Hua Chang

2.7k citations
34 papers · 1.8k indexed · 1 hit paper · h-index 15
Topics
Nuclear Structure and Function (10 papers)TGF-β signaling in diseases (5 papers)Congenital heart defects research (4 papers)

In The Last Decade

Hua Chang

33 papers receiving 1.8k citations

Hit Papers

Genetic Analysis of the Mammalian Transforming Growth Fac...20022026201020182002200400600

Peers

Hua Chang
Comparison fields: 5 of 104
  • Molecular Biology 1.4k
  • Public Health, Environmental and Occupational Health 299
  • Genetics 255
  • Surgery 163
  • Oncology 160
Replace Claudia Baumann with:
Claudia Baumann United States
Jessamyn Bagley United States
Felix Kokocinski Germany
Abdeljabar El Andaloussi United States
Nina Horelli‐Kuitunen Finland
Somayyeh Fahiminiya Canada
George N. Goulielmos Greece
Takafumi Matsumura Japan
Irina Golovleva Sweden
Daniel Nettersheim Germany
Hua Chang relative to Claudia Baumann United States Claudia Baumann's profile →
Citations per field
00.5×1.6×
Claudia Baumann · 1×
Citations per year

Countries citing papers authored by Hua Chang

Since Specialization
Citations

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

Fields of papers citing papers by Hua Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Chang. A scholar is included among the top collaborators of Hua Chang 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 Chang. Hua Chang 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 3
2 2
3 0
4 1
5 3
6 2
7 38
8 20
9 50
10 2
11 3
12 3
13 5
14 7
15 20
16 16
17 39
18 163
19 56
20 120

About Hua Chang

Hua Chang is a scholar working on Virology, Molecular Biology and Parasitology, having authored 34 papers that have together received 1.8k indexed citations. Recurring topics across this work include Nuclear Structure and Function (10 papers), TGF-β signaling in diseases (5 papers) and Congenital heart defects research (4 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Reproductive Medicine (114 citations) and Cancer Research (158 citations). Hua Chang has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Martin M. Matzuk, Chester Brown, An Zwijsen, Danny Huylebroeck, Qiuxia Guo, Kristin Verschueren, Milton J. Finegold, Lutfi Abu-Elheiga, Jianqiang Mao and Kathleen Mahon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology 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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