Qing Ma

2.5k total citations
74 papers, 1.7k citations indexed

About

Qing Ma is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Qing Ma has authored 74 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Immunology, 20 papers in Molecular Biology and 17 papers in Oncology. Recurrent topics in Qing Ma's work include Immunotherapy and Immune Responses (22 papers), Immune Cell Function and Interaction (19 papers) and T-cell and B-cell Immunology (16 papers). Qing Ma is often cited by papers focused on Immunotherapy and Immune Responses (22 papers), Immune Cell Function and Interaction (19 papers) and T-cell and B-cell Immunology (16 papers). Qing Ma collaborates with scholars based in United States, China and United Kingdom. Qing Ma's co-authors include Jeffrey J. Molldrem, Karen Clise-Dwyer, Gheath Alatrash, Lisa S. St. John, Vahid Afshar‐Kharghan, Richard E. Champlin, Kathryn Ruisaard, Dan Li, Hong He and Rebecca Patenia and has published in prestigious journals such as Physical Review Letters, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Qing Ma

71 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Ma United States 24 711 557 528 343 184 74 1.7k
Adela R. Cardones United States 18 1.2k 1.6× 1.3k 2.4× 486 0.9× 152 0.4× 113 0.6× 61 2.3k
Giuseppe Sciumè Italy 25 1.9k 2.6× 593 1.1× 455 0.9× 149 0.4× 221 1.2× 55 2.5k
Dominique Hétuin France 15 685 1.0× 714 1.3× 1.4k 2.6× 273 0.8× 913 5.0× 16 2.2k
Sebastian P. Haen Germany 17 472 0.7× 472 0.8× 304 0.6× 152 0.4× 51 0.3× 31 1.1k
Weon Seo Park South Korea 27 440 0.6× 551 1.0× 690 1.3× 81 0.2× 347 1.9× 145 2.2k
Melinda Sanders United States 24 568 0.8× 571 1.0× 397 0.8× 42 0.1× 113 0.6× 52 2.0k
Kenji Hayashida Japan 27 878 1.2× 707 1.3× 507 1.0× 137 0.4× 137 0.7× 72 2.7k
Tatiana Lebedeva United States 22 781 1.1× 213 0.4× 351 0.7× 442 1.3× 117 0.6× 63 1.9k
Ai-Hong Zhang United States 17 720 1.0× 455 0.8× 294 0.6× 197 0.6× 27 0.1× 50 1.3k
T K Kishimoto United States 18 1.3k 1.9× 272 0.5× 656 1.2× 352 1.0× 289 1.6× 23 2.4k

Countries citing papers authored by Qing Ma

Since Specialization
Citations

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

Fields of papers citing papers by Qing Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Ma

