Lianqun Qiu

772 total citations
34 papers, 479 citations indexed

About

Lianqun Qiu is a scholar working on Pathology and Forensic Medicine, Genetics and Molecular Biology. According to data from OpenAlex, Lianqun Qiu has authored 34 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pathology and Forensic Medicine, 11 papers in Genetics and 9 papers in Molecular Biology. Recurrent topics in Lianqun Qiu's work include Lymphoma Diagnosis and Treatment (16 papers), Chronic Lymphocytic Leukemia Research (10 papers) and CNS Lymphoma Diagnosis and Treatment (8 papers). Lianqun Qiu is often cited by papers focused on Lymphoma Diagnosis and Treatment (16 papers), Chronic Lymphocytic Leukemia Research (10 papers) and CNS Lymphoma Diagnosis and Treatment (8 papers). Lianqun Qiu collaborates with scholars based in United States, Singapore and China. Lianqun Qiu's co-authors include Perry J. Blackshear, Deborah J. Stumpo, Raja Sinniah, Wi S. Lai, Keh-Chuang Chin, Peter Cresswell, Stephen I‐Hong Hsu, L. Jeffrey Medeiros, Darryl C. Zeldin and Shaoying Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Immunology.

In The Last Decade

Lianqun Qiu

29 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lianqun Qiu United States 11 221 146 100 80 74 34 479
Jin Guo United States 18 183 0.8× 341 2.3× 70 0.7× 64 0.8× 67 0.9× 40 817
Cathy Lee Ching United States 2 141 0.6× 249 1.7× 45 0.5× 56 0.7× 43 0.6× 5 525
Ilaria Deambrosis Italy 10 287 1.3× 120 0.8× 35 0.3× 123 1.5× 142 1.9× 16 528
Gui-Mei Chen China 15 151 0.7× 282 1.9× 54 0.5× 79 1.0× 126 1.7× 26 580
Yalan Bi China 16 163 0.7× 48 0.3× 85 0.8× 221 2.8× 80 1.1× 51 718
Hidetaka Niizuma Japan 12 136 0.6× 82 0.6× 32 0.3× 68 0.8× 43 0.6× 34 368
Kazuaki Yokoyama Japan 11 140 0.6× 52 0.4× 52 0.5× 62 0.8× 132 1.8× 54 411
Sahoko Morinobu Japan 7 132 0.6× 129 0.9× 69 0.7× 52 0.7× 22 0.3× 10 475
Luca Járomi Hungary 14 236 1.1× 202 1.4× 83 0.8× 144 1.8× 72 1.0× 33 722
Fengxia He China 11 148 0.7× 128 0.9× 27 0.3× 53 0.7× 68 0.9× 19 346

