Francesca Lim
Impact in
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- Renal Transplantation Outcomes and Treatments
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- CAR-T cell therapy research
Papers in
- Oncology 26
- CAR-T cell therapy research 17
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- Lymphoma Diagnosis and Treatment 8
- Co-authors
- Chin Hur (13 shared papers)William Ying Khee Hwang (13 shared papers)Brandon K. Bellows (2 shared papers)Jennifer A. Woo Baidal (2 shared papers)Brianna N. Lauren (3 shared papers)Adam S. Faye (3 shared papers)Eunah Lee (2 shared papers)Yunxin Chen (7 shared papers)
- Journals
- Blood (4 papers)JAMA Network Open (3 papers)Hematological Oncology (3 papers)International Journal of Molecular Sciences (2 papers)Bone Marrow Transplantation (2 papers)
- Partner nations
- SingaporeUnited StatesUnited Kingdom
In The Last Decade
Francesca Lim
42 papers receiving 344 citations
Peers
Comparison fields: 5 of 65
- Transplantation 17
- Oncology 138
- Hematology 37
- Pathology and Forensic Medicine 57
- Immunology 62
Countries citing papers authored by Francesca Lim
This map shows the geographic impact of Francesca 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 Francesca Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Lim more than expected).
Fields of papers citing papers by Francesca Lim
This network shows the impact of papers produced by Francesca 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 Francesca Lim. The network helps show where Francesca Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesca 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
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 38 | |
| 2 | 2022 | 24 | |
| 3 | 2023 | 24 | |
| 4 | 2022 | 23 | |
| 5 | 2024 | 22 | |
| 6 | 2017 | 20 | |
| 7 | 2017 | 17 | |
| 8 | 2023 | 16 | |
| 9 | 2022 | 14 | |
| 10 | 2021 | 14 | |
| 11 | 2010 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2007 | 10 | |
| 14 | 2023 | 9 | |
| 15 | 2021 | 9 | |
| 16 | 1985 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2023 | 5 |
About Francesca Lim
Francesca Lim is a scholar working on Oncology, Pathology and Forensic Medicine, Surgery, Molecular Biology and Genetics, having authored 49 papers that have together received 350 indexed citations. Recurring topics across this work include CAR-T cell therapy research (17 papers), Lymphoma Diagnosis and Treatment (8 papers), Chronic Lymphocytic Leukemia Research (5 papers), Gastric Cancer Management and Outcomes (5 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Virus-based gene therapy research (4 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers) and Integrated Circuits and Semiconductor Failure Analysis (3 papers). The work is most often cited by research in Transplantation (17 citations), Oncology (138 citations), Hematology (37 citations), Pathology and Forensic Medicine (57 citations) and Immunology (62 citations). Francesca Lim has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Chin Hur, William Ying Khee Hwang, Brandon K. Bellows, Jennifer A. Woo Baidal, Brianna N. Lauren, Adam S. Faye, Eunah Lee, Yunxin Chen, Michel Duval and Elsie M. Taveras. Their work appears in journals such as Blood, JAMA Network Open, Hematological Oncology, International Journal of Molecular Sciences and Bone Marrow Transplantation.
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.