Sue Naim
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
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- Epigenetics and DNA Methylation
- Histone Deacetylase Inhibitors Research
- Peroxisome Proliferator-Activated Receptors
- Protein Degradation and Inhibitors
- Metabolism, Diabetes, and Cancer
Papers in
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- Histone Deacetylase Inhibitors Research 3
- Epigenetics and DNA Methylation 2
- Peroxisome Proliferator-Activated Receptors 1
- Cancer-related gene regulation 1
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- Acute Myeloid Leukemia Research 5
- Co-authors
- Ronald M. Krauss (2 shared papers)Xueyan Wang (2 shared papers)Brian K. Roberts (2 shared papers)David Karpf (2 shared papers)Yun‐Jung Choi (2 shared papers)Aram Oganesian (2 shared papers)Thomas Littlejohn (1 shared paper)Yong Hao (6 shared papers)
- Journals
- Journal of Clinical Oncology (2 papers)Cancer Research (2 papers)Clinical Cancer Research (1 paper)HemaSphere (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- United StatesCanadaBelgium
In The Last Decade
Sue Naim
10 papers receiving 493 citations
Peers
Comparison fields: 5 of 43
- Hematology 135
- Molecular Biology 321
- Epidemiology 100
- Cancer Research 40
- Genetics 27
Countries citing papers authored by Sue Naim
This map shows the geographic impact of Sue Naim'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 Sue Naim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sue Naim more than expected).
Fields of papers citing papers by Sue Naim
This network shows the impact of papers produced by Sue Naim. 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 Sue Naim. The network helps show where Sue Naim may publish in the future.
Co-authors
The 25 scholars most cited alongside Sue Naim, 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 | 2015 | 212 | |
| 2 | 2011 | 134 | |
| 3 | 2011 | 60 | |
| 4 | 2018 | 46 | |
| 5 | 2023 | 25 | |
| 6 | 2016 | 8 | |
| 7 | 2014 | 5 | |
| 8 | 2014 | 4 | |
| 9 | 2015 | 3 | |
| 10 | 2023 | 1 |
About Sue Naim
Sue Naim is a scholar working on Molecular Biology, Hematology, Pulmonary and Respiratory Medicine, Reproductive Medicine and Cancer Research, having authored 10 papers that have together received 498 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Histone Deacetylase Inhibitors Research (3 papers), Epigenetics and DNA Methylation (2 papers), Cancer Genomics and Diagnostics (2 papers), Renal cell carcinoma treatment (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper) and Cancer-related gene regulation (1 paper). The work is most often cited by research in Hematology (135 citations), Molecular Biology (321 citations), Epidemiology (100 citations), Cancer Research (40 citations) and Genetics (27 citations). Sue Naim has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Ronald M. Krauss, Xueyan Wang, Brian K. Roberts, David Karpf, Yun‐Jung Choi, Aram Oganesian, Thomas Littlejohn, Yong Hao, Boris Kerzner and Mohammad Azab. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Clinical Cancer Research, HemaSphere and The Journal of Clinical Endocrinology & Metabolism.
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.