Neta Dean

3.2k total citations
41 papers, 2.7k citations indexed

About

Neta Dean is a scholar working on Molecular Biology, Cell Biology and Organic Chemistry. According to data from OpenAlex, Neta Dean has authored 41 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 15 papers in Cell Biology and 12 papers in Organic Chemistry. Recurrent topics in Neta Dean's work include Fungal and yeast genetics research (19 papers), Glycosylation and Glycoproteins Research (16 papers) and Cellular transport and secretion (13 papers). Neta Dean is often cited by papers focused on Fungal and yeast genetics research (19 papers), Glycosylation and Glycoproteins Research (16 papers) and Cellular transport and secretion (13 papers). Neta Dean collaborates with scholars based in United States, China and Japan. Neta Dean's co-authors include Hugh R.B. Pelham, Jan C. Semenza, Kevin Hardwick, Arnold Berk, Xiao‐Dong Gao, Sabine Keppler‐Ross, Steven K. Yoshinaga, Yoshifumi Jigami, Mei Han and Lois M. Douglas and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Neta Dean

41 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neta Dean United States 28 2.1k 915 376 338 308 41 2.7k
Claudia Abeijón United States 27 1.6k 0.8× 630 0.7× 373 1.0× 379 1.1× 329 1.1× 49 2.5k
Carlos B. Hirschberg United States 34 2.5k 1.2× 929 1.0× 357 0.9× 169 0.5× 517 1.7× 64 3.5k
Sabine Strahl Germany 25 1.9k 0.9× 531 0.6× 386 1.0× 140 0.4× 338 1.1× 50 2.2k
Christine Bulawa United States 25 2.5k 1.2× 468 0.5× 753 2.0× 453 1.3× 211 0.7× 35 3.2k
Constantin E. Vorgias Germany 22 1.8k 0.9× 475 0.5× 567 1.5× 154 0.5× 301 1.0× 39 2.4k
Sabine Strahl‐Bolsinger Germany 14 2.4k 1.1× 267 0.3× 582 1.5× 224 0.7× 165 0.5× 16 2.7k
Daniel J. Kelleher United States 18 1.8k 0.8× 504 0.6× 221 0.6× 87 0.3× 518 1.7× 19 2.2k
Janet Kurjan United States 30 3.1k 1.5× 798 0.9× 623 1.7× 260 0.8× 66 0.2× 45 3.6k
Hélio K. Takahashi Brazil 29 1.0k 0.5× 343 0.4× 471 1.3× 322 1.0× 413 1.3× 68 2.0k
Ken-ichi Nakayama Japan 22 1.2k 0.6× 336 0.4× 233 0.6× 102 0.3× 205 0.7× 40 1.5k

Countries citing papers authored by Neta Dean

Since Specialization
Citations

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

Fields of papers citing papers by Neta Dean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neta Dean

