Hayley Ma

542 total citations
10 papers, 415 citations indexed

About

Hayley Ma is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Hayley Ma has authored 10 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hematology, 3 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Hayley Ma's work include Acute Myeloid Leukemia Research (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). Hayley Ma is often cited by papers focused on Acute Myeloid Leukemia Research (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). Hayley Ma collaborates with scholars based in United States, Switzerland and Germany. Hayley Ma's co-authors include Mark J. Levis, Donald Small, Trivikram Rajkhowa, Jörge E. Cortes, Abhijit Ramachandran, Li Li, Bao Nguyen, Matthew G. H. Chun, David J. Young and B. Cinader and has published in prestigious journals such as Blood, Cancer Research and Science Translational Medicine.

In The Last Decade

Hayley Ma

10 papers receiving 399 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hayley Ma United States	7	245	201	93	91	60	10	415
Prapti A. Patel United States	13	323 1.3×	240 1.2×	156 1.7×	91 1.0×	61 1.0×	60	532
William B. Donnellan United States	13	398 1.6×	262 1.3×	207 2.2×	65 0.7×	183 3.0×	47	620
Ph. Bernard France	8	303 1.2×	115 0.6×	67 0.7×	159 1.7×	83 1.4×	13	448
Zhao Yang United States	10	233 1.0×	177 0.9×	199 2.1×	21 0.2×	57 0.9×	21	408
Takaaki Chou Japan	12	354 1.4×	234 1.2×	188 2.0×	65 0.7×	65 1.1×	47	469
Yoshiaki Kuroda Japan	12	222 0.9×	204 1.0×	161 1.7×	51 0.6×	71 1.2×	36	403
Francesca Corradini Italy	10	118 0.5×	199 1.0×	71 0.8×	41 0.5×	35 0.6×	15	353
Vojkan Susulic United States	3	94 0.4×	54 0.3×	87 0.9×	77 0.8×	100 1.7×	3	271
Pauline Huyghe France	4	314 1.3×	262 1.3×	121 1.3×	86 0.9×	20 0.3×	9	389
Maria Krevvata United States	8	422 1.7×	288 1.4×	263 2.8×	66 0.7×	72 1.2×	23	479

Countries citing papers authored by Hayley Ma

Since Specialization

Citations

This map shows the geographic impact of Hayley 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 Hayley Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hayley Ma more than expected).

Fields of papers citing papers by Hayley Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hayley 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 Hayley Ma. The network helps show where Hayley Ma may publish in the future.

Co-authorship network of co-authors of Hayley Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Hayley Ma. A scholar is included among the top collaborators of Hayley Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hayley Ma. Hayley Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Case, Ryan, Kathy Y. Wei, Benjamin M. Alba, et al.. (2025). Characterization and comparative analysis of multifunctional natural killer cell engagers during antitumor responses. Cell Reports Medicine. 6(5). 102117–102117. 2 indexed citations

2.

Cheng, Alan, et al.. (2022). Factors Impacting Gender Diagnostic Differences in ADHD: A Review. 1(1). 2 indexed citations

3.

Belmontes, Brian, Siyuan Liu, Jodi Moriguchi, et al.. (2022). Abstract 1807: The discovery and preclinical characterization of the MTA cooperative PRMT5 inhibitor AM-9747. Cancer Research. 82(12_Supplement). 1807–1807. 4 indexed citations

4.

Belmontes, Brian, Deepali V. Sawant, Wendy Zhong, et al.. (2021). Immunotherapy combinations overcome resistance to bispecific T cell engager treatment in T cell–cold solid tumors. Science Translational Medicine. 13(608). 72 indexed citations

5.

Nagai, Kozo, Lihong Hou, Li Li, et al.. (2018). Combination of ATO with FLT3 TKIs eliminates FLT3/ITD+ leukemia cells through reduced expression of FLT3. Oncotarget. 9(68). 32885–32899. 22 indexed citations

6.

Nguyen, Bao, David J. Young, Hayley Ma, et al.. (2017). FLT3 activating mutations display differential sensitivity to multiple tyrosine kinase inhibitors. Oncotarget. 8(7). 10931–10944. 33 indexed citations

7.

Lim, Yiting, Lukasz P. Gondek, Li Li, et al.. (2015). Integration of Hedgehog and mutant FLT3 signaling in myeloid leukemia. Science Translational Medicine. 7(291). 291ra96–291ra96. 49 indexed citations

8.

Ma, Hayley, Bao Nguyen, Li Li, et al.. (2014). TTT-3002 is a novel FLT3 tyrosine kinase inhibitor with activity against FLT3-associated leukemias in vitro and in vivo. Blood. 123(10). 1525–1534. 21 indexed citations

9.

Ma, Hayley, Trivikram Rajkhowa, Abhijit Ramachandran, et al.. (2013). Crenolanib is a potent inhibitor of FLT3 with activity against resistance-conferring point mutants. Blood. 123(1). 94–100. 195 indexed citations

10.

Cinader, B., et al.. (1961). Immunotherapy of a patient with choriocarcinoma.. PubMed. 84. 306–9. 15 indexed citations

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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