albumin preparations.. Proceedings of the National Academy of Sciences. 86(6). 1761–1765. 15 indexed citations
19.
Abdel-Ghany, M, David Raden, E. Racker, & Ephraim Katchalski‐Katzir. (1988). Phosphorylation of synthetic random polypeptides by protein kinase P and other protein-serine (threonine) kinases and stimulation or inhibition of kinase activities by microbial toxins.. Proceedings of the National Academy of Sciences. 85(5). 1408–1411. 14 indexed citations
20.
Abdel-Ghany, M, et al.. (1987). Polypeptide-dependent protein kinase from bakers' yeast.. Proceedings of the National Academy of Sciences. 84(4). 925–929. 36 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026