Danhui Yang

1.2k citations
34 papers · 936 · h-index 15

Impact in

Papers in

Danhui Yang

34 papers receiving 911 citations

Peers

Danhui Yang
Comparison fields: 5 of 77
  • Clinical Biochemistry 53
  • Neurology 143
  • Animal Science and Zoology 78
  • Molecular Biology 314
  • Reproductive Medicine 47
Replace Rodolfo J Ricart Arbona with:
Rodolfo J Ricart Arbona United States
Thierry Decelle France
Adrian Deeny Germany
Xinwei Wu China
Juan T. Borda United States
Keiji Kinoshita Japan
Maggie Brett Singapore
Derek D.C. Ireland United States
Ruicheng Yang China
Ícaro Maia Santos de Castro Brazil
Danhui Yang relative to Rodolfo J Ricart Arbona United States Rodolfo J Ricart Arbona's profile →
Citations per field
00.5×5×10×15×20.4×
Rodolfo J Ricart Arbona · 1×
Citations per year

Countries citing papers authored by Danhui Yang

Since Specialization
Citations

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

Fields of papers citing papers by Danhui Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Danhui Yang, 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 Danhui Yang Line = papers co-authored together Danhui Yang 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 1995130
2 1998110
3 201181
4 202179
5 202073
6 200062
7 202059
8 202138
9 202337
10 202128
11 202228
12 199526
13 202224
14 202122
15 201916
16 200412
17 202112
18 202212
19 202312
20 202111

About Danhui Yang

Danhui Yang is a scholar working on Pulmonary and Respiratory Medicine, Neurology, Genetics, Molecular Biology and Clinical Biochemistry, having authored 34 papers that have together received 936 indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (14 papers), Photosynthetic Processes and Mechanisms (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Long-Term Effects of COVID-19 (3 papers), Genetic and Kidney Cyst Diseases (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), COVID-19 Clinical Research Studies (1 paper) and Bacterial Identification and Susceptibility Testing (1 paper). The work is most often cited by research in Clinical Biochemistry (53 citations), Neurology (143 citations), Animal Science and Zoology (78 citations), Molecular Biology (314 citations) and Reproductive Medicine (47 citations). Danhui Yang has collaborated with scholars based in China, Sweden and Canada. Frequent co-authors include Bertil Andersson, Marika Lindahl, Hong Luo, Éva Nagy, Helena Grgić, Shuizi Ding, Cheng Lei, Jeanette I. Webster, Zach Adam and Harald Paulsen. Their work appears in journals such as Frontiers in Genetics, Pharmacogenomics and Personalized Medicine, BMC Pulmonary Medicine, European Journal of Biochemistry and Infectious Diseases and Therapy.

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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