Sharon Friedlander
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
- Cancer-related Molecular Pathways
Papers in
-
- Nuclear Structure and Function 19
- Ubiquitin and proteasome pathways 8
- Protein Degradation and Inhibitors 4
- Histone Deacetylase Inhibitors Research 4
- Oncology 9
- Cancer-related Molecular Pathways 4
- Peptidase Inhibition and Analysis 3
- Co-authors
- Denise Crowley (1 shared paper)Gerald C. Chu (1 shared paper)Eric L. Snyder (1 shared paper)Tyler Jacks (1 shared paper)Ronald A. DePinho (1 shared paper)Eliza Vasile (1 shared paper)Nomeda Girnius (1 shared paper)Sharon Shacham (20 shared papers)
- Journals
- Blood (8 papers)Cancer Research (8 papers)Journal of Clinical Oncology (4 papers)Blood Advances (2 papers)British Journal of Cancer (1 paper)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Sharon Friedlander
34 papers receiving 742 citations
Peers
Comparison fields: 5 of 65
- Hematology 146
- Oncology 333
- Cancer Research 116
- Genetics 76
- Molecular Biology 437
Countries citing papers authored by Sharon Friedlander
This map shows the geographic impact of Sharon Friedlander'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 Sharon Friedlander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sharon Friedlander more than expected).
Fields of papers citing papers by Sharon Friedlander
This network shows the impact of papers produced by Sharon Friedlander. 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 Sharon Friedlander. The network helps show where Sharon Friedlander may publish in the future.
Co-authors
The 25 scholars most cited alongside Sharon Friedlander, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 249 | |
| 2 | 2017 | 112 | |
| 3 | 2014 | 104 | |
| 4 | 2022 | 68 | |
| 5 | 2020 | 44 | |
| 6 | 2015 | 40 | |
| 7 | 2014 | 23 | |
| 8 | 2021 | 13 | |
| 9 | 2014 | 12 | |
| 10 | 2021 | 10 | |
| 11 | 2016 | 8 | |
| 12 | 2016 | 7 | |
| 13 | 2016 | 6 | |
| 14 | 2016 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2019 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2016 | 4 | |
| 19 | 2015 | 3 | |
| 20 | 2017 | 3 |
About Sharon Friedlander
Sharon Friedlander is a scholar working on Molecular Biology, Oncology, Hematology, Genetics and Immunology, having authored 35 papers that have together received 748 indexed citations. Recurring topics across this work include Nuclear Structure and Function (19 papers), Ubiquitin and proteasome pathways (8 papers), Acute Myeloid Leukemia Research (6 papers), Protein Degradation and Inhibitors (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Cancer-related Molecular Pathways (4 papers), Peptidase Inhibition and Analysis (3 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Hematology (146 citations), Oncology (333 citations), Cancer Research (116 citations), Genetics (76 citations) and Molecular Biology (437 citations). Sharon Friedlander has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Denise Crowley, Gerald C. Chu, Eric L. Snyder, Tyler Jacks, Ronald A. DePinho, Eliza Vasile, Nomeda Girnius, Sharon Shacham, Michael Kauffman and Yosef Landesman. Their work appears in journals such as Blood, Cancer Research, Journal of Clinical Oncology, Blood Advances and British Journal of Cancer.
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.