Julie Teruya‐Feldstein
- Cancer Research top 0.1%
- Oncology top 0.1%
- Viral-associated cancers and disorders 46
- Cancer-related Molecular Pathways 11
- Pathology and Forensic Medicine top 0.1%
- Lymphoma Diagnosis and Treatment 84
- Genetics top 0.2%
- Chronic Lymphocytic Leukemia Research 32
- Hematology top 0.2%
- Acute Myeloid Leukemia Research 14
- Multiple Myeloma Research and Treatments 10
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- Immune Cell Function and Interaction 22
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- Ubiquitin and proteasome pathways 15
- Co-authors
- Li MaRobert A. WeinbergPier Paolo PandolfiCarlos Cordon‐CardoGiovanna TosatoElaine S. JaffeAinara EgiaArkaitz Carracedo
- Partner nations
- United StatesItalyJapan
In The Last Decade
Julie Teruya‐Feldstein
216 papers receiving 21.8k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Cancer Research 5.5k
- Oncology 7.6k
- Pathology and Forensic Medicine 4.2k
- Genetics 2.1k
- Hematology 2.1k
Countries citing papers authored by Julie Teruya‐Feldstein
This map shows the geographic impact of Julie Teruya‐Feldstein'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 Julie Teruya‐Feldstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julie Teruya‐Feldstein more than expected).
Fields of papers citing papers by Julie Teruya‐Feldstein
This network shows the impact of papers produced by Julie Teruya‐Feldstein. 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 Julie Teruya‐Feldstein. The network helps show where Julie Teruya‐Feldstein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Julie Teruya‐Feldstein, 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 | 2024 | 2 | |
| 2 | 2021 | 53 | |
| 3 | 2021 | 151 | |
| 4 | 2021 | 32 | |
| 5 | 2021 | 2 | |
| 6 | 2020 | 3 | |
| 7 | 2020 | 8 | |
| 8 | 2015 | 37 | |
| 9 | 2015 | 73 | |
| 10 | 2013 | 91 | |
| 11 | 2012 | 94 | |
| 12 | 2011 | 89 | |
| 13 | 2010 | 225 | |
| 14 | Therapeutic silencing of miR-10b inhibits metastasis in a mouse mammary tumor model | 2010 | 33 |
| 15 | miR-9, a MYC/MYCN-activated microRNA, regulates E-cadherin and cancer metastasis | 2010 | 1 |
| 16 | 2008 | 132 | |
| 17 | 2007 | 174 | |
| 18 | 2004 | 157 | |
| 19 | 2002 | 18 | |
| 20 | 2001 | 99 |
About Julie Teruya‐Feldstein
Julie Teruya‐Feldstein is a scholar working on Pathology and Forensic Medicine, Genetics and Oncology, having authored 216 papers that have together received 22.2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (84 papers), Viral-associated cancers and disorders (46 papers), Chronic Lymphocytic Leukemia Research (32 papers), Immune Cell Function and Interaction (22 papers), Ubiquitin and proteasome pathways (15 papers), Acute Myeloid Leukemia Research (14 papers), Cancer-related Molecular Pathways (11 papers) and Multiple Myeloma Research and Treatments (10 papers). The work is most often cited by research in Cancer Research (5.5k citations), Oncology (7.6k citations) and Pathology and Forensic Medicine (4.2k citations). Julie Teruya‐Feldstein has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Li Ma, Robert A. Weinberg, Pier Paolo Pandolfi, Carlos Cordon‐Cardo, Giovanna Tosato, Elaine S. Jaffe, Ainara Egia, Arkaitz Carracedo, Scott W. Lowe and Leonardo Salmena. Their work appears in journals such as Nature, Science and Cell.
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.