Lisa Ma
Impact in
- Genetics top 2%
- Hemoglobinopathies and Related Disorders
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Iron Metabolism and Disorders
Papers in
- Hematology 16
- Acute Myeloid Leukemia Research 12
- Iron Metabolism and Disorders 3
- Genetics 11
- Hemoglobinopathies and Related Disorders 7
- Co-authors
- Daniel A. Arber (23 shared papers)Stanley L. Schrier (7 shared papers)Robert Shigeo Ohgami (7 shared papers)Peter J. Snyder (2 shared papers)Jason Gotlib (6 shared papers)Reetesh K. Pai (4 shared papers)Jason D. Merker (5 shared papers)James L. Zehnder (5 shared papers)
- Journals
- Blood (10 papers)Modern Pathology (5 papers)American Journal of Clinical Pathology (5 papers)The American Journal of Surgical Pathology (4 papers)Journal of Pharmaceutical Sciences (3 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Lisa Ma
46 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 108
- Genetics 725
- Hematology 698
- Pathology and Forensic Medicine 403
- Oncology 527
- Physiology 424
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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 280 | |
| 2 | 1998 | 180 | |
| 3 | 2012 | 161 | |
| 4 | 2006 | 144 | |
| 5 | 2009 | 134 | |
| 6 | 2000 | 131 | |
| 7 | 2005 | 128 | |
| 8 | 2014 | 114 | |
| 9 | 2000 | 113 | |
| 10 | 2003 | 105 | |
| 11 | 2000 | 105 | |
| 12 | 2000 | 98 | |
| 13 | 2023 | 98 | |
| 14 | 2005 | 74 | |
| 15 | 1977 | 66 | |
| 16 | 2019 | 57 | |
| 17 | 1977 | 55 | |
| 18 | 2015 | 48 | |
| 19 | 2010 | 48 | |
| 20 | 2016 | 48 |
About Lisa Ma
Lisa Ma is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Physiology and Oncology, having authored 47 papers that have together received 2.6k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (12 papers), Erythrocyte Function and Pathophysiology (7 papers), Hemoglobinopathies and Related Disorders (7 papers), Lymphoma Diagnosis and Treatment (5 papers), Iron Metabolism and Disorders (3 papers), Histiocytic Disorders and Treatments (3 papers), Epigenetics and DNA Methylation (3 papers) and Protein purification and stability (2 papers). The work is most often cited by research in Genetics (725 citations), Hematology (698 citations), Pathology and Forensic Medicine (403 citations), Oncology (527 citations) and Physiology (424 citations). Lisa Ma has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Daniel A. Arber, Stanley L. Schrier, Robert Shigeo Ohgami, Peter J. Snyder, Jason Gotlib, Reetesh K. Pai, Jason D. Merker, James L. Zehnder, Rish K. Pai and Priya Jayachandran. Their work appears in journals such as Blood, Modern Pathology, American Journal of Clinical 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.