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

All Works

20 of 20 papers shown
1.
Zhang, Xinyu, Xiaokai Li, Qing Ma, et al.. (2025). Experimental Evidence for Double Intermolecular Coulombic Decay in Bio-Relevant Molecular Dimers. Physical Review Letters. 134(3). 33001–33001. 2 indexed citations
2.
Lu, Wu, Qing Ma, Yongtao Zhao, et al.. (2025). State- and time-resolved observation of ultrafast intermolecular proton transfer in hydrated biomolecules. Nature Communications. 16(1). 5838–5838. 1 indexed citations
3.
Ma, Qing, Hanxiang Liu, Ming Liu, et al.. (2025). TrkB signaling promotes alveolar capillary angiogenesis following perinatal hyperoxic damage. American Journal of Physiology-Lung Cellular and Molecular Physiology. 328(5). L617–L630.
5.
Сергеева, Анна, Hong He, Lisa S. St. John, et al.. (2023). CD47 Blockade Enhances Phagocytic Activity of the TCR-Mimic Antibody Hu8F4 Against HLA-A2+ AML. Blood. 142(Supplement 1). 4176–4176. 1 indexed citations
6.
Ma, Qing, Liuyi Yang, Karen Tolentino, et al.. (2022). Inducible lncRNA transgenic mice reveal continual role of HOTAIR in promoting breast cancer metastasis. eLife. 11. 31 indexed citations
7.
Ioannou, Nikolaos, Mariela Sivina, Karen Clise-Dwyer, et al.. (2022). Activation and expansion of T-follicular helper cells in chronic lymphocytic leukemia nurselike cell co-cultures. Leukemia. 36(5). 1324–1335. 12 indexed citations
8.
Cho, Min Soon, Hani Lee, Ricardo J. Gonzalez, et al.. (2022). Platelets Increase the Expression of PD-L1 in Ovarian Cancer. Cancers. 14(10). 2498–2498. 21 indexed citations
9.
Saliba, Rima M., Uri Greenbaum, Qing Ma, et al.. (2021). Mismatch in SIRPα, a regulatory protein in innate immunity, is associated with chronic GVHD in hematopoietic stem cell transplantation. Blood Advances. 5(17). 3407–3417. 5 indexed citations
10.
Li, Jian Jian, et al.. (2021). The Role of Long Non-coding RNAs in Human Imprinting Disorders: Prospective Therapeutic Targets. Frontiers in Cell and Developmental Biology. 9. 730014–730014. 16 indexed citations
11.
Lu, Sijie, Xiaoling Ding, Dan Li, et al.. (2021). Novel myeloperoxidase-derived HLA-A2-restricted peptides as therapeutic targets against myeloid leukemia. Cytotherapy. 23(9). 793–798. 1 indexed citations
12.
Wu, Xiaohua, Xiaoxuan Zhang, Pei Shu, et al.. (2020). A39 Reactive Cutaneous Capillary Endothelial Proliferation Caused by Camrelizumab (SHR-1210) Through Activation of HIF-1α/VEGF Signaling Pathway. Journal of Thoracic Oncology. 15(2). S25–S26. 2 indexed citations
13.
Alatrash, Gheath, Na Qiao, Pariya Sukhumalchandra, et al.. (2019). Fucosylation Enhances the Efficacy of Adoptively Transferred Antigen-Specific Cytotoxic T Lymphocytes. Clinical Cancer Research. 25(8). 2610–2620. 21 indexed citations
14.
15.
Philips, Anne V., Na Qiao, Karen Clise-Dwyer, et al.. (2017). Trastuzumab Increases HER2 Uptake and Cross-Presentation by Dendritic Cells. Cancer Research. 77(19). 5374–5383. 124 indexed citations
16.
John, Lisa S. St., Liping Wan, Hong He, et al.. (2016). PR1-specific cytotoxic T lymphocytes are relatively frequent in umbilical cord blood and can be effectively expanded to target myeloid leukemia. Cytotherapy. 18(8). 995–1001. 8 indexed citations
17.
Ma, Qing, Rebecca Patenia, Kenneth Y. Tsai, et al.. (2014). Complement component C3 mediates Th1/Th17 polarization in human T-cell activation and cutaneous GVHD. Bone Marrow Transplantation. 49(7). 972–976. 32 indexed citations
18.
Wang, Yang, Dan Jones, Roland L. Bassett, et al.. (2009). Blocking LFA-1 Activation with Lovastatin Prevents Graft-versus-Host Disease in Mouse Bone Marrow Transplantation. Biology of Blood and Marrow Transplantation. 15(12). 1513–1522. 28 indexed citations
19.
Wang, Yan, et al.. (2008). Relationship Between Oxidized LDL Antibodies and Different Stages of Esophageal Carcinoma. Archives of Medical Research. 39(8). 760–767. 10 indexed citations
20.
Wang, Xipeng, Michael T. Deavers, Rebecca Patenia, et al.. (2006). Monocyte/macrophage and T-cell infiltrates in peritoneum of patients with ovarian cancer or benign pelvic disease. Journal of Translational Medicine. 4(1). 30–30. 69 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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