Tiejun Qin

1.3k total citations
88 papers, 599 citations indexed

About

Tiejun Qin is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Tiejun Qin has authored 88 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Hematology, 51 papers in Genetics and 24 papers in Molecular Biology. Recurrent topics in Tiejun Qin's work include Acute Myeloid Leukemia Research (57 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (42 papers) and Eosinophilic Disorders and Syndromes (16 papers). Tiejun Qin is often cited by papers focused on Acute Myeloid Leukemia Research (57 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (42 papers) and Eosinophilic Disorders and Syndromes (16 papers). Tiejun Qin collaborates with scholars based in China, United Kingdom and United States. Tiejun Qin's co-authors include Zefeng Xu, Robert Peter Gale, Lijuan Pan, Shiqiang Qu, Zhijian Xiao, Yue Zhang, Zhijian Xiao, Naibo Hu, Liwei Fang and Bing Li and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Tiejun Qin

76 papers receiving 590 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tiejun Qin China	15	471	323	232	91	60	88	599
Shiqiang Qu China	12	295 0.6×	211 0.7×	116 0.5×	71 0.8×	28 0.5×	45	365
Ayalew Tefferi United States	10	404 0.9×	455 1.4×	187 0.8×	162 1.8×	51 0.8×	12	585
Ilaria Ambaglio Italy	8	750 1.6×	507 1.6×	164 0.7×	24 0.3×	55 0.9×	15	798
Jo-Anne Vergilio United States	7	198 0.4×	166 0.5×	147 0.6×	35 0.4×	64 1.1×	8	457
Giuliana Alimena Italy	13	261 0.6×	226 0.7×	111 0.5×	99 1.1×	44 0.7×	47	429
Xiaosha Zhang United States	10	359 0.8×	288 0.9×	138 0.6×	17 0.2×	43 0.7×	22	481
Arjan van de Loosdrecht Netherlands	9	547 1.2×	252 0.8×	123 0.5×	22 0.2×	78 1.3×	22	643
Christiane Schumann Germany	8	476 1.0×	256 0.8×	214 0.9×	15 0.2×	40 0.7×	11	590
A. Kuendgen Germany	10	572 1.2×	296 0.9×	232 1.0×	14 0.2×	59 1.0×	22	690
M. T. Daniel France	7	385 0.8×	240 0.7×	129 0.6×	67 0.7×	62 1.0×	10	494

Countries citing papers authored by Tiejun Qin

Since Specialization

Citations

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

Fields of papers citing papers by Tiejun Qin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiejun Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Tiejun Qin. A scholar is included among the top collaborators of Tiejun 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 Tiejun Qin. Tiejun Qin 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

Liu, Jinqin, Sophia Zhao, Tiejun Qin, et al.. (2025). The role of CD38 in monocytes during fibrotic progression of myeloproliferative neoplasms. Blood. 147(9). 946–959.

Zhang, Peiwen, Na You, Nan Wang, et al.. (2024). Gadd45g insufficiency drives the pathogenesis of myeloproliferative neoplasms. Nature Communications. 15(1). 2989–2989. 3 indexed citations

Liu, Jinqin, Yingying Zhao, Peihong Zhang, et al.. (2023). ASXL1 mutations accelerate bone marrow fibrosis via EGR1-TNFA axis-mediated neoplastic fibrocyte generation in myeloproliferative neoplasms.. PubMed. 108(5). 1359–1373. 4 indexed citations

Zhang, Wenjun, Jinqin Liu, Lin Yang, et al.. (2023). U2AF1 S34F Mutation Promote Megakaryopoiesis and Fibrogenesis in MDS. Blood. 142(Supplement 1). 5685–5685.

