Curt J. Essenburg
Impact in
- Hepatology top 5%
- Liver physiology and pathology
-
- Cancer Cells and Metastasis
Papers in
-
- Lung Cancer Treatments and Mutations 3
- Sarcoma Diagnosis and Treatment 3
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- PI3K/AKT/mTOR signaling in cancer 3
- Co-authors
- George F. Vande Woude (4 shared papers)Dafna Kaufman (3 shared papers)Elizabeth A. Tovar (9 shared papers)Liang Kang (3 shared papers)Carrie R. Graveel (11 shared papers)Yanli Su (2 shared papers)Matthew R. Steensma (9 shared papers)Mary E. Winn (4 shared papers)
- Journals
- Cancer Research (2 papers)Molecular Cancer Therapeutics (1 paper)Clinical Cancer Research (1 paper)Genes & Cancer (1 paper)Stem Cell Research (1 paper)
- Partner nations
- United StatesQatarItaly
In The Last Decade
Curt J. Essenburg
16 papers receiving 407 citations
Peers
Comparison fields: 5 of 45
- Hepatology 124
- Oncology 149
- Cancer Research 76
- Neurology 61
- Genetics 40
Countries citing papers authored by Curt J. Essenburg
This map shows the geographic impact of Curt J. Essenburg'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 Curt J. Essenburg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Curt J. Essenburg more than expected).
Fields of papers citing papers by Curt J. Essenburg
This network shows the impact of papers produced by Curt J. Essenburg. 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 Curt J. Essenburg. The network helps show where Curt J. Essenburg may publish in the future.
Co-authors
The 25 scholars most cited alongside Curt J. Essenburg, 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 | 2011 | 99 | |
| 2 | 2010 | 61 | |
| 3 | 2016 | 55 | |
| 4 | 2015 | 45 | |
| 5 | 2018 | 43 | |
| 6 | 2018 | 30 | |
| 7 | 2013 | 30 | |
| 8 | 2013 | 19 | |
| 9 | 2021 | 10 | |
| 10 | 2024 | 7 | |
| 11 | 2020 | 6 | |
| 12 | 2024 | 3 | |
| 13 | 2020 | 2 | |
| 14 | 2020 | 1 | |
| 15 | 2017 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2024 | 0 |
About Curt J. Essenburg
Curt J. Essenburg is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Neurology, Hepatology and Oncology, having authored 17 papers that have together received 413 indexed citations. Recurring topics across this work include Neurofibromatosis and Schwannoma Cases (7 papers), Liver physiology and pathology (5 papers), Neuroblastoma Research and Treatments (4 papers), Lung Cancer Treatments and Mutations (3 papers), Cancer Cells and Metastasis (3 papers), Cancer Mechanisms and Therapy (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Sarcoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Hepatology (124 citations), Oncology (149 citations), Cancer Research (76 citations), Neurology (61 citations) and Genetics (40 citations). Curt J. Essenburg has collaborated with scholars based in United States, Qatar and Italy. Frequent co-authors include George F. Vande Woude, Dafna Kaufman, Elizabeth A. Tovar, Liang Kang, Carrie R. Graveel, Yanli Su, Matthew R. Steensma, Mary E. Winn, Ben Staal and Julie Koeman. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Clinical Cancer Research, Genes & Cancer and Stem Cell Research.
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.