Jia-Hua Ding

426 citations
34 papers · 274 · h-index 9

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Renal Transplantation Outcomes and Treatments

Papers in

    • Hematopoietic Stem Cell Transplantation 13
    • Acute Myeloid Leukemia Research 6
    • Chronic Myeloid Leukemia Treatments 3
    • Mesenchymal stem cell research 4
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 4

Jia-Hua Ding

29 papers receiving 265 citations

Peers

Jia-Hua Ding
Comparison fields: 5 of 68
  • Hematology 83
  • Transplantation 17
  • Genetics 33
  • Biomaterials 40
  • Bioengineering 12
Replace C. Saw with:
C. Saw Canada
Huifen Zhang China
Etsuko Kitano Japan
Namrata G. Jain United States
Elaissa T. Hardy United States
M.P. Carreno France
Gyeong Won Lee South Korea
Masayuki Nogawa Japan
A. Huynh France
Tatsuyuki Hayashi Japan
Jia-Hua Ding relative to C. Saw Canada C. Saw's profile →
Citations per field
00.5×3.2×
C. Saw · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jia-Hua Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jia-Hua Ding Line = papers co-authored together Jia-Hua Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200367
2 201057
3 201117
4 201016
5 200715
6 201211
7 201311
8 201011
9 201111
10 20118
11 20127
12 20176
13 20246
14 20194
15 20193
16 20193
17 20003
18 20133
19 20242
20 20142

About Jia-Hua Ding

Jia-Hua Ding is a scholar working on Hematology, Genetics, Oncology, Molecular Biology and Epidemiology, having authored 34 papers that have together received 274 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (13 papers), Acute Myeloid Leukemia Research (6 papers), Mesenchymal stem cell research (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Neuroscience and Neural Engineering (3 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Polyomavirus and related diseases (3 papers). The work is most often cited by research in Hematology (83 citations), Transplantation (17 citations), Genetics (33 citations), Biomaterials (40 citations) and Bioengineering (12 citations). Jia-Hua Ding has collaborated with scholars based in China, United Kingdom and Saint Kitts and Nevis. Frequent co-authors include Baoan Chen, Zhengping Yu, Gang Zhao, Weizhong Wang, Guohua Xia, Guizhen Zhang, Qinhan Jin, Xuexun Fang, Hanqi Zhang and Jingyan Wei. Their work appears in journals such as Patient Preference and Adherence, Cell Transplantation, Stem Cells and Development, International Journal of Hematology and Blood.

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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