Countries citing papers authored by Lianqun Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Lianqun Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianqun Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Lianqun Qiu. A scholar is included among the top collaborators of Lianqun Qiu 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 Lianqun Qiu. Lianqun Qiu 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.
Oak, Jean, Pedro Horna, Jonathan R. Fromm, et al.. (2025). A practical approach to panel design, validation, and interpretation for the evaluation of T ‐cell neoplasms by flow cytometry. Cytometry Part B Clinical Cytometry. 108(6). 430–447.
2.
3.
Kim, Do H., L. Jeffrey Medeiros, Jie Xu, et al.. (2025). Diffuse Large B-Cell Lymphoma/High-Grade B-Cell Lymphoma With MYC and BCL6 Rearrangements: A Study of 60 Cases. Modern Pathology. 38(5). 100710–100710. 2 indexed citations
4.
Qiu, Lianqun, L. Jeffrey Medeiros, & Shaoying Li. (2024). High-grade B-cell lymphomas: Double hit and non-double hit. Human Pathology. 156. 105700–105700.
5.
Qiu, Lianqun & Pei Lin. (2024). Lymphoplasmacytic lymphoma and Waldenström macroglobulinemia, a decade after the discovery of MYD88L265P. Human Pathology. 156. 105708–105708.
6.
Qiu, Lianqun, L. Jeffrey Medeiros, Beenu Thakral, et al.. (2022). Lymphoplasmacytic lymphoma with IgG or IgA paraprotein: a study of 29 cases including cases that can mimic plasma cell neoplasms. Human Pathology. 130. 47–57. 7 indexed citations
7.
Qiu, Lianqun, Guilin Tang, Shaoying Li, et al.. (2022). <i>DUSP22</i> rearrangement is associated with a distinctive immunophenotype but not outcome in patients with systemic ALK-negative anaplastic large cell lymphoma. Haematologica. 108(6). 1604–1615. 23 indexed citations
8.
Li, Shaoying, Lianqun Qiu, Jie Xu, et al.. (2022). High-grade B-cell lymphoma (HGBL)-NOS is clinicopathologically and genetically more similar to DLBCL/HGBL-DH than DLBCL. Leukemia. 37(2). 422–432. 10 indexed citations
9.
10.
Qiu, Lianqun, L. Jeffrey Medeiros, Guilin Tang, et al.. (2021). The Leukemic Phase of ALK-Negative Anaplastic Large Cell Lymphoma Is Associated with CD7 Positivity, Complex Karyotype, TP53 Deletion, and a Poor Prognosis. Cancers. 13(24). 6316–6316. 5 indexed citations
11.
Qiu, Lianqun, Jie Xu, Guilin Tang, et al.. (2021). Mantle cell lymphoma with chronic lymphocytic leukemia-like features: a diagnostic mimic and pitfall. Human Pathology. 119. 59–68. 2 indexed citations
12.
Qiu, Lianqun, Guilin Tang, Shaoying Li, et al.. (2021). Blast phase of chronic myeloid leukemia presenting as early T‐cell precursor lymphoblastic leukemia. SHILAP Revista de lepidopterología. 2(4). 895–896. 3 indexed citations
13.
Lai, Wi S., Deborah J. Stumpo, Lianqun Qiu, Roberta Faccio, & Perry J. Blackshear. (2017). A Knock-In Tristetraprolin (TTP) Zinc Finger Point Mutation in Mice: Comparison with Complete TTP Deficiency. Molecular and Cellular Biology. 38(4). 14 indexed citations
14.
Qiu, Lianqun, Wi S. Lai, Deborah J. Stumpo, & Perry J. Blackshear. (2016). Mouse Embryonic Fibroblast Cell Culture and Stimulation. BIO-PROTOCOL. 6(13). 47 indexed citations
15.
Qiu, Lianqun, et al.. (2015). Tristetraprolin (TTP) coordinately regulates primary and secondary cellular responses to proinflammatory stimuli. Journal of Leukocyte Biology. 97(4). 723–736. 36 indexed citations
16.
Qiu, Lianqun, et al.. (2014). Global Analysis of Posttranscriptional Gene Expression in Response to Sodium Arsenite. Environmental Health Perspectives. 123(4). 324–330. 9 indexed citations
17.
Qiu, Lianqun, Raja Sinniah, & Stephen I‐Hong Hsu. (2004). Downregulation of Bcl-2 by Podocytes Is Associated with Progressive Glomerular Injury and Clinical Indices of Poor Renal Prognosis in Human IgA Nephropathy. Journal of the American Society of Nephrology. 15(1). 79–90. 40 indexed citations
18.
Qiu, Lianqun, Raja Sinniah, & S Hsu. (2004). Role of differential and cell type-specific expression of cell cycle regulatory proteins in mediating progressive glomerular injury in human IgA nephropathy. Laboratory Investigation. 84(9). 1112–1125. 22 indexed citations
19.
Qiu, Lianqun, Raja Sinniah, & Stephen I‐Hong Hsu. (2004). Coupled Induction of iNOS and p53 Upregulation in Renal Resident Cells May Be Linked with Apoptotic Activity in the Pathogenesis of Progressive IgA Nephropathy. Journal of the American Society of Nephrology. 15(8). 2066–2078. 27 indexed citations
20.
Liang, Mingyu, et al.. (1998). Oxidized low-density lipoprotein decreases the induced nitric oxide synthesis in rat mesangial cells. Cell Biochemistry and Function. 16(3). 153–158. 9 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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