Xiao‐Dong Mo

4.9k total citations
253 papers, 2.9k citations indexed

About

Xiao‐Dong Mo is a scholar working on Hematology, Oncology and Immunology. According to data from OpenAlex, Xiao‐Dong Mo has authored 253 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 187 papers in Hematology, 74 papers in Oncology and 63 papers in Immunology. Recurrent topics in Xiao‐Dong Mo's work include Hematopoietic Stem Cell Transplantation (162 papers), Acute Myeloid Leukemia Research (82 papers) and Acute Lymphoblastic Leukemia research (55 papers). Xiao‐Dong Mo is often cited by papers focused on Hematopoietic Stem Cell Transplantation (162 papers), Acute Myeloid Leukemia Research (82 papers) and Acute Lymphoblastic Leukemia research (55 papers). Xiao‐Dong Mo collaborates with scholars based in China, United States and Japan. Xiao‐Dong Mo's co-authors include Xiao‐Jun Huang, Lan‐Ping Xu, Yu Wang, Xiaohui Zhang, Kai‐Yan Liu, Yu‐Hong Chen, Huan Chen, Chen‐Hua Yan, Feng‐Rong Wang and Ying‐Jun Chang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Xiao‐Dong Mo

208 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiao‐Dong Mo China 30 2.3k 840 798 622 343 253 2.9k
Jaime Sanz Spain 27 1.6k 0.7× 460 0.5× 791 1.0× 418 0.7× 356 1.0× 191 2.5k
Chen‐Hua Yan China 28 2.6k 1.1× 898 1.1× 946 1.2× 915 1.5× 322 0.9× 182 3.1k
Hee‐Je Kim South Korea 26 2.0k 0.9× 717 0.9× 736 0.9× 601 1.0× 464 1.4× 271 3.0k
Chang‐Ki Min South Korea 28 2.1k 0.9× 703 0.8× 883 1.1× 513 0.8× 468 1.4× 262 2.9k
Byung‐Sik Cho South Korea 24 1.5k 0.7× 580 0.7× 560 0.7× 459 0.7× 353 1.0× 189 2.3k
Kazuhiro Ikegame Japan 27 1.4k 0.6× 715 0.9× 876 1.1× 413 0.7× 234 0.7× 154 2.7k
Alida Dominietto Italy 26 1.9k 0.8× 685 0.8× 797 1.0× 370 0.6× 379 1.1× 77 2.4k
Kazuteru Ohashi Japan 27 1.4k 0.6× 439 0.5× 448 0.6× 444 0.7× 227 0.7× 130 2.1k
Sergio Giralt United States 21 3.0k 1.3× 719 0.9× 799 1.0× 1.0k 1.7× 601 1.8× 40 3.6k
Kyoo‐Hyung Lee South Korea 29 1.6k 0.7× 498 0.6× 733 0.9× 433 0.7× 416 1.2× 168 2.6k

Countries citing papers authored by Xiao‐Dong Mo

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Dong Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao‐Dong Mo. 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 Xiao‐Dong Mo. The network helps show where Xiao‐Dong Mo may publish in the future.

