Diana Lim
Impact in
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
- Endometriosis Research and Treatment
- Obstetrics and Gynecology top 5%
- Endometrial and Cervical Cancer Treatments
- Uterine Myomas and Treatments
Papers in
-
- Ovarian cancer diagnosis and treatment 12
- Endometriosis Research and Treatment 3
-
- Endometrial and Cervical Cancer Treatments 9
- Uterine Myomas and Treatments 4
- Co-authors
- Esther OlivaRobert A. SoslowAny CheungPhilip P.C. IpTakako KiyokawaMelissa P. MurrayNadeem R. Abu‐RustumGuangming Han
- Journals
- The American Journal of Surgical Pathology (3 papers)Clinical Cancer Research (2 papers)Seminars in Diagnostic Pathology (2 papers)Gynecologic Oncology (2 papers)Histopathology (2 papers)
- Partner nations
- SingaporeUnited StatesFrance
In The Last Decade
Diana Lim
27 papers receiving 407 citations
Peers
Comparison fields: 5 of 53
- Reproductive Medicine 234
- Obstetrics and Gynecology 211
- Pulmonary and Respiratory Medicine 96
- Pathology and Forensic Medicine 40
- Cancer Research 32
Countries citing papers authored by Diana Lim
This map shows the geographic impact of Diana 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 Diana Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana Lim more than expected).
Fields of papers citing papers by Diana Lim
This network shows the impact of papers produced by Diana 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 Diana Lim. The network helps show where Diana Lim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Diana 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 0 | |
| 6 | 2021 | 4 | |
| 7 | 2020 | 6 | |
| 8 | 2019 | 6 | |
| 9 | 2017 | 49 | |
| 10 | 2015 | 50 | |
| 11 | 2013 | 44 | |
| 12 | 2012 | 17 | |
| 13 | 2012 | 9 | |
| 14 | 2010 | 27 | |
| 15 | 2010 | 19 | |
| 16 | 2010 | 14 | |
| 17 | 2010 | 15 | |
| 18 | 2009 | 1 | |
| 19 | 2007 | 0 | |
| 20 | 2006 | 13 |
About Diana Lim
Diana Lim is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Cancer Research, Pulmonary and Respiratory Medicine and Otorhinolaryngology, having authored 30 papers that have together received 415 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (12 papers), Endometrial and Cervical Cancer Treatments (9 papers), Uterine Myomas and Treatments (4 papers), Chromatin Remodeling and Cancer (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Endometriosis Research and Treatment (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Reproductive Medicine (234 citations), Obstetrics and Gynecology (211 citations), Pulmonary and Respiratory Medicine (96 citations), Pathology and Forensic Medicine (40 citations) and Cancer Research (32 citations). Diana Lim has collaborated with scholars based in Singapore, United States and France. Frequent co-authors include Esther Oliva, Robert A. Soslow, Any Cheung, Philip P.C. Ip, Takako Kiyokawa, Melissa P. Murray, Nadeem R. Abu‐Rustum, Guangming Han, Mario M. Leitão and C. Blake Gilks. Their work appears in journals such as The American Journal of Surgical Pathology, Clinical Cancer Research, Seminars in Diagnostic Pathology, Gynecologic Oncology and Histopathology.
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.