Jairo Matthews

1.8k total citations
22 papers, 403 citations indexed

About

Jairo Matthews is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Jairo Matthews has authored 22 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hematology, 11 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Jairo Matthews's work include Acute Myeloid Leukemia Research (7 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Single-cell and spatial transcriptomics (4 papers). Jairo Matthews is often cited by papers focused on Acute Myeloid Leukemia Research (7 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Single-cell and spatial transcriptomics (4 papers). Jairo Matthews collaborates with scholars based in United States, Lebanon and China. Jairo Matthews's co-authors include Keyur P. Patel, Hagop M. Kantarjian, Steven M. Kornblau, Koichi Takahashi, William M. Oldham, Dennis J. Eastburn, Adam Sciambi, Tina X. Chen, Jennifer A. Geis and P. Andrew Futreal and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer.

In The Last Decade

Jairo Matthews

19 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jairo Matthews United States	9	223	166	124	94	53	22	403
Hongbing Ma China	10	202 0.9×	116 0.7×	98 0.8×	103 1.1×	22 0.4×	53	388
Christopher A.G. Booth United Kingdom	7	252 1.1×	219 1.3×	104 0.8×	76 0.8×	30 0.6×	13	426
Rawan Faramand United States	10	154 0.7×	115 0.7×	37 0.3×	210 2.2×	24 0.5×	37	375
Nikki A. Evensen United States	8	212 1.0×	38 0.2×	107 0.9×	109 1.2×	58 1.1×	18	352
Thomas Mika Germany	11	80 0.4×	68 0.4×	67 0.5×	151 1.6×	19 0.4×	27	295
Yue-Zhong Wu United States	10	416 1.9×	69 0.4×	73 0.6×	59 0.6×	18 0.3×	10	487
Phaik Ju Teoh Singapore	8	294 1.3×	175 1.1×	39 0.3×	189 2.0×	10 0.2×	15	406
Tim Grob Netherlands	7	190 0.9×	309 1.9×	52 0.4×	39 0.4×	49 0.9×	18	423
Rosalind Codrington United Kingdom	7	185 0.8×	109 0.7×	26 0.2×	86 0.9×	95 1.8×	8	339
Wendelien Zeijlemaker Netherlands	10	220 1.0×	537 3.2×	107 0.9×	108 1.1×	146 2.8×	12	616

Countries citing papers authored by Jairo Matthews

Since Specialization

Citations

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

Fields of papers citing papers by Jairo Matthews

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jairo Matthews

This figure shows the co-authorship network connecting the top 25 collaborators of Jairo Matthews. A scholar is included among the top collaborators of Jairo Matthews 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 Jairo Matthews. Jairo Matthews is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Short, Nicholas J., Elias Jabbour, Walid Macaron, et al.. (2025). Prognostic impact of early NGS MRD dynamics and cytomolecular risk in newly diagnosed B-cell ALL. Blood Cancer Journal. 15(1). 169–169.

Kantarjian, Hagop M., Nitin B. Jain, Fadi Haddad, et al.. (2025). A comprehensive analysis of PCR for BCR::ABL1 and next-generation sequencing (NGS)-based measurable residual disease (MRD) with Philadelphia chromosome-positive acute lymphoblastic leukemia (Ph+ ALL): Prevalence, association with transcript type, and clinical outcomes. Blood. 146(Supplement 1). 551–551.

Wang, Bofei, Fatima Zahra Jelloul, Sean Mackay, et al.. (2024). Single-Cell CD4 and CD8 T-Cell Secretome Profiling Reveals Temporal and Niche Differences in Acute Myeloid Leukemia Following Immune Checkpoint Blockade Therapy. Cancer Research Communications. 4(3). 671–681. 5 indexed citations

Macaron, Walid, Nitin B. Jain, Fadi Haddad, et al.. (2024). Early Achievement of Deep Measurable Residual Disease (MRD) Negativity Identifies Patients with B-Cell Acute Lymphoblastic Leukemia (ALL) Who Have Excellent Long-Term Outcomes and Do Not Benefit from Allogeneic Stem Cell Transplant, Irrespective of Baseline High-Risk Cytomolecular Features. Blood. 144(Supplement 1). 727–727. 4 indexed citations

Short, Nicholas J., Elias Jabbour, Walid Macaron, et al.. (2023). Ultrasensitive NGS MRD assessment in Ph+ ALL : Prognostic impact and correlation with RT‐PCR for BCR::ABL1. American Journal of Hematology. 98(8). 1196–1203. 37 indexed citations