Zhang, Yudi, Tiejun Qin, Zefeng Xu, et al.. (2022). Comparison of the revised 4th (2016) and 5th (2022) editions of the World Health Organization classification of myelodysplastic neoplasms. Leukemia. 36(12). 2875–2882. 23 indexed citations

Zhang, Yudi, Tiejun Qin, Zefeng Xu, et al.. (2022). IPSS-M has greater survival predictive accuracy compared with IPSS-R in persons ≥ 60 years with myelodysplastic syndromes. Experimental Hematology and Oncology. 11(1). 73–73. 22 indexed citations

Qin, Tiejun, Zefeng Xu, Huijun Huang, et al.. (2020). [Mean corpuscular volume ≤100 fl was an independent prognostic factor in patients with myelodysplastic syndrome and bone marrow blast<5 percent].. PubMed Central. 41(1). 28–33. 1 indexed citations

Qin, Tiejun, et al.. (2019). The classification and advances of bioactive peptides. 14(2). 149–152. 1 indexed citations

Li, Bing, Jinqin Liu, Yujiao Jia, et al.. (2017). Clinical Features and Biological Implications of U2AF1 Mutations in Myelodysplastic Syndromes. Blood. 130. 586–586. 2 indexed citations

10.

Cui, Yajuan, Hongyan Tong, Xin Du, et al.. (2016). TET2 mutations were predictive of inferior prognosis in the presence of ASXL1 mutations in patients with chronic myelomonocytic leukemia. PubMed. 3. 50–50. 9 indexed citations

11.

Cui, Yajuan, Hongyan Tong, Xin Du, et al.. (2015). Impact of TET2, SRSF2, ASXL1 and SETBP1 mutations on survival of patients with chronic myelomonocytic leukemia. Experimental Hematology and Oncology. 4(1). 14–14. 29 indexed citations

12.

Gale, Robert Peter, Wen Cui, Gang Huang, et al.. (2015). A systematic classification of megakaryocytic dysplasia and its impact on prognosis for patients with myelodysplastic syndromes. Experimental Hematology and Oncology. 5(1). 12–12. 18 indexed citations

13.

Wang, Jingya, Robert Peter Gale, Zefeng Xu, et al.. (2014). Prognostic impact of splenomegaly on survival of Chinese with primary myelofibrosis. Leukemia Research. 38(10). 1207–1211. 6 indexed citations

14.

Cui, Rui, Robert Peter Gale, Zefeng Xu, et al.. (2014). Serum iron metabolism and erythropoiesis in patients with myelodysplastic syndrome not receiving RBC transfusions. Leukemia Research. 38(5). 545–550. 40 indexed citations

15.

Xu, Zefeng, Robert Peter Gale, Yue Zhang, et al.. (2012). Unique features of primary myelofibrosis in Chinese. Blood. 119(11). 2469–2473. 22 indexed citations

16.

Qu, Shiqiang, et al.. (2011). Impacts of cytogenetic categories in the Revised International Prognostic Scoring System on the prognosis of primary myelodysplastic syndromes: results of a single-center study. Leukemia & lymphoma. 53(5). 940–946. 14 indexed citations

17.

Li, Lin, Lin Yang, Yue Zhang, et al.. (2010). Detoxification and DNA repair genes polymorphisms and susceptibility of primary myelodysplastic syndromes in Chinese population. Leukemia Research. 35(6). 762–765. 6 indexed citations

18.

Li, Lin, et al.. (2009). [Study on karyotypic abnormalities and its prognostic significance in Chinese patients with primary myelodysplastic syndromes].. PubMed. 30(4). 217–22. 4 indexed citations

19.

Li, Lin, et al.. (2009). Unique cytogenetic features of primary myelodysplastic syndromes in Chinese patients. Leukemia Research. 33(9). 1194–1198. 21 indexed citations

20.

Xiao, Zhijian, Yushu Hao, Tiejun Qin, & Zhongchao Han. (2002). Periodic oscillation of blood leukocytes, platelets, and hemoglobin in a patient with chronic eosinophilic leukemia. Leukemia Research. 27(1). 89–91. 7 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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