This figure shows the co-authorship network connecting the top 25 collaborators of Neta Dean. A scholar is included among the top collaborators of Neta Dean 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 Neta Dean. Neta Dean 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.
2.
Chen, Zhenghui, et al.. (2022). An in vitro assay for enzymatic studies on human ALG13/14 heterodimeric UDP-N-acetylglucosamine transferase. Frontiers in Cell and Developmental Biology. 10. 1008078–1008078. 6 indexed citations
3.
4.
Li, Shengtao, Tiantian Lu, Xinxin Xu, et al.. (2019). Reconstitution of the lipid-linked oligosaccharide pathway for assembly of high-mannose N-glycans. Nature Communications. 10(1). 1813–1813. 39 indexed citations
5.
Li, Shengtao, Ning Wang, Sha Xu, et al.. (2016). Quantitative study of yeast Alg1 beta-1, 4 mannosyltransferase activity, a key enzyme involved in protein N-glycosylation. Biochimica et Biophysica Acta (BBA) - General Subjects. 1861(1). 2934–2941. 19 indexed citations
6.
Douglas, Lois M., Hong X. Wang, Sabine Keppler‐Ross, Neta Dean, & James B. Konopka. (2011). Sur7 Promotes Plasma Membrane Organization and Is Needed for Resistance to Stressful Conditions and to the Invasive Growth and Virulence of Candida albicans. mBio. 3(1). 70 indexed citations
7.
Keppler‐Ross, Sabine, Lois M. Douglas, James B. Konopka, & Neta Dean. (2010). Recognition of Yeast by Murine Macrophages Requires Mannan but Not Glucan. Eukaryotic Cell. 9(11). 1776–1787. 68 indexed citations
8.
Averbeck, Nicole, Xiao‐Dong Gao, Shin‐Ichiro Nishimura, & Neta Dean. (2008). Alg13p, the Catalytic Subunit of the Endoplasmic Reticulum UDP-GlcNAc Glycosyltransferase, Is a Target for Proteasomal Degradation. Molecular Biology of the Cell. 19(5). 2169–2178. 15 indexed citations
9.
Rida, Padmashree C.G., et al.. (2006). Yeast-to-Hyphal Transition Triggers Formin-dependent Golgi Localization to the Growing Tip inCandida albicans. Molecular Biology of the Cell. 17(10). 4364–4378. 44 indexed citations
10.
Gao, Xiao‐Dong, Ji Wang, Sabine Keppler‐Ross, & Neta Dean. (2005). ERS1 encodes a functional homologue of the human lysosomal cystine transporter. FEBS Journal. 272(10). 2497–2511. 43 indexed citations
11.
Gao, Xiao‐Dong, et al.. (2001). Identification of a Conserved Motif in the Yeast Golgi GDP-mannose Transporter Required for Binding to Nucleotide Sugar. Journal of Biological Chemistry. 276(6). 4424–4432. 41 indexed citations
12.
Dean, Neta. (1999). Asparagine-linked glycosylation in the yeast Golgi. Biochimica et Biophysica Acta (BBA) - General Subjects. 1426(2). 309–322. 152 indexed citations
13.
Dean, Neta, et al.. (1997). The VRG4 Gene Is Required for GDP-mannose Transport into the Lumen of the Golgi in the Yeast, Saccharomyces cerevisiae. Journal of Biological Chemistry. 272(50). 31908–31914. 115 indexed citations
14.
Roos, Jack, et al.. (1996). The OST4 Gene of Saccharomyces cerevisiae Encodes an Unusually Small Protein Required for Normal Levels of Oligosaccharyltransferase Activity. Journal of Biological Chemistry. 271(6). 3132–3140. 53 indexed citations
15.
Dean, Neta, et al.. (1996). Molecular and phenotypic analysis of the S. cerevisiae MNN10 gene identifies a family of related glycosyltransferases. Glycobiology. 6(1). 73–81. 36 indexed citations
16.
Dean, Neta. (1994). Yeast sequencing reports. Cloning and DNA sequence of a Kluyveromyces lactis ERD1 homologue. Yeast. 10(8). 1117–1124. 4 indexed citations
17.
Semenza, Jan C., Kevin Hardwick, Neta Dean, & Hugh R.B. Pelham. (1990). ERD2, a yeast gene required for the receptor-mediated retrieval of luminal ER proteins from the secretory pathway. Cell. 61(7). 1349–1357. 450 indexed citations
18.
Semenza, Jan C., et al.. (1990). ERD2, a Yeast Gene Required for the Receptor-Mediated Retrieval Proteins from the Secretory Pathway of Luminal ER. 3 indexed citations
19.
Dean, Neta & Arnold Berk. (1987). Separation of TFIIIC into two functional components by sequence specific DNA affinity chromatography. Nucleic Acids Research. 15(23). 9895–9907. 62 indexed citations
20.
Yoshinaga, Steven K., Neta Dean, Mei Han, & Arnold Berk. (1986). Adenovirus stimulation of transcription by RNA polymerase III: evidence for an E1A-dependent increase in transcription factor IIIC concentration.. The EMBO Journal. 5(2). 343–354. 148 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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