Mimi Lo
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Platelet Disorders and Treatments
- Blood groups and transfusion
- Hematopoietic Stem Cell Transplantation
-
- CAR-T cell therapy research
Papers in ⓘ
- Oncology 21
- CAR-T cell therapy research 11
- Neutropenia and Cancer Infections 4
- Hematology 13
- Multiple Myeloma Research and Treatments 10
- Co-authors
- Jeffrey A. Gilreath (1 shared paper)Joseph Bubalo (1 shared paper)Sandy W. Wong (14 shared papers)Chiung‐Yu Huang (12 shared papers)Nina Shah (15 shared papers)Thomas Martin (11 shared papers)Vanessa E. Kennedy (3 shared papers)Ying Sheng (3 shared papers)
- Journals
- Blood (9 papers)Transplantation and Cellular Therapy (4 papers)Journal of Clinical Oncology (3 papers)Future Oncology (1 paper)Blood Advances (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Mimi Lo
35 papers receiving 368 citations
Peers
Comparison fields: 5 of 55
- Hematology 162
- Oncology 196
- Internal Medicine 16
- Genetics 38
- Immunology 49
Countries citing papers authored by Mimi Lo
This map shows the geographic impact of Mimi Lo'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 Mimi Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mimi Lo more than expected).
Fields of papers citing papers by Mimi Lo
This network shows the impact of papers produced by Mimi Lo. 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 Mimi Lo. The network helps show where Mimi Lo may publish in the future.
Co-authors
The 25 scholars most cited alongside Mimi Lo, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 79 | |
| 2 | 2021 | 61 | |
| 3 | 2021 | 27 | |
| 4 | 2023 | 26 | |
| 5 | 2015 | 24 | |
| 6 | 2010 | 21 | |
| 7 | 2019 | 16 | |
| 8 | 2021 | 15 | |
| 9 | 2021 | 15 | |
| 10 | 2020 | 10 | |
| 11 | A treatable case of dementia--intracranial dural arteriovenous fistula. | 2006 | 10 |
| 12 | 2023 | 8 | |
| 13 | 2008 | 7 | |
| 14 | 2020 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2021 | 3 | |
| 20 | 2020 | 3 |
About Mimi Lo
Mimi Lo is a scholar working on Oncology, Hematology, Molecular Biology, Internal Medicine and Pulmonary and Respiratory Medicine, having authored 38 papers that have together received 373 indexed citations. Recurring topics across this work include CAR-T cell therapy research (11 papers), Multiple Myeloma Research and Treatments (10 papers), Venous Thromboembolism Diagnosis and Management (6 papers), Protein Degradation and Inhibitors (5 papers), Central Venous Catheters and Hemodialysis (4 papers), Neutropenia and Cancer Infections (4 papers), Economic and Financial Impacts of Cancer (3 papers) and Medication Adherence and Compliance (3 papers). The work is most often cited by research in Hematology (162 citations), Oncology (196 citations), Internal Medicine (16 citations), Genetics (38 citations) and Immunology (49 citations). Mimi Lo has collaborated with scholars based in United States and China. Frequent co-authors include Jeffrey A. Gilreath, Joseph Bubalo, Sandy W. Wong, Chiung‐Yu Huang, Nina Shah, Thomas Martin, Vanessa E. Kennedy, Ying Sheng, Swetha Kambhampati and R. Fong. Their work appears in journals such as Blood, Transplantation and Cellular Therapy, Journal of Clinical Oncology, Future Oncology and Blood Advances.
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.