Jia-Hua Ding

426 total citations
34 papers, 274 citations indexed

About

Jia-Hua Ding is a scholar working on Hematology, Genetics and Oncology. According to data from OpenAlex, Jia-Hua Ding has authored 34 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Hematology, 9 papers in Genetics and 8 papers in Oncology. Recurrent topics in Jia-Hua Ding's work include Hematopoietic Stem Cell Transplantation (13 papers), Acute Myeloid Leukemia Research (6 papers) and Mesenchymal stem cell research (4 papers). Jia-Hua Ding is often cited by papers focused on Hematopoietic Stem Cell Transplantation (13 papers), Acute Myeloid Leukemia Research (6 papers) and Mesenchymal stem cell research (4 papers). Jia-Hua Ding collaborates with scholars based in China, United Kingdom and Canada. Jia-Hua Ding's co-authors include Baoan Chen, Zhengping Yu, Gang Zhao, Guohua Xia, Hanqi Zhang, Ying Mu, Xuexun Fang, Daqian Song, Weizhong Wang and Xia Liu and has published in prestigious journals such as Blood, PLoS ONE and Analytical Biochemistry.

In The Last Decade

Jia-Hua Ding

29 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jia-Hua Ding China 9 102 83 68 41 40 34 274
Namrata G. Jain United States 10 84 0.8× 19 0.2× 72 1.1× 17 0.4× 25 0.6× 30 305
Huifen Zhang China 8 91 0.9× 32 0.4× 46 0.7× 59 1.4× 21 0.5× 14 347
Etsuko Kitano Japan 11 113 1.1× 83 1.0× 50 0.7× 11 0.3× 33 0.8× 44 438
Tatsuyuki Hayashi Japan 10 91 0.9× 196 2.4× 110 1.6× 155 3.8× 187 4.7× 16 516
Jianhu Li China 11 134 1.3× 39 0.5× 58 0.9× 36 0.9× 17 0.4× 23 322
Jordan E. Read United Kingdom 11 102 1.0× 42 0.5× 20 0.3× 41 1.0× 29 0.7× 18 428
M. Graham United States 4 118 1.2× 80 1.0× 30 0.4× 40 1.0× 65 1.6× 7 311
Jinghong Chen China 12 128 1.3× 36 0.4× 35 0.5× 58 1.4× 38 0.9× 27 313
Sara M. Radwan Egypt 11 72 0.7× 42 0.5× 37 0.5× 55 1.3× 12 0.3× 27 262
Junjie Fang China 8 174 1.7× 81 1.0× 114 1.7× 90 2.2× 52 1.3× 16 468

Countries citing papers authored by Jia-Hua Ding

Since Specialization
Citations

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

Fields of papers citing papers by Jia-Hua Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jia-Hua Ding. 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 Jia-Hua Ding. The network helps show where Jia-Hua Ding may publish in the future.

