Lisa Ma
Impact in
- Genetics top 1%
- Hemoglobinopathies and Related Disorders
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Iron Metabolism and Disorders
Papers in
- Hematology 15
- Acute Myeloid Leukemia Research 12
- Iron Metabolism and Disorders 3
- Genetics 11
- Hemoglobinopathies and Related Disorders 7
- Myeloproliferative Neoplasms: Diagnosis and Treatment 2
- Co-authors
- Daniel A. Arber (22 shared papers)Stanley L. Schrier (7 shared papers)Robert S. Ohgami (7 shared papers)Reetesh K. Pai (4 shared papers)Peter J. Snyder (2 shared papers)Rish K. Pai (3 shared papers)Jason Gotlib (6 shared papers)Jason D. Merker (5 shared papers)
- Journals
- Blood (10 papers)American Journal of Clinical Pathology (5 papers)Modern Pathology (5 papers)The American Journal of Surgical Pathology (4 papers)Journal of Pharmaceutical Sciences (3 papers)
- Partner nations
- United StatesItalyThailand
In The Last Decade
Lisa Ma
44 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 103
- Genetics 620
- Hematology 568
- Pathology and Forensic Medicine 354
- Oncology 456
- Physiology 326
Countries citing papers authored by Lisa Ma
This map shows the geographic impact of Lisa Ma'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 Lisa Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Ma more than expected).
Fields of papers citing papers by Lisa Ma
This network shows the impact of papers produced by Lisa Ma. 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 Lisa Ma. The network helps show where Lisa Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Lisa Ma, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 256 | |
| 2 | 1998 | 164 | |
| 3 | 2012 | 154 | |
| 4 | 2000 | 120 | |
| 5 | 2005 | 119 | |
| 6 | 2009 | 114 | |
| 7 | 2000 | 110 | |
| 8 | 2003 | 102 | |
| 9 | 2000 | 102 | |
| 10 | 2014 | 101 | |
| 11 | 2000 | 90 | |
| 12 | 2005 | 72 | |
| 13 | 1977 | 54 | |
| 14 | 2019 | 54 | |
| 15 | 1977 | 49 | |
| 16 | 2010 | 45 | |
| 17 | 2016 | 42 | |
| 18 | 2003 | 41 | |
| 19 | 2016 | 39 | |
| 20 | 2015 | 36 |
About Lisa Ma
Lisa Ma is a scholar working on Hematology, Genetics, Molecular Biology, Physiology and Pathology and Forensic Medicine, having authored 44 papers that have together received 2.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (12 papers), Hemoglobinopathies and Related Disorders (7 papers), Erythrocyte Function and Pathophysiology (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Epigenetics and DNA Methylation (3 papers), Iron Metabolism and Disorders (3 papers), Hormonal and reproductive studies (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Genetics (620 citations), Hematology (568 citations), Pathology and Forensic Medicine (354 citations), Oncology (456 citations) and Physiology (326 citations). Lisa Ma has collaborated with scholars based in United States, Italy and Thailand. Frequent co-authors include Daniel A. Arber, Stanley L. Schrier, Robert S. Ohgami, Reetesh K. Pai, Peter J. Snyder, Rish K. Pai, Jason Gotlib, Jason D. Merker, James L. Zehnder and Daniel T. Chang. Their work appears in journals such as Blood, American Journal of Clinical Pathology, Modern Pathology, The American Journal of Surgical Pathology and Journal of Pharmaceutical 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.