Lillian J. Eichner

2.5k total citations · 1 hit paper
18 papers, 1.9k citations indexed

About

Lillian J. Eichner is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Lillian J. Eichner has authored 18 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Physiology. Recurrent topics in Lillian J. Eichner's work include Metabolism, Diabetes, and Cancer (5 papers), Circadian rhythm and melatonin (3 papers) and Adipose Tissue and Metabolism (3 papers). Lillian J. Eichner is often cited by papers focused on Metabolism, Diabetes, and Cancer (5 papers), Circadian rhythm and melatonin (3 papers) and Adipose Tissue and Metabolism (3 papers). Lillian J. Eichner collaborates with scholars based in United States, Canada and Switzerland. Lillian J. Eichner's co-authors include Vincent Giguère, Reuben J. Shaw, Catherine R. Dufour, Robert Svensson, Sonja N. Brun, Jeanine L. Van Nostrand, Amanda Hutchins, Maxim N. Shokhirev, Julie St‐Pierre and Nicholas Bertos and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Genes & Development.

In The Last Decade

Lillian J. Eichner

17 papers receiving 1.9k citations

Hit Papers

Inhibition of acetyl-CoA carboxylase suppresses fatty aci... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lillian J. Eichner United States 15 1.4k 698 265 243 236 18 1.9k
Brooke M. Emerling United States 20 1.4k 1.1× 559 0.8× 332 1.3× 312 1.3× 248 1.1× 36 2.1k
Jing Zhao China 30 1.4k 1.0× 904 1.3× 285 1.1× 195 0.8× 195 0.8× 99 2.5k
Jessica J. Howell United States 12 1.5k 1.1× 486 0.7× 291 1.1× 276 1.1× 178 0.8× 14 2.1k
Qingyuan Ge United States 17 1.9k 1.4× 477 0.7× 294 1.1× 212 0.9× 360 1.5× 19 2.5k
Bokai Zhu United States 24 1.1k 0.8× 444 0.6× 527 2.0× 282 1.2× 141 0.6× 51 2.0k
Gina Lee United States 20 1.4k 1.0× 559 0.8× 416 1.6× 595 2.4× 180 0.8× 36 2.3k
Agnieszka Gizak Poland 25 1.4k 1.1× 484 0.7× 203 0.8× 105 0.4× 322 1.4× 65 2.1k
Jost Seibler Germany 21 1.9k 1.4× 628 0.9× 323 1.2× 196 0.8× 226 1.0× 24 2.6k
Man‐Wook Hur South Korea 26 1.4k 1.0× 292 0.4× 269 1.0× 131 0.5× 281 1.2× 77 2.0k
Zhuorui Xie United States 10 1.2k 0.9× 338 0.5× 187 0.7× 152 0.6× 231 1.0× 18 2.0k

Countries citing papers authored by Lillian J. Eichner

Since Specialization
Citations

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

Fields of papers citing papers by Lillian J. Eichner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lillian J. Eichner. 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 Lillian J. Eichner. The network helps show where Lillian J. Eichner may publish in the future.

