Hua Dong

1.2k total citations
28 papers, 691 citations indexed

About

Hua Dong is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Hua Dong has authored 28 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Genetics. Recurrent topics in Hua Dong's work include Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Chronic Myeloid Leukemia Treatments (4 papers) and CAR-T cell therapy research (3 papers). Hua Dong is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Chronic Myeloid Leukemia Treatments (4 papers) and CAR-T cell therapy research (3 papers). Hua Dong collaborates with scholars based in China, United States and Germany. Hua Dong's co-authors include Srđan Verstovšek, Julia D. Maltzman, Johanna C. Bendell, J. Randolph Hecht, Al B. Benson, Zev A. Wainberg, Fred J. Kudrik, Vikas Gupta, Alessandro M. Vannucchi and Uwe Platzbecker and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Research.

In The Last Decade

Hua Dong

25 papers receiving 685 citations

Peers

Hua Dong
Comparison fields: 5 of 59
  • Molecular Biology 290
  • Genetics 256
  • Hematology 228
  • Oncology 213
  • Immunology 147
Replace Camelia Iancu‐Rubin with:
Camelia Iancu‐Rubin United States
Maria Kleppe United States
Mateusz Koptyra United States
YinWei Ho United States
Hongyu Ni United States
Qingshan Li China
Po Yee Mak United States
Michael A. Damore United States
L. H. Hoefsloot Netherlands
Justin M. Watts United States
Camelia Iancu‐Rubin United States View profile →
Citations per field, relative to Hua Dong
Hua Dong · 1×
Citations per year, relative to Hua Dong
Hua Dong · 1×

Countries citing papers authored by Hua Dong

Since Specialization
Citations

This map shows the geographic impact of Hua 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 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 Dong more than expected).

Fields of papers citing papers by Hua Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Dong. A scholar is included among the top collaborators of Hua 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 Dong. Hua 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
# Work Indexed citations
1 0
2 5
3 1
4 2
5 5
6 21
7 1
8 32
9 11
10 72
11 2
12 2
13 212
14 42
15 0
16 14
17
Association of fibronectin Msp iv polymorphism and diabetic nephropathy susceptibility in Chinese Han population.
1
18 4
19
Novel Rapid Molecular Modeling Method Based on Evolutional Tree for Human Adenovirus Hexon Proteins Family
4
20 17

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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