Francesca Lim
Impact in
- Transplantation top 10%
-
- CAR-T cell therapy research
Papers in
- Oncology 25
- CAR-T cell therapy research 17
-
- Lymphoma Diagnosis and Treatment 7
- Co-authors
- Chin Hur (15 shared papers)William Ying Khee Hwang (16 shared papers)Jennifer A. Woo Baidal (2 shared papers)Brandon Kyle Bellows (2 shared papers)Brianna N. Lauren (3 shared papers)Adam S. Faye (3 shared papers)Eunah Lee (2 shared papers)Randolph Guzman (1 shared paper)
- Journals
- Hematological Oncology (4 papers)JAMA Network Open (4 papers)Blood (3 papers)Clinical Gastroenterology and Hepatology (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- SingaporeUnited StatesUnited Kingdom
In The Last Decade
Francesca Lim
50 papers receiving 474 citations
Peers
Comparison fields: 5 of 68
- Transplantation 18
- Oncology 152
- Pathology and Forensic Medicine 57
- Hematology 36
- Immunology 67
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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 47 | |
| 2 | 2022 | 38 | |
| 3 | 2024 | 37 | |
| 4 | 2023 | 34 | |
| 5 | 2023 | 28 | |
| 6 | 2022 | 25 | |
| 7 | 2017 | 24 | |
| 8 | 1988 | 21 | |
| 9 | 2017 | 18 | |
| 10 | 2021 | 16 | |
| 11 | 2010 | 16 | |
| 12 | 2022 | 14 | |
| 13 | 2022 | 14 | |
| 14 | 1985 | 11 | |
| 15 | 2007 | 11 | |
| 16 | 2021 | 10 | |
| 17 | 2021 | 10 | |
| 18 | 2023 | 10 | |
| 19 | 2022 | 8 | |
| 20 | 2023 | 7 |
About Francesca Lim
Francesca Lim is a scholar working on Oncology, Pathology and Forensic Medicine, Genetics, Hematology and Transplantation, having authored 54 papers that have together received 488 indexed citations. Recurring topics across this work include CAR-T cell therapy research (17 papers), Lymphoma Diagnosis and Treatment (7 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Chronic Lymphocytic Leukemia Research (4 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Virus-based gene therapy research (4 papers), Integrated Circuits and Semiconductor Failure Analysis (3 papers) and Hematopoietic Stem Cell Transplantation (3 papers). The work is most often cited by research in Transplantation (18 citations), Oncology (152 citations), Pathology and Forensic Medicine (57 citations), Hematology (36 citations) and Immunology (67 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, Jennifer A. Woo Baidal, Brandon Kyle Bellows, Brianna N. Lauren, Adam S. Faye, Eunah Lee, Randolph Guzman, Elsie M. Taveras and John Kirkpatrick. Their work appears in journals such as Hematological Oncology, JAMA Network Open, Blood, Clinical Gastroenterology and Hepatology and International Journal of Molecular Sciences.
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.