Subreen A. Khatib
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Hepatology top 10%
Papers in
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- Single-cell and spatial transcriptomics 3
- Metabolism, Diabetes, and Cancer 2
- RNA Research and Splicing 2
- Epigenetics and DNA Methylation 2
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- Cancer Genomics and Diagnostics 3
- MicroRNA in disease regulation 2
- Co-authors
- Xin Wei Wang (10 shared papers)Lichun Ma (6 shared papers)Dana A. Dominguez (4 shared papers)Marshonna Forgues (5 shared papers)Limin Wang (3 shared papers)Michael C. Kelly (2 shared papers)Jonathan M. Hernandez (2 shared papers)S. Heinrich (2 shared papers)
- Journals
- Cancer Research (3 papers)Hepatology (2 papers)Molecular Cancer Research (2 papers)Nature Communications (1 paper)Journal of Hepatology (1 paper)
- Partner nations
- United StatesThailandGermany
In The Last Decade
Subreen A. Khatib
18 papers receiving 686 citations
Peers
Comparison fields: 5 of 66
- Cancer Research 209
- Hepatology 59
- Oncology 203
- Immunology 103
- Molecular Biology 293
Countries citing papers authored by Subreen A. Khatib
This map shows the geographic impact of Subreen A. Khatib'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 Subreen A. Khatib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subreen A. Khatib more than expected).
Fields of papers citing papers by Subreen A. Khatib
This network shows the impact of papers produced by Subreen A. Khatib. 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 Subreen A. Khatib. The network helps show where Subreen A. Khatib may publish in the future.
Co-authors
The 25 scholars most cited alongside Subreen A. Khatib, 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 | 2021 | 204 | |
| 2 | 2022 | 101 | |
| 3 | 2020 | 77 | |
| 4 | 2018 | 63 | |
| 5 | 2016 | 41 | |
| 6 | 2020 | 33 | |
| 7 | 2017 | 28 | |
| 8 | 2019 | 23 | |
| 9 | 2017 | 22 | |
| 10 | 2019 | 18 | |
| 11 | 2022 | 15 | |
| 12 | 2023 | 13 | |
| 13 | 2020 | 13 | |
| 14 | 2021 | 10 | |
| 15 | 2023 | 10 | |
| 16 | 2016 | 10 | |
| 17 | 2022 | 5 | |
| 18 | 2016 | 1 |
About Subreen A. Khatib
Subreen A. Khatib is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Physiology, having authored 18 papers that have together received 687 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Single-cell and spatial transcriptomics (3 papers), Cancer Risks and Factors (3 papers), Metabolism, Diabetes, and Cancer (2 papers), RNA Research and Splicing (2 papers), Epigenetics and DNA Methylation (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (209 citations), Hepatology (59 citations), Oncology (203 citations), Immunology (103 citations) and Molecular Biology (293 citations). Subreen A. Khatib has collaborated with scholars based in United States, Thailand and Germany. Frequent co-authors include Xin Wei Wang, Lichun Ma, Dana A. Dominguez, Marshonna Forgues, Limin Wang, Michael C. Kelly, Jonathan M. Hernandez, S. Heinrich, Tim F. Greten and Laura W. Bowers. Their work appears in journals such as Cancer Research, Hepatology, Molecular Cancer Research, Nature Communications and Journal of Hepatology.
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.