Dongqing Huang

2.5k citations
40 papers · 1.8k indexed · 1 hit paper · h-index 20

Dongqing Huang

37 papers receiving 1.8k citations

Hit Papers

Mapping Pathways and Phenotypes by Systematic Gene Overex...5082006202620122019100200300400500

Peers

Dongqing Huang
Comparison fields: 5 of 113
  • Aging 37
  • Cell Biology 344
  • Molecular Biology 1.4k
  • Modeling and Simulation 52
  • Plant Science 277
Replace Sarah E. Pierce with:
Sarah E. Pierce United States
Marco Siderius Netherlands
Alexander Kagansky United Kingdom
Joy L. Nishikawa Canada
Josep V. Forment United Kingdom
Miguel Godinho Ferreira Portugal
Youming Xie United States
Edna B. Laurence United Kingdom
Lili Ma China
Bo Xia China
Dongqing Huang relative to Sarah E. Pierce United States Sarah E. Pierce's profile →
Citations per field
00.5×7.4×
Sarah E. Pierce · 1×
Citations per year

Countries citing papers authored by Dongqing Huang

Since Specialization
Citations

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

Fields of papers citing papers by Dongqing Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Dongqing Huang, 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 Dongqing Huang Line = papers co-authored together Dongqing Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20254
2 20250
3 20254
4 20241
5 20241
6 202319
7 202212
8 202210
9 202181
10 202167
11 201020
12 200935
13 200774
14 2007116
15
Mapping Pathways and Phenotypes by Systematic Gene Overexpressionbreakdown →
2006508
16 1998105
17 199734
18 199730
19 199641
20 199576

About Dongqing Huang

Dongqing Huang is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Modeling and Simulation and Sensory Systems, having authored 40 papers that have together received 1.8k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (18 papers), DNA Repair Mechanisms (7 papers), Microtubule and mitosis dynamics (5 papers), Genomics and Chromatin Dynamics (4 papers), Glycosylation and Glycoproteins Research (3 papers), Glycogen Storage Diseases and Myoclonus (3 papers), Neurological Disease Mechanisms and Treatments (3 papers) and Alzheimer's disease research and treatments (3 papers). The work is most often cited by research in Aging (37 citations), Cell Biology (344 citations) and Molecular Biology (1.4k citations). Dongqing Huang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Brenda Andrews, Peter J. Roach, Jason Moffat, Richelle Sopko, Helena Friesen, Christine Cheng, Stephen G. Oliver, Timothy R. Hughes, M Snyder and Martha Cyert. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

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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