Co-authorship network of co-authors of Jia-Hua Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Jia-Hua Ding. A scholar is included among the top collaborators of Jia-Hua Ding 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 Jia-Hua Ding. Jia-Hua Ding 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.
Xu, Zhipeng, Jia-Hua Ding, Qi Meng, et al.. (2025). Gut-on-a-Chip-Based Real-Time miRNA-21 Monitoring and Anti-Inflammatory Drug Evaluation. ACS Sensors. 10(11). 8297–8307.
2.
Zhang, Lei, Feng Zhang, Jia-Hua Ding, et al.. (2025). High-Throughput Cardiomyocytes Biosensing: From Single-Parameter Detection to Integrated Mechano-Electrophysiological Platforms. ACS Applied Electronic Materials. 7(2). 622–642. 1 indexed citations
3.
Ding, Jia-Hua, Hao Chen, Chaoyang Shi, et al.. (2024). Gut‐on‐a‐Chip Reveals Enhanced Peristalsis Reduces Nanoplastic‐Induced Inflammation. Small. 21(3). e2408208–e2408208. 2 indexed citations
4.
Tang, Wei, et al.. (2024). Revealing transport, uptake and damage of polystyrene microplastics using a gut-liver-on-a-chip. Lab on a Chip. 25(7). 1656–1668. 6 indexed citations
5.
6.
Li, Feng, Weiying Gu, Xiaohua Wang, et al.. (2019). A randomized phase II, open-label and multicenter study of combination regimens of bortezomib at two doses by subcutaneous injection for newly diagnosed multiple myeloma patients. Journal of Cancer Research and Clinical Oncology. 145(9). 2343–2355. 4 indexed citations
7.
Yu, Zhengping, Jia-Hua Ding, Aining Sun, et al.. (2019). A New Conditioning Regimen Can Significantly Promote Post-Transplant Immune Reconstitution and Improve the Outcome of Umbilical Cord Blood Transplantation for Patients. Stem Cells and Development. 28(20). 1376–1383. 3 indexed citations
8.
Yu, Zhengping, et al.. (2017). A Randomized Study Comparing Stem Cell Transplantation Versus Conventional Therapy for Low- and Intermediate-Risk Myelodysplastic Syndromes Patients. Stem Cells and Development. 26(15). 1132–1139. 6 indexed citations
9.
10.
Ding, Jia-Hua, Linlin Wang, Zhi Chen, et al.. (2013). The role of Tα1 on the infective patients after hematopoietic stem cell transplantation. International Journal of Hematology. 97(2). 280–283. 11 indexed citations
11.
12.
Xu, Peipei, Baoan Chen, Jifeng Feng, et al.. (2012). Polymorphisms in XPC provide prognostic information in acute myeloid leukemia. International Journal of Hematology. 96(4). 450–460. 11 indexed citations
13.
Zhong, Yuan, et al.. (2012). Signal transducer and activator of transcription 3 (STAT3) gene polymorphisms are associated with treatment outcomes in acute myeloid leukemia. International Journal of Laboratory Hematology. 34(4). 383–389. 7 indexed citations
14.
Yu, Zhengping, Jia-Hua Ding, Fen Wu, et al.. (2011). Quality of Life of Patients after Allogeneic Hematopoietic Stem Cell Transplantation with Antihuman Thymocyte Globulin. Biology of Blood and Marrow Transplantation. 18(4). 593–599. 17 indexed citations
15.
Zhong, Yuejiao, Jian Wu, Baoan Chen, et al.. (2011). Investigation and analysis of single nucleotide polymorphisms in Janus kinase/signal transducer and activator of transcription genes with leukemia. Leukemia & lymphoma. 53(6). 1216–1221. 8 indexed citations
16.
Zhong, Yuan, et al.. (2011). Association of Janus kinase 2 (JAK2) polymorphisms with acute leukemia susceptibility. International Journal of Laboratory Hematology. 34(3). 248–253. 11 indexed citations
17.
Zhong, Yuejiao, Baoan Chen, Jifeng Feng, et al.. (2010). The associations of Janus kinase-2 (JAK2) A830G polymorphism and the treatment outcomes in patients with acute myeloid leukemia. Leukemia & lymphoma. 51(6). 1115–1120. 11 indexed citations
18.
Liu, Hong, Jia-Hua Ding, Bi‐Cheng Liu, Gang Zhao, & Baoan Chen. (2007). Early Renal Injury after Nonmyeloablative Allogeneic Peripheral Blood Stem Cell Transplantation in Patients with Chronic Myelocytic Leukemia. American Journal of Nephrology. 27(4). 336–341. 15 indexed citations
19.
Wei, Jingyan, Ying Mu, Daqian Song, et al.. (2003). A novel sandwich immunosensing method for measuring cardiac troponin I in sera. Analytical Biochemistry. 321(2). 209–216. 67 indexed citations
20.
Yu, Yang, et al.. (2000). Is Resynchronization Between Left and Right Ventricles Responsible for Improving Hemodynamic Function of Heart Failure Patients with LBBB?. European Journal of Heart Failure. 2(S1). 107–107. 3 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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