Lillian J. Eichner
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Metabolism, Diabetes, and Cancer
- RNA modifications and cancer
Papers in
-
- Metabolism, Diabetes, and Cancer 5
- RNA modifications and cancer 3
- Epigenetics and DNA Methylation 2
- Protein Degradation and Inhibitors 2
- Oncology 5
- Cancer-related Molecular Pathways 3
- Co-authors
- Vincent Giguère (7 shared papers)Reuben J. Shaw (8 shared papers)Catherine R. Dufour (6 shared papers)Sonja N. Brun (4 shared papers)Robert Svensson (4 shared papers)Jeanine L. Van Nostrand (2 shared papers)Maxim N. Shokhirev (3 shared papers)Amanda Hutchins (3 shared papers)
- Journals
- Cell Metabolism (4 papers)Genes & Development (2 papers)Science Advances (2 papers)Molecular and Cellular Biology (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Lillian J. Eichner
18 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 100
- Cancer Research 634
- Molecular Biology 1.2k
- Biochemistry 80
- Aging 19
- Physiology 251
Countries citing papers authored by Lillian J. Eichner
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
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-authors
The 25 scholars most cited alongside Lillian J. Eichner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 405 | |
| 2 | 2010 | 235 | |
| 3 | 2008 | 210 | |
| 4 | 2011 | 154 | |
| 5 | 2018 | 149 | |
| 6 | 2016 | 144 | |
| 7 | 2010 | 123 | |
| 8 | 2013 | 123 | |
| 9 | 2019 | 93 | |
| 10 | 2014 | 93 | |
| 11 | 2011 | 85 | |
| 12 | 2005 | 56 | |
| 13 | 2023 | 47 | |
| 14 | 2019 | 34 | |
| 15 | 2011 | 15 | |
| 16 | 2014 | 12 | |
| 17 | 2024 | 9 | |
| 18 | 2025 | 3 |
About Lillian J. Eichner
Lillian J. Eichner is a scholar working on Molecular Biology, Oncology, Physiology, Endocrine and Autonomic Systems and Genetics, having authored 18 papers that have together received 2.0k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (5 papers), Estrogen and related hormone effects (3 papers), Circadian rhythm and melatonin (3 papers), Cancer-related Molecular Pathways (3 papers), RNA modifications and cancer (3 papers), Adipose Tissue and Metabolism (3 papers), Epigenetics and DNA Methylation (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Cancer Research (634 citations), Molecular Biology (1.2k citations), Biochemistry (80 citations), Aging (19 citations) and Physiology (251 citations). Lillian J. Eichner has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Vincent Giguère, Reuben J. Shaw, Catherine R. Dufour, Sonja N. Brun, Robert Svensson, Jeanine L. Van Nostrand, Maxim N. Shokhirev, Amanda Hutchins, Morag Park and Julie St‐Pierre. Their work appears in journals such as Cell Metabolism, Genes & Development, Science Advances, Molecular and Cellular Biology and Nature Medicine.
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.