Zeng, Zhihong, Abhishek Maiti, Shelley M. Herbrich, et al.. (2022). Triple combination targeting methyltransferase, BCL‐2, and PD‐1 facilitates antileukemia responses in acute myeloid leukemia. Cancer. 129(4). 531–540. 7 indexed citations

Abbas, Hussein A., Sean Mackay, Jing Zhou, et al.. (2021). Single-cell polyfunctional proteomics of CD4 cells from patients with AML predicts responses to anti–PD-1–based therapy. Blood Advances. 5(22). 4569–4574. 21 indexed citations

Short, Nicholas J., Hagop M. Kantarjian, Keyur P. Patel, et al.. (2020). Ultrasensitive Next-Generation Sequencing-Based Measurable Residual Disease Assessment in Philadelphia Chromosome-Negative Acute Lymphoblastic Leukemia after Frontline Therapy: Correlation with Flow Cytometry and Impact on Clinical Outcomes. Blood. 136(Supplement 1). 26–28. 5 indexed citations

Shoukier, Mahran, Gautam Borthakur, Elias Jabbour, et al.. (2020). The effect of eltrombopag in managing thrombocytopenia associated with tyrosine kinase therapy in patients with chronic myeloid leukemia and myelofibrosis. Haematologica. 106(11). 2853–2858. 14 indexed citations

10.

Short, Nicholas J., Keyur P. Patel, Maher Albitar, et al.. (2020). Targeted next-generation sequencing of circulating cell-free DNA vs bone marrow in patients with acute myeloid leukemia. Blood Advances. 4(8). 1670–1677. 33 indexed citations

11.

Short, Nicholas J., Keyur P. Patel, Maher Albitar, et al.. (2019). Sequencing of Circulating Cell-Free DNA in Patients with AML Detects Clinically Significant Mutations Not Detected in Bone Marrow: The Role for Complementary Peripheral Blood and Bone Marrow Genomic Analysis. Blood. 134(Supplement_1). 2592–2592. 1 indexed citations

12.

Shoukier, Mahran, Hagop M. Kantarjian, Jörge E. Cortes, et al.. (2019). The effect of eltrombopag in managing thrombocytopenia associated with tyrosine kinase therapy in patients with chronic myeloid leukemia and myelofibrosis.. Journal of Clinical Oncology. 37(15_suppl). e18539–e18539. 3 indexed citations

13.

Daver, Naval, Hagop M. Kantarjian, Sean Mackay, et al.. (2019). Abstract LB-222: Polyfunctionality determined by single-cell proteomics of bone marrow-derived CD4 T cells from patients with acute myeloid leukemia identifies patients responding to anti-PD-1-based therapy and discovers profound T cell defect in mutant TP53 disease. Cancer Research. 79(13_Supplement). LB–222. 5 indexed citations

14.

Pellegrino, Maurizio, Adam Sciambi, Sebastian Treusch, et al.. (2018). High-throughput single-cell DNA sequencing of acute myeloid leukemia tumors with droplet microfluidics. Genome Research. 28(9). 1345–1352. 148 indexed citations

15.

Eastburn, Dennis J., Maurizio Pellegrino, Adam Sciambi, et al.. (2018). Abstract 5348: Single-cell analysis of mutational heterogeneity in acute myeloid leukemia tumors with high-throughput droplet microfluidics. Cancer Research. 78(13_Supplement). 5348–5348. 4 indexed citations

16.

Yang, Jing, Jin He, Yabing Cao, et al.. (2012). Constitutive activation of p38 MAPK in tumor cells contributes to osteolytic bone lesions in multiple myeloma. Leukemia. 26(9). 2114–2123. 23 indexed citations

17.

Ma, Wencai, Michael Wang, Zhiqiang Wang, et al.. (2010). Effect of Long-term Storage in TRIzol on Microarray-Based Gene Expression Profiling. Cancer Epidemiology Biomarkers & Prevention. 19(10). 2445–2452. 35 indexed citations

18.

Yang, Lin, H. Wang, Steven M. Kornblau, et al.. (2010). Evidence of a role for the novel zinc-finger transcription factor ZKSCAN3 in modulating Cyclin D2 expression in multiple myeloma. Oncogene. 30(11). 1329–1340. 43 indexed citations

19.

Bjorklund, Chad C., Deborah J. Kuhn, Jairo Matthews, et al.. (2009). Activation of the Wnt/β-Catenin Pathway Mediates Lenalidomide Resistance in Multiple Myeloma.. Blood. 114(22). 113–113.

20.

Misawa, Kiyoshi, Yuki Misawa, Pavan K. Kommareddi, et al.. (2004). Cloning and expression of the human galanin receptor 1 in head and neck cancer cells. Cancer Research. 64. 428–428. 2 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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