Co-authorship network of co-authors of Lillian J. Eichner

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

All Works

18 of 18 papers shown
1.
Eichner, Lillian J., et al.. (2025). Targeting LKB1/STK11-mutant cancer: distinct metabolism, microenvironment, and therapeutic resistance. Trends in Pharmacological Sciences. 46(8). 722–737.
2.
Kaech, Susan M., et al.. (2024). Transcriptional repression by HDAC3 mediates T cell exclusion fromKrasmutant lung tumors. Proceedings of the National Academy of Sciences. 121(42). e2317694121–e2317694121. 9 indexed citations
3.
Eichner, Lillian J., Sonja N. Brun, Irena Gushterova, et al.. (2023). HDAC3 is critical in tumor development and therapeutic resistance in Kras -mutant non–small cell lung cancer. Science Advances. 9(11). eadd3243–eadd3243. 41 indexed citations
4.
Hollstein, Pablo E., Lillian J. Eichner, Sonja N. Brun, et al.. (2019). The AMPK-Related Kinases SIK1 and SIK3 Mediate Key Tumor-Suppressive Effects of LKB1 in NSCLC. Cancer Discovery. 9(11). 1606–1627. 90 indexed citations
5.
Rodón, Laura, Robert Svensson, Ezra Wiater, et al.. (2019). The CREB coactivator CRTC2 promotes oncogenesis in LKB1-mutant non–small cell lung cancer. Science Advances. 5(7). eaaw6455–eaaw6455. 33 indexed citations
6.
Eichner, Lillian J., Sonja N. Brun, Sébastien Herzig, et al.. (2018). Genetic Analysis Reveals AMPK Is Required to Support Tumor Growth in Murine Kras-Dependent Lung Cancer Models. Cell Metabolism. 29(2). 285–302.e7. 147 indexed citations
7.
Svensson, Robert, Seth J. Parker, Lillian J. Eichner, et al.. (2016). Inhibition of acetyl-CoA carboxylase suppresses fatty acid synthesis and tumor growth of non-small-cell lung cancer in preclinical models. Nature Medicine. 22(10). 1108–1119. 390 indexed citations breakdown →
8.
Young, Nathan P., Anwesh Kamireddy, Jeanine L. Van Nostrand, et al.. (2016). AMPK governs lineage specification through Tfeb-dependent regulation of lysosomes. Genes & Development. 30(5). 535–552. 141 indexed citations
9.
Mouchiroud, Laurent, Lillian J. Eichner, Reuben J. Shaw, & Johan Auwerx. (2014). Transcriptional Coregulators: Fine-Tuning Metabolism. Cell Metabolism. 20(1). 26–40. 92 indexed citations
10.
Dufour, Catherine R., et al.. (2014). ERBB2 Deficiency Alters an E2F-1-Dependent Adaptive Stress Response and Leads to Cardiac Dysfunction. Molecular and Cellular Biology. 34(23). 4232–4243. 12 indexed citations
11.
Chaveroux, Cédric, Lillian J. Eichner, Catherine R. Dufour, et al.. (2013). Molecular and Genetic Crosstalks between mTOR and ERRα Are Key Determinants of Rapamycin-Induced Nonalcoholic Fatty Liver. Cell Metabolism. 17(4). 586–598. 121 indexed citations
12.
Eichner, Lillian J. & Vincent Giguère. (2011). Estrogen related receptors (ERRs): A new dawn in transcriptional control of mitochondrial gene networks. Mitochondrion. 11(4). 544–552. 153 indexed citations
13.
Dufour, Catherine R., Lillian J. Eichner, Brian J. Wilson, et al.. (2011). Genomic Convergence among ERRα, PROX1, and BMAL1 in the Control of Metabolic Clock Outputs. PLoS Genetics. 7(6). e1002143–e1002143. 85 indexed citations
14.
Giguère, Vincent, Catherine R. Dufour, Lillian J. Eichner, Geneviève Deblois, & Nicolas Cermakian. (2011). Estrogen-Related Receptor  , the Molecular Clock, and Transcriptional Control of Metabolic Outputs. Cold Spring Harbor Symposia on Quantitative Biology. 76(0). 57–61. 15 indexed citations
15.
Eichner, Lillian J., Catherine R. Dufour, Nicholas Bertos, et al.. (2010). miR-378 ∗ Mediates Metabolic Shift in Breast Cancer Cells via the PGC-1β/ERRγ Transcriptional Pathway. Cell Metabolism. 12(4). 352–361. 233 indexed citations
16.
Dufour, Catherine R., Brian J. Wilson, Annie Tremblay, et al.. (2010). The homeobox protein Prox1 is a negative modulator of ERRα/PGC-1α bioenergetic functions. Genes & Development. 24(6). 537–542. 122 indexed citations
17.
Pascal, Laura E., Lawrence D. True, David Campbell, et al.. (2008). Correlation of mRNA and protein levels: Cell type-specific gene expression of cluster designation antigens in the prostate. BMC Genomics. 9(1). 246–246. 209 indexed citations
18.
Oudes, Asa, Jared C. Roach, Lillian J. Eichner, et al.. (2005). Application of affymetrix array and massively parallel signature sequencing for identification of genes involved in prostate cancer progression. BMC Cancer. 5(1). 86–86. 57 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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