Shannon Elf
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Epigenetics and DNA Methylation 6
- ATP Synthase and ATPases Research 3
- Ubiquitin and proteasome pathways 2
- Hematology 14
- Acute Myeloid Leukemia Research 10
- Chronic Myeloid Leukemia Treatments 4
- Co-authors
- Jing Chen (3 shared papers)Stephen D. Nimer (7 shared papers)Fadlo R. Khuri (6 shared papers)Sumin Kang (7 shared papers)Gang Huang (4 shared papers)Titus J. Boggon (7 shared papers)Taro Hitosugi (5 shared papers)Goro Sashida (6 shared papers)
- Journals
- Blood (15 papers)Molecular and Cellular Biology (4 papers)Journal of Biological Chemistry (2 papers)Science Signaling (1 paper)Cancer Discovery (1 paper)
- Partner nations
- United StatesSpainItaly
In The Last Decade
Shannon Elf
33 papers receiving 2.6k citations
Shannon Elf's Hit Papers
Peers
Comparison fields: 5 of 93
- Hematology 695
- Cancer Research 709
- Genetics 434
- Molecular Biology 1.7k
- Immunology 403
Countries citing papers authored by Shannon Elf
This map shows the geographic impact of Shannon Elf'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 Shannon Elf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shannon Elf more than expected).
Fields of papers citing papers by Shannon Elf
This network shows the impact of papers produced by Shannon Elf. 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 Shannon Elf. The network helps show where Shannon Elf may publish in the future.
Co-authors
The 25 scholars most cited alongside Shannon Elf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Tyrosine Phosphorylation Inhibits PKM2 to Promote the Warburg Effect and Tumor Growth Hit paper breakdown → | 2009 | 624 |
| 2 | 2009 | 427 | |
| 3 | 2005 | 307 | |
| 4 | 2016 | 196 | |
| 5 | 2007 | 191 | |
| 6 | 2010 | 131 | |
| 7 | 2013 | 96 | |
| 8 | 2014 | 74 | |
| 9 | 2017 | 66 | |
| 10 | 2014 | 63 | |
| 11 | 2011 | 57 | |
| 12 | 2006 | 52 | |
| 13 | 2014 | 51 | |
| 14 | 2016 | 50 | |
| 15 | 2009 | 50 | |
| 16 | 2009 | 46 | |
| 17 | 2009 | 34 | |
| 18 | 2007 | 30 | |
| 19 | 2011 | 28 | |
| 20 | 2013 | 24 |
About Shannon Elf
Shannon Elf is a scholar working on Molecular Biology, Hematology, Genetics, Cancer Research and Oncology, having authored 33 papers that have together received 2.6k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers), Acute Myeloid Leukemia Research (10 papers), Epigenetics and DNA Methylation (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Chronic Myeloid Leukemia Treatments (4 papers), ATP Synthase and ATPases Research (3 papers), Eosinophilic Disorders and Syndromes (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Hematology (695 citations), Cancer Research (709 citations), Genetics (434 citations), Molecular Biology (1.7k citations) and Immunology (403 citations). Shannon Elf has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Jing Chen, Stephen D. Nimer, Fadlo R. Khuri, Sumin Kang, Gang Huang, Titus J. Boggon, Taro Hitosugi, Goro Sashida, Tae‐Wook Chung and Yasuhiko Miyata. Their work appears in journals such as Blood, Molecular and Cellular Biology, Journal of Biological Chemistry, Science Signaling and Cancer Discovery.
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.