Hua‐Jie Dong

591 citations
21 papers · 475 indexed · h-index 11
Topics
Chronic Lymphocytic Leukemia Research (13 papers)Lymphoma Diagnosis and Treatment (7 papers)Cancer-related Molecular Pathways (6 papers)
Partner nations
ChinaUnited States

In The Last Decade

Hua‐Jie Dong

21 papers receiving 471 citations

Peers

Hua‐Jie Dong
Comparison fields: 5 of 54
  • Molecular Biology 203
  • Cancer Research 139
  • Pathology and Forensic Medicine 129
  • Oncology 129
  • Hepatology 91
Replace Shozo Mori with:
Shozo Mori Japan
Honghui Huang China
Olugbenga Olowokure United States
Christoph Heining Germany
Andrei Cucuianu Romania
C. I. Amos United States
Pamela Biondani Italy
Hong Cen China
Emmy Ludwig United States
Karen Giselle Chee United States
Hua‐Jie Dong relative to Shozo Mori Japan Shozo Mori's profile →
Citations per field
00.5×1.5×2.4×
Shozo Mori · 1×
Citations per year

Countries citing papers authored by Hua‐Jie Dong

Since Specialization
Citations

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

Fields of papers citing papers by Hua‐Jie Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua‐Jie Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Hua‐Jie Dong. A scholar is included among the top collaborators of Hua‐Jie Dong 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 Hua‐Jie Dong. Hua‐Jie Dong 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
#WorkIndexed citations
1 9
2 43
3
Lenalidomide alone or in combination with chemotherapy treatment for subtypes of diffuse large B cell lymphoma: a systematic review and meta-analysis.
16
4 8
5 8
6 84
7 11
8 12
9 23
10 144
11 9
12 19
13 1
14
[mRNA levels detected by real-time quantitative RT-PCR in chronic lymphocytic leukemia and their clinical significance].
1
15 32
16 8
17 31
18 1
19
[Bag3 gene expression in chronic lymphocytic leukemia and its association with patients' prognosis].
11
20
[Detection of puma mRNA levels by real-time quantitative RT-PCR in chronic lymphocytic leukemia and its clinical significance].
2

About Hua‐Jie Dong

Hua‐Jie Dong is a scholar working on Genetics, Oncology and Pathology and Forensic Medicine, having authored 21 papers that have together received 475 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (13 papers), Lymphoma Diagnosis and Treatment (7 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Hepatology (91 citations), Cancer Research (139 citations) and Genetics (89 citations). Hua‐Jie Dong has collaborated with scholars based in China and United States. Frequent co-authors include Danxia Zhu, Wei Xu, Kourong Miao, Jianyong Li, Lei Fan, Yinhua Wang, Peng Liu, Yang Ling, Cheng Fang and Ling Liu. Their work appears in journals such as Journal of Clinical Oncology, Blood and International Journal of Cancer.

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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