Rita Yim
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Hematology 21
- Acute Myeloid Leukemia Research 15
- Chronic Myeloid Leukemia Treatments 6
- Multiple Myeloma Research and Treatments 3
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- Retinoids in leukemia and cellular processes 9
- Epigenetics and DNA Methylation 5
- Co-authors
- Yok‐Lam Kwong (22 shared papers)Kwan Yeung Wong (4 shared papers)Chor Sang Chim (4 shared papers)Finlay A. McAlister (2 shared papers)Koon Teo (2 shared papers)Terrence J. Montague (2 shared papers)Dino Samartzis (2 shared papers)Harinder Gill (18 shared papers)
In The Last Decade
Rita Yim
33 papers receiving 640 citations
Peers
Comparison fields: 5 of 84
- Hematology 179
- Cancer Research 115
- Genetics 80
- Biochemistry 44
- Pathology and Forensic Medicine 121
Countries citing papers authored by Rita Yim
This map shows the geographic impact of Rita Yim'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 Rita Yim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita Yim more than expected).
Fields of papers citing papers by Rita Yim
This network shows the impact of papers produced by Rita Yim. 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 Rita Yim. The network helps show where Rita Yim may publish in the future.
Co-authors
The 25 scholars most cited alongside Rita Yim, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 122 | |
| 2 | 2014 | 81 | |
| 3 | 2013 | 61 | |
| 4 | 2011 | 55 | |
| 5 | 2018 | 44 | |
| 6 | 1999 | 30 | |
| 7 | 2018 | 29 | |
| 8 | 2021 | 28 | |
| 9 | 2014 | 24 | |
| 10 | 1996 | 21 | |
| 11 | 2021 | 20 | |
| 12 | 2019 | 19 | |
| 13 | 2012 | 15 | |
| 14 | 2018 | 15 | |
| 15 | 2023 | 12 | |
| 16 | 2020 | 12 | |
| 17 | 2020 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 2023 | 7 |
About Rita Yim
Rita Yim is a scholar working on Hematology, Molecular Biology, Genetics, Rheumatology and Biochemistry, having authored 36 papers that have together received 654 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (12 papers), Retinoids in leukemia and cellular processes (9 papers), Chronic Myeloid Leukemia Treatments (6 papers), Epigenetics and DNA Methylation (5 papers), Eosinophilic Disorders and Syndromes (5 papers), Antioxidant Activity and Oxidative Stress (4 papers) and Multiple Myeloma Research and Treatments (3 papers). The work is most often cited by research in Hematology (179 citations), Cancer Research (115 citations), Genetics (80 citations), Biochemistry (44 citations) and Pathology and Forensic Medicine (121 citations). Rita Yim has collaborated with scholars based in Hong Kong, China and Taiwan. Frequent co-authors include Yok‐Lam Kwong, Kwan Yeung Wong, Chor Sang Chim, Finlay A. McAlister, Koon Teo, Terrence J. Montague, Dino Samartzis, Harinder Gill, Dong‐Yan Jin and Lawrence Cheung. Their work appears in journals such as Blood, Cancer, International Journal of Molecular Sciences, HemaSphere and BMC 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.