Shoshana Bar‐Nun

2.9k total citations
47 papers, 2.2k citations indexed

About

Shoshana Bar‐Nun is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Shoshana Bar‐Nun has authored 47 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 19 papers in Cell Biology and 9 papers in Epidemiology. Recurrent topics in Shoshana Bar‐Nun's work include Endoplasmic Reticulum Stress and Disease (17 papers), Autophagy in Disease and Therapy (9 papers) and Ubiquitin and proteasome pathways (7 papers). Shoshana Bar‐Nun is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (17 papers), Autophagy in Disease and Therapy (9 papers) and Ubiquitin and proteasome pathways (7 papers). Shoshana Bar‐Nun collaborates with scholars based in Israel, United States and Japan. Shoshana Bar‐Nun's co-authors include E Rabinovich, Kai‐Uwe Fröhlich, R D Simoni, Joseph Roitelman, Michael H. Glickman, Milton Adesnik, Itzhak Ohad, Yechiel Elkabetz, Satoshi Inoue and Kristin T. Chun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Shoshana Bar‐Nun

47 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shoshana Bar‐Nun Israel 23 1.4k 885 385 185 184 47 2.2k
Shoji Ohkuma Japan 26 1.2k 0.8× 289 0.3× 263 0.7× 147 0.8× 125 0.7× 72 2.1k
Patrice M. Connell United States 9 1.9k 1.4× 683 0.8× 258 0.7× 244 1.3× 400 2.2× 12 2.6k
Anthony D. Couvillon United States 17 1.5k 1.0× 1.1k 1.2× 505 1.3× 161 0.9× 262 1.4× 21 2.3k
Supriya Jayadev United States 19 1.6k 1.1× 291 0.3× 129 0.3× 175 0.9× 155 0.8× 26 2.2k
Maruf M. U. Ali United Kingdom 14 2.0k 1.4× 1.1k 1.2× 487 1.3× 61 0.3× 155 0.8× 17 2.7k
Yoshihiro Morishima United States 27 1.8k 1.2× 351 0.4× 103 0.3× 258 1.4× 61 0.3× 47 2.3k
Wolfgang Oppliger Switzerland 22 3.7k 2.6× 548 0.6× 367 1.0× 232 1.3× 153 0.8× 22 4.4k
Sohail Malik United States 39 3.9k 2.7× 190 0.2× 185 0.5× 504 2.7× 217 1.2× 84 5.1k
Nobuo Suzuki Japan 22 1.2k 0.8× 433 0.5× 712 1.8× 158 0.9× 74 0.4× 68 2.1k
Ricardo M. Biondi Germany 31 3.4k 2.3× 554 0.6× 179 0.5× 329 1.8× 137 0.7× 79 4.1k

Countries citing papers authored by Shoshana Bar‐Nun

Since Specialization
Citations

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

Fields of papers citing papers by Shoshana Bar‐Nun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shoshana Bar‐Nun. 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 Shoshana Bar‐Nun. The network helps show where Shoshana Bar‐Nun may publish in the future.

