Emily E. Fink
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
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- RNA modifications and cancer
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- Protein Degradation and Inhibitors
- Biochemical and Molecular Research
Papers in
-
- Ubiquitin and proteasome pathways 3
- Single-cell and spatial transcriptomics 2
- Renal and related cancers 2
- Genomics and Chromatin Dynamics 2
- Melanoma and MAPK Pathways 2
- Epigenetics and DNA Methylation 2
- Surgery 4
- Tissue Engineering and Regenerative Medicine 3
- Co-authors
- Mikhail A. Nikiforov (11 shared papers)Brittany C. Lipchick (7 shared papers)Sudha Mannava (4 shared papers)Anna Bianchi (7 shared papers)Kalyana Moparthy (4 shared papers)Archis Bagati (6 shared papers)Joseph A. Wawrzyniak (5 shared papers)Sudha Moparthy (6 shared papers)
- Journals
- Cell Reports (2 papers)Oncogene (2 papers)Nature Methods (1 paper)iScience (1 paper)Leukemia (1 paper)
- Partner nations
- United StatesRussiaNetherlands
In The Last Decade
Emily E. Fink
17 papers receiving 547 citations
Peers
Comparison fields: 5 of 79
- Hematology 87
- Molecular Biology 438
- Cancer Research 64
- Cell Biology 67
- Physiology 15
Countries citing papers authored by Emily E. Fink
This map shows the geographic impact of Emily E. Fink'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 Emily E. Fink with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily E. Fink more than expected).
Fields of papers citing papers by Emily E. Fink
This network shows the impact of papers produced by Emily E. Fink. 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 Emily E. Fink. The network helps show where Emily E. Fink may publish in the future.
Co-authors
The 25 scholars most cited alongside Emily E. Fink, 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 | 72 | |
| 2 | 2020 | 69 | |
| 3 | 2012 | 67 | |
| 4 | 2011 | 55 | |
| 5 | 2017 | 49 | |
| 6 | 2015 | 44 | |
| 7 | 2018 | 41 | |
| 8 | 2015 | 35 | |
| 9 | 2011 | 34 | |
| 10 | 2016 | 27 | |
| 11 | 2021 | 18 | |
| 12 | 2017 | 17 | |
| 13 | 2022 | 13 | |
| 14 | 2022 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 0 |
About Emily E. Fink
Emily E. Fink is a scholar working on Molecular Biology, Surgery, Cell Biology, Hematology and Physiology, having authored 18 papers that have together received 549 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (3 papers), Ubiquitin and proteasome pathways (3 papers), Single-cell and spatial transcriptomics (2 papers), Renal and related cancers (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Genomics and Chromatin Dynamics (2 papers), Melanoma and MAPK Pathways (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Hematology (87 citations), Molecular Biology (438 citations), Cancer Research (64 citations), Cell Biology (67 citations) and Physiology (15 citations). Emily E. Fink has collaborated with scholars based in United States, Russia and Netherlands. Frequent co-authors include Mikhail A. Nikiforov, Brittany C. Lipchick, Sudha Mannava, Anna Bianchi, Kalyana Moparthy, Archis Bagati, Joseph A. Wawrzyniak, Sudha Moparthy, Shoshanna N. Zucker and Donna S. Shewach. Their work appears in journals such as Cell Reports, Oncogene, Nature Methods, iScience and Leukemia.
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.