Lisa Ma

3.1k citations
40 papers · 2.1k · h-index 23

Impact in

  • Genetics top 1%
    • Hemoglobinopathies and Related Disorders
  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Iron Metabolism and Disorders

Papers in

    • Acute Myeloid Leukemia Research 13
    • Iron Metabolism and Disorders 3
    • Hemoglobinopathies and Related Disorders 8
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 3

Lisa Ma

40 papers receiving 2.0k citations

Peers

Lisa Ma
Comparison fields: 5 of 102
  • Genetics 701
  • Hematology 623
  • Pathology and Forensic Medicine 470
  • Oncology 567
  • Physiology 365
Replace Beverly W. Baron with:
Beverly W. Baron United States
Endi Wang United States
Mark C. Wilkes United States
Gandhi Damaj France
Anna Teresa Maiolo Italy
F. Caux France
Mary J. Marchese United States
Constantina Petraki Greece
Kazuma Ikeda Japan
Susan Russell United States
Lisa Ma relative to Beverly W. Baron United States Beverly W. Baron's profile →
Citations per field
00.5×3.2×
Beverly W. Baron · 1×
Citations per year

Countries citing papers authored by Lisa Ma

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Lisa Ma Line = papers co-authored together Lisa Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012248
2 1998164
3 2012152
4 2000119
5 2005115
6 2009113
7 2000110
8 2003102
9 2000101
10 201497
11 200090
12 200572
13 197754
14 201952
15 197749
16 201045
17 201641
18 200340
19 201639
20 201536

About Lisa Ma

Lisa Ma is a scholar working on Hematology, Genetics, Molecular Biology, Physiology and Pathology and Forensic Medicine, having authored 40 papers that have together received 2.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (13 papers), Erythrocyte Function and Pathophysiology (8 papers), Hemoglobinopathies and Related Disorders (8 papers), Lymphoma Diagnosis and Treatment (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Iron Metabolism and Disorders (3 papers), Epigenetics and DNA Methylation (3 papers) and Cutaneous lymphoproliferative disorders research (3 papers). The work is most often cited by research in Genetics (701 citations), Hematology (623 citations), Pathology and Forensic Medicine (470 citations), Oncology (567 citations) and Physiology (365 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 Priya Jayachandran. Their work appears in journals such as Blood, Modern Pathology, American Journal of Clinical Pathology, The American Journal of Surgical Pathology and The Journal of Clinical Endocrinology & Metabolism.

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.

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