Yiting Lim
Impact in
- Molecular Biology top 10%
- RNA modifications and cancer
- Protein purification and stability
- RNA and protein synthesis mechanisms
- Hedgehog Signaling Pathway Studies
- RNA Research and Splicing
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
-
- Acute Myeloid Leukemia Research 2
-
- Hedgehog Signaling Pathway Studies 3
- RNA modifications and cancer 2
- Melanoma and MAPK Pathways 1
- RNA and protein synthesis mechanisms 1
- Co-authors
- Suzanne C. Edavettal (1 shared paper)Jeffrey G. Marblestone (1 shared paper)Tauseef R. Butt (1 shared paper)William H. Matsui (7 shared papers)Andrew Caleb Hsieh (3 shared papers)Sonali Arora (2 shared papers)Jeffrey J. Delrow (2 shared papers)Peter Leif Bergsagel (1 shared paper)
- Journals
- Blood (2 papers)Science Translational Medicine (2 papers)Nature Communications (2 papers)International Journal of Radiation Oncology*Biology*Physics (2 papers)Current Biology (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Yiting Lim
14 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 839
- Hematology 111
- Biotechnology 33
- Genetics 81
- Cancer Research 33
Countries citing papers authored by Yiting Lim
This map shows the geographic impact of Yiting Lim'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 Yiting Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiting Lim more than expected).
Fields of papers citing papers by Yiting Lim
This network shows the impact of papers produced by Yiting Lim. 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 Yiting Lim. The network helps show where Yiting Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiting Lim, 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 | 2018 | 417 | |
| 2 | 2005 | 396 | |
| 3 | 2013 | 62 | |
| 4 | 2019 | 59 | |
| 5 | 2019 | 57 | |
| 6 | 2015 | 56 | |
| 7 | 2021 | 42 | |
| 8 | 2010 | 30 | |
| 9 | 2018 | 22 | |
| 10 | 2020 | 11 | |
| 11 | 2012 | 10 | |
| 12 | 2014 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2011 | 1 |
About Yiting Lim
Yiting Lim is a scholar working on Hematology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cancer Research, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (3 papers), Acute Myeloid Leukemia Research (2 papers), Effects of Radiation Exposure (2 papers), Prostate Cancer Treatment and Research (2 papers), RNA modifications and cancer (2 papers), Melanoma and MAPK Pathways (1 paper), RNA and protein synthesis mechanisms (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Molecular Biology (839 citations), Hematology (111 citations), Biotechnology (33 citations), Genetics (81 citations) and Cancer Research (33 citations). Yiting Lim has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Suzanne C. Edavettal, Jeffrey G. Marblestone, Tauseef R. Butt, William H. Matsui, Andrew Caleb Hsieh, Sonali Arora, Jeffrey J. Delrow, Peter Leif Bergsagel, Toshihiko Tanno and Carol Ann Huff. Their work appears in journals such as Blood, Science Translational Medicine, Nature Communications, International Journal of Radiation Oncology*Biology*Physics and Current Biology.
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.