Co-authorship network of co-authors of Xiao‐Dong Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao‐Dong Mo. A scholar is included among the top collaborators of Xiao‐Dong Mo 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 Xiao‐Dong Mo. Xiao‐Dong Mo 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, Jia, Dan Yang, Yafei Zeng, et al.. (2025). Impact of subclinically hypocalcemic stress on the plasma metabolomic profile of dairy goats. Animal Bioscience. 38(5). 981–992.
2.
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Ren, Juan, Jiangtao Li, Xiaodan Liu, et al.. (2025). Tandem Versus Single Autologous Stem Cell Transplantation for High‐Risk Multiple Myeloma in the Era of Novel Agents: A Real‐World Study of China. Cancer Medicine. 14(1). e70573–e70573. 1 indexed citations
4.
Zhao, Chen, M. Xiao, Feng Zhang, et al.. (2025). Outcomes and prognostic factors associated with relapse after haploidentical stem cell transplantation for paediatric T‐cell acute lymphoblastic leukaemia. British Journal of Haematology. 206(4). 1165–1172.
5.
Li, Yuan, Caili Zhang, Xiao‐Dong Mo, et al.. (2025). Artificial Liver Support System Improves One‐Year Prognosis of Patients With Hepatitis B Virus‐Associated Acute‐on‐Chronic Liver Failure. Journal of Gastroenterology and Hepatology. 40(4). 940–948. 1 indexed citations
6.
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Pei, Xuying, Qiang Huang, Yuqian Sun, et al.. (2024). Letermovir prophylaxis for cytomegalovirus is associated with risk of post-transplant lymphoproliferative disorders after haploidentical stem cell transplantation. Haematologica. 110(4). 1005–1009. 4 indexed citations
8.
Guo, Huidong, Liping Guo, Bixia Wang, et al.. (2024). Distinct Immune Homeostasis Remodeling Patterns after HLA‐Matched and Haploidentical Transplantation. Advanced Science. 11(39). e2400544–e2400544. 9 indexed citations
9.
Liu, Xiaodan, et al.. (2024). Vedolizumab provides a new hope of acute graft-versus-host disease prophylaxis through immune regulation. 2(3). 100083–100083. 3 indexed citations
10.
Pei, Xuying, et al.. (2024). Targeting early EBV-driven IDO1-NAD metabolism as a potential therapeutic strategy for EBV-related diseases. 2(3). 100084–100084. 2 indexed citations
11.
Zhou, Jianying, Xiaolu Zhu, Yun He, et al.. (2024). A prognostic score system in adult T‐cell acute lymphoblastic leukemia after hematopoietic stem cell transplantation. Bone Marrow Transplantation. 59(4). 496–504. 2 indexed citations
12.
Dou, Liping, Yanmin Zhao, Xiaohui Zhang, et al.. (2023). Preemptive interferon-α therapy could prevent relapse of acute myeloid leukemia following allogeneic hematopoietic stem cell transplantation: A real-world analysis. Frontiers in Immunology. 14. 1091014–1091014. 11 indexed citations
13.
Zhang, Xiaohui, Lan‐Ping Xu, Yu Wang, et al.. (2023). Basiliximab is the potential solution for severe liver chronic GVHD: A prospective pilot study. 1(1). 100009–100009. 8 indexed citations
14.
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Fu, Hai‐Xia, Meng Lv, Huixin Liu, et al.. (2023). Thrombopoietin level predicts the response to avatrombopag treatment for persistent thrombocytopenia after haploidentical haematopoietic stem cell transplantation. Bone Marrow Transplantation. 58(12). 1368–1376. 1 indexed citations
16.
Yan, Chen‐Hua, Yu Wang, Yuqian Sun, et al.. (2022). Optimized therapeutic strategy for patients with refractory or relapsed acute myeloid leukemia: long‐term clinical outcomes and health‐related quality of life assessment. Cancer Communications. 42(12). 1387–1402. 11 indexed citations
17.
Wu, Jin, Hai‐Xia Fu, Xiao‐Dong Mo, et al.. (2021). Risk factors and outcomes of diffuse alveolar haemorrhage after allogeneic haematopoietic stem cell transplantation. Bone Marrow Transplantation. 56(9). 2097–2107. 10 indexed citations
18.
19.
Mo, Xiao‐Dong, Xiaohui Zhang, Lan‐Ping Xu, et al.. (2015). Interferon-α: A Potentially Effective Treatment for Minimal Residual Disease in Acute Leukemia/Myelodysplastic Syndrome after Allogeneic Hematopoietic Stem Cell Transplantation. Biology of Blood and Marrow Transplantation. 21(11). 1939–1947. 46 indexed citations
20.
Mo, Xiao‐Dong, Gang Li, Xuefeng Zhang, et al.. (2014). Clinical significance of serum high sensitive C-reactive protein in patients undergone prostate biopsy. Zhonghua miniao waike zazhi. 35(6). 461–464. 1 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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