Natalia Lerner

917 total citations
9 papers, 782 citations indexed

About

Natalia Lerner is a scholar working on Molecular Biology, Oncology and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Natalia Lerner has authored 9 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Natalia Lerner's work include Photosynthetic Processes and Mechanisms (4 papers), Algal biology and biofuel production (3 papers) and NF-κB Signaling Pathways (3 papers). Natalia Lerner is often cited by papers focused on Photosynthetic Processes and Mechanisms (4 papers), Algal biology and biofuel production (3 papers) and NF-κB Signaling Pathways (3 papers). Natalia Lerner collaborates with scholars based in United States, Israel and Canada. Natalia Lerner's co-authors include Nywana Sizemore, George R. Stark, Hiroaki Sakurai, Noam Adir, Anju Agarwal, Kingshuk Das, Swati Sathe, Muzaffer Cicek, Graham Casey and Lora Jh Bean and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

Natalia Lerner

9 papers receiving 767 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalia Lerner United States 8 509 288 193 189 103 9 782
Christoph Wiesner Austria 17 284 0.6× 75 0.3× 115 0.6× 175 0.9× 44 0.4× 33 635
Bastian Dörsam Germany 11 412 0.8× 151 0.5× 76 0.4× 132 0.7× 22 0.2× 12 615
Steve Quirós Costa Rica 10 590 1.2× 164 0.6× 47 0.2× 208 1.1× 47 0.5× 20 907
Vivian Berlin United States 12 920 1.8× 44 0.2× 88 0.5× 153 0.8× 53 0.5× 16 1.2k
Natalia Novac Germany 11 535 1.1× 88 0.3× 149 0.8× 135 0.7× 35 0.3× 13 812
Y. Patskovsky United States 23 1.2k 2.3× 72 0.3× 94 0.5× 73 0.4× 26 0.3× 41 1.5k
Andrew M. Hau United States 14 296 0.6× 71 0.2× 67 0.3× 57 0.3× 40 0.4× 22 547
Elizabeth R. Smith United States 17 528 1.0× 62 0.2× 79 0.4× 150 0.8× 13 0.1× 27 819
René Rémy France 11 794 1.6× 50 0.2× 82 0.4× 46 0.2× 16 0.2× 17 973
Jianfu Zhou China 15 491 1.0× 103 0.4× 157 0.8× 161 0.9× 6 0.1× 29 794

Countries citing papers authored by Natalia Lerner

Since Specialization
Citations

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

Fields of papers citing papers by Natalia Lerner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Lerner

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

All Works

9 of 9 papers shown
1.
Ernest, Sheila, Haifeng Shao, Angela Hosack, et al.. (2006). Parallel changes in metabolite and expression profiles in crooked-tail mutant and folate-reduced wild-type mice. Human Molecular Genetics. 15(23). 3387–3393. 15 indexed citations
2.
Sizemore, Nywana, Anju Agarwal, Kingshuk Das, et al.. (2004). Inhibitor of κB kinase is required to activate a subset of interferon γ-stimulated genes. Proceedings of the National Academy of Sciences. 101(21). 7994–7998. 49 indexed citations
3.
Agarwal, Anju, Kingshuk Das, Natalia Lerner, et al.. (2004). The AKT/IκB kinase pathway promotes angiogenic/metastatic gene expression in colorectal cancer by activating nuclear factor-κB and β-catenin. Oncogene. 24(6). 1021–1031. 156 indexed citations
4.
Adir, Noam & Natalia Lerner. (2003). The Crystal Structure of a Novel Unmethylated Form of C-phycocyanin, a Possible Connector Between Cores and Rods in Phycobilisomes. Journal of Biological Chemistry. 278(28). 25926–25932. 48 indexed citations
5.
Adir, Noam, et al.. (2002). Refined structure of c-phycocyanin from the cyanobacterium Synechococcus vulcanus at 1.6 Å: insights into the role of solvent molecules in thermal stability and co-factor structure. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1556(2-3). 168–174. 48 indexed citations
6.
Sizemore, Nywana, et al.. (2002). Distinct Roles of the IκB Kinase α and β Subunits in Liberating Nuclear Factor κB (NF-κB) from IκB and in Phosphorylating the p65 Subunit of NF-κB. Journal of Biological Chemistry. 277(6). 3863–3869. 349 indexed citations
8.
Chernov, Mikhail V., Lora Jh Bean, Natalia Lerner, & George R. Stark. (2001). Regulation of Ubiquitination and Degradation of p53 in Unstressed Cells through C-terminal Phosphorylation. Journal of Biological Chemistry. 276(34). 31819–31824. 48 indexed citations
9.
Lerner, Natalia, et al.. (2000). Analysis of the role of detergent mixtures on the crystallization of the reaction center of Photosystem II. Photosynthesis Research. 65(3). 249–259. 4 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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