Ping Qin

1.2k total citations
45 papers, 832 citations indexed

About

Ping Qin is a scholar working on Hematology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ping Qin has authored 45 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Hematology, 13 papers in Immunology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ping Qin's work include Platelet Disorders and Treatments (31 papers), Blood groups and transfusion (17 papers) and Chronic Lymphocytic Leukemia Research (7 papers). Ping Qin is often cited by papers focused on Platelet Disorders and Treatments (31 papers), Blood groups and transfusion (17 papers) and Chronic Lymphocytic Leukemia Research (7 papers). Ping Qin collaborates with scholars based in China, Canada and Thailand. Ping Qin's co-authors include Ming Hou, Jun Peng, Yan Shi, Chengshan Guo, Xiaojuan Zhu, Xuebin Ji, Ning‐ning Shan, Jianzhi Sun, Hai Zhou and Xinguang Liu and has published in prestigious journals such as Blood, British Journal of Haematology and Thrombosis Research.

In The Last Decade

Ping Qin

43 papers receiving 817 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Qin China 17 648 216 168 144 85 45 832
Xuebin Ji China 11 436 0.7× 141 0.7× 126 0.8× 97 0.7× 41 0.5× 20 584
José María Bastida Spain 15 451 0.7× 53 0.2× 115 0.7× 158 1.1× 70 0.8× 56 677
Kimio Morita Japan 14 421 0.6× 90 0.4× 115 0.7× 191 1.3× 45 0.5× 24 654
Mutsumasa Yanabu Japan 16 456 0.7× 54 0.3× 138 0.8× 38 0.3× 86 1.0× 41 657
Nora P. Goette Argentina 14 334 0.5× 38 0.2× 62 0.4× 194 1.3× 65 0.8× 30 485
Chul‐Soo Cho South Korea 12 154 0.2× 53 0.2× 227 1.4× 40 0.3× 48 0.6× 19 602
A. Brizard France 17 446 0.7× 138 0.6× 126 0.8× 250 1.7× 60 0.7× 52 1.0k
Raúl Teruel‐Montoya Spain 15 268 0.4× 24 0.1× 93 0.6× 116 0.8× 47 0.6× 36 627
Chu‐Myong Seong South Korea 14 245 0.4× 33 0.2× 135 0.8× 127 0.9× 103 1.2× 35 691
I Marschitz Austria 12 101 0.2× 77 0.4× 250 1.5× 110 0.8× 38 0.4× 17 616

Countries citing papers authored by Ping Qin

Since Specialization
Citations

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

Fields of papers citing papers by Ping Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Qin. A scholar is included among the top collaborators of Ping Qin 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 Ping Qin. Ping Qin 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.
2.
An, Peng, et al.. (2023). Prognostic Predicting Model of Pancreatic Body Tail Carcinoma Using Clinical and CT Radiomic Data. Technology in Cancer Research & Treatment. 22. 2223928627–2223928627. 1 indexed citations
3.
An, Peng, et al.. (2023). Predicting Model of Biochemical Recurrence of Prostate Carcinoma (PCa-BCR) Using MR Perfusion-Weighted Imaging-Based Radiomics. Technology in Cancer Research & Treatment. 22. 2223908654–2223908654. 7 indexed citations
4.
5.
An, Peng, et al.. (2023). Predicting model of mild and severe types of COVID-19 patients using Thymus CT radiomics model: A preliminary study. Mathematical Biosciences & Engineering. 20(4). 6612–6629. 3 indexed citations
6.
An, Peng, et al.. (2022). Contrast-Enhanced Ultrasound-Magnetic Resonance Imaging Radiomics Based Model for Predicting the Biochemical Recurrence of Prostate Cancer: A Feasibility Study. Computational and Mathematical Methods in Medicine. 2022. 1–11. 6 indexed citations
7.
An, Peng, et al.. (2022). Clinical Data-CT Radiomics-Based Model for Predicting Prognosis of Patients with Gastrointestinal Pancreatic Neuroendocrine Neoplasms (GP-NENs). Computational and Mathematical Methods in Medicine. 2022. 1–9. 5 indexed citations
8.
9.
Jing, Fangmiao, Xiaolin Zhang, Fanli Meng, et al.. (2018). Anti-c-Mpl antibodies in immune thrombocytopenia suppress thrombopoiesis and decrease response to rhTPO. Thrombosis Research. 170. 200–206. 14 indexed citations
10.
Qin, Ping, Shan Xiao, Hai Zhou, et al.. (2017). A novel recombinant human thrombopoietin therapy for the management of immune thrombocytopenia in pregnancy. Blood. 130(9). 1097–1103. 75 indexed citations
11.
Zhang, Xiaolin, Ji Ma, Miao Xu, et al.. (2014). Imbalance between CD205 and CD80/CD86 in dendritic cells in patients with immune thrombocytopenia. Thrombosis Research. 135(2). 352–361. 10 indexed citations
12.
Xu, Shuqian, Chunyan Wang, Xiaojuan Zhu, et al.. (2012). Decreased indoleamine 2,3-dioxygenase expression in dendritic cells and role of indoleamine 2,3-dioxygenase-expressing dendritic cells in immune thrombocytopenia. Annals of Hematology. 91(10). 1623–1631. 16 indexed citations
13.
Liu, Xinguang, Juan Ren, Yuan Yu, et al.. (2011). Decreased expression of interleukin‐27 in immune thrombocytopenia. British Journal of Haematology. 153(2). 259–267. 23 indexed citations
14.
Liu, Xinguang, Jinlin Li, Ping Qin, et al.. (2011). Determination of platelet-bound glycoprotein-specific autoantibodies by flow cytometric immunobead assay in primary immune thrombocytopenia. European Journal Of Haematology. 86(4). 339–346. 5 indexed citations
15.
Wang, Chunyan, Yan Shi, Yanan Min, et al.. (2011). Decreased IDO Activity and Increased TTS Expression Break Immune Tolerance in Patients with Immune Thrombocytopenia. Journal of Clinical Immunology. 31(4). 643–649. 19 indexed citations
16.
Zhu, Xiaojuan, Yan Shi, Jianzhi Sun, et al.. (2009). High-Dose Dexamethasone Inhibits BAFF Expression in Patients with Immune Thrombocytopenia. Journal of Clinical Immunology. 29(5). 603–610. 27 indexed citations
17.
Shan, Ning‐ning, Xiaojuan Zhu, Qun Wang, et al.. (2009). High-dose dexamethasone regulates interleukin-18 and interleukin-18 binding protein in idiopathic thrombocytopenic purpura. Haematologica. 94(11). 1603–1607. 32 indexed citations
18.
Zhu, Xiaojuan, Yan Shi, Jun Peng, et al.. (2009). The effects of BAFF and BAFF-R-Fc fusion protein in immune thrombocytopenia. Blood. 114(26). 5362–5367. 78 indexed citations
19.
Shan, Ning‐ning, Xiaojuan Zhu, Jun Peng, et al.. (2008). Interleukin 18 and interleukin 18 binding protein in patients with idiopathic thrombocytopenic purpura. British Journal of Haematology. 144(5). 755–761. 38 indexed citations
20.
Hou, Ming, Jun Peng, Yan Shi, et al.. (2003). Mycophenolate mofetil (MMF) for the treatment of steroid‐resistant idiopathic thrombocytopenic purpura. European Journal Of Haematology. 70(6). 353–357. 113 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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