Lenny Dang
Impact in
- Cancer Research top 0.2%
- Cancer, Hypoxia, and Metabolism
- NF-κB Signaling Pathways
- Genetics top 0.2%
- Glioma Diagnosis and Treatment
Papers in
- Genetics 24
- Hemoglobinopathies and Related Disorders 13
- Glioma Diagnosis and Treatment 10
-
- Cancer, Hypoxia, and Metabolism 13
- NF-κB Signaling Pathways 12
- Co-authors
- Shinsan M. SuShengfang JinKatharine YenStefan GrößValeria R. FantinEdward M. DriggersHyun Gyung JangMark Bittinger
- Journals
- Blood (15 papers)Clinical Cancer Research (3 papers)HemaSphere (3 papers)Nature (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesNetherlandsItaly
In The Last Decade
Lenny Dang
50 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Cancer Research 3.7k
- Genetics 2.3k
- Hematology 1.4k
- Molecular Biology 5.0k
- Oncology 1.5k
Countries citing papers authored by Lenny Dang
This map shows the geographic impact of Lenny Dang'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 Lenny Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lenny Dang more than expected).
Fields of papers citing papers by Lenny Dang
This network shows the impact of papers produced by Lenny Dang. 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 Lenny Dang. The network helps show where Lenny Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lenny Dang, 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 | 2023 | 5 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 2 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 7 | |
| 7 | 2020 | 54 | |
| 8 | 2019 | 4 | |
| 9 | 2019 | 99 | |
| 10 | 2017 | 19 | |
| 11 | IDH mutations in cancer and progress toward development of targeted therapeutics Hit paper breakdown → | 2016 | 363 |
| 12 | 2014 | 72 | |
| 13 | 2014 | 34 | |
| 14 | 2012 | 160 | |
| 15 | Cancer-associated metabolite 2-hydroxyglutarate accumulates in acute myelogenous leukemia with isocitrate dehydrogenase 1 and 2 mutations Hit paper breakdown → | 2010 | 558 |
| 16 | 2010 | 275 | |
| 17 | Cancer-associated IDH1 mutations produce 2-hydroxyglutarate Hit paper breakdown → | 2009 | 3067 |
| 18 | 2008 | 8 | |
| 19 | 2003 | 211 | |
| 20 | NF-κB as a Therapeutic Target in Multiple Myeloma Hit paper breakdown → | 2002 | 752 |
About Lenny Dang
Lenny Dang is a scholar working on Genetics, Cancer Research, Hematology, Physiology and Immunology, having authored 50 papers that have together received 8.3k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (18 papers), Cancer, Hypoxia, and Metabolism (13 papers), Hemoglobinopathies and Related Disorders (13 papers), NF-κB Signaling Pathways (12 papers), Glioma Diagnosis and Treatment (10 papers), Acute Myeloid Leukemia Research (9 papers), Blood groups and transfusion (5 papers) and Neonatal Health and Biochemistry (4 papers). The work is most often cited by research in Cancer Research (3.7k citations), Genetics (2.3k citations), Hematology (1.4k citations), Molecular Biology (5.0k citations) and Oncology (1.5k citations). Lenny Dang has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Shinsan M. Su, Shengfang Jin, Katharine Yen, Stefan Größ, Valeria R. Fantin, Edward M. Driggers, Hyun Gyung Jang, Mark Bittinger, Matthew G. Vander Heiden and Marie C. Keenan. Their work appears in journals such as Blood, Clinical Cancer Research, HemaSphere, Nature and Proceedings of the National Academy of Sciences.
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.