Co-authorship network of co-authors of Shoshana Bar‐Nun

This figure shows the co-authorship network connecting the top 25 collaborators of Shoshana Bar‐Nun. A scholar is included among the top collaborators of Shoshana Bar‐Nun 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 Shoshana Bar‐Nun. Shoshana Bar‐Nun 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.
Omori, Hiroko, Maho Hamasaki, Tomohisa Hatta, et al.. (2020). ERdj8 governs the size of autophagosomes during the formation process. The Journal of Cell Biology. 219(8). 21 indexed citations
2.
Ezcurra, Marina, Alexandre Benedetto, Ann F. Gilliat, et al.. (2018). C. elegans Eats Its Own Intestine to Make Yolk Leading to Multiple Senescent Pathologies. Current Biology. 28(16). 2544–2556.e5. 123 indexed citations
3.
Cohen, Aviv, E Rabinovich, Iftach Nachman, et al.. (2016). Water-Transfer Slows Aging in Saccharomyces cerevisiae. PLoS ONE. 11(2). e0148650–e0148650. 10 indexed citations
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Elkabetz, Yechiel, et al.. (2008). Alternative pathways of disulfide bond formation yield secretion-competent, stable and functional immunoglobulins. Molecular Immunology. 46(1). 97–105. 7 indexed citations
8.
Bajorek, Monika, et al.. (2008). A Proteasomal ATPase Contributes to Dislocation of Endoplasmic Reticulum-associated Degradation (ERAD) Substrates. Journal of Biological Chemistry. 283(11). 7166–7175. 54 indexed citations
9.
Bar‐Nun, Shoshana. (2006). The Role of p97/Cdc48p in Endoplasmic Reticulum-Associated Degradation: From the Immune System to Yeast. Current topics in microbiology and immunology. 300. 95–125. 61 indexed citations
10.
Elkabetz, Yechiel, Ilana Shapira, E Rabinovich, & Shoshana Bar‐Nun. (2004). Distinct Steps in Dislocation of Luminal Endoplasmic Reticulum-associated Degradation Substrates. Journal of Biological Chemistry. 279(6). 3980–3989. 79 indexed citations
11.
Elkabetz, Yechiel, et al.. (2003). Immunoglobulin Light Chains Dictate Vesicular Transport-dependent and -independent Routes for IgM Degradation by the Ubiquitin-Proteasome Pathway. Journal of Biological Chemistry. 278(21). 18922–18929. 22 indexed citations
12.
Shachar, Idit, et al.. (1996). Degradation of Distinct Assembly Forms of Immunoglobulin M Occurs in Multiple Sites in Permeabilized B Cells. Journal of Biological Chemistry. 271(44). 27645–27651. 17 indexed citations
13.
Shachar, Idit, et al.. (1992). Degradation of secretory immunoglobulin M in B lymphocytes occurs in a postendoplasmic reticulum compartment and is mediated by a cysteine protease.. Journal of Biological Chemistry. 267(29). 20694–20700. 34 indexed citations
14.
Shachar, Idit, et al.. (1992). Polymerization of secretory IgM in B lymphocytes is prevented by a prior targeting to a degradation pathway.. Journal of Biological Chemistry. 267(34). 24241–24247. 24 indexed citations
15.
Ronen, D, Levana Sherman, Shoshana Bar‐Nun, & Yael Teitz. (1987). N-methylisatin-beta-4',4'-diethylthiosemicarbazone, an inhibitor of Moloney leukemia virus protein production: characterization and in vitro translation of viral mRNA. Antimicrobial Agents and Chemotherapy. 31(11). 1798–1802. 19 indexed citations
16.
Bar‐Nun, Shoshana, et al.. (1984). Immunological evidence for phenobarbital-stimulated synthesis of cytochrome P-450 in primary cultures of chick embryo hepatocytes. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 805(3). 291–299. 7 indexed citations
17.
Adesnik, Milton, et al.. (1981). Mechanism of induction of cytochrome P-450 by phenobarbital.. Journal of Biological Chemistry. 256(20). 10340–10345. 136 indexed citations
18.
Schantz, Rodolphe, Shoshana Bar‐Nun, & Itzhak Ohad. (1977). Preparation of Antibodies against Specific Chloroplast Membrane Polypeptides Associated with the Formation of Photosystems I and II in Chlamydomonas reinhardi y-1. PLANT PHYSIOLOGY. 59(2). 167–172. 11 indexed citations
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Wallach, Donald F. H., Shoshana Bar‐Nun, & Itzhak Ohad. (1972). Biogenesis of chloroplast membranes IX. Development of photophosphorylation and proton pump activities in greening Chlamydomonas reinhardi y-1 as measured with an open-cell preparation. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 267(1). 125–137. 15 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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