Guogang Dong

869 citations
12 papers · 645 indexed · h-index 9

Guogang Dong

12 papers receiving 635 citations

Peers

Guogang Dong
Comparison fields: 5 of 79
  • Endocrine and Autonomic Systems 250
  • Aging 17
  • Renewable Energy, Sustainability and the Environment 148
  • Cellular and Molecular Neuroscience 166
  • Molecular Biology 444
Replace N. F. Tsinoremas with:
N. F. Tsinoremas United States
Walter Taylor United States
Setsuyuki Aoki Japan
Shinsuke Kutsuna Japan
Michinori Mutsuda Japan
Yohko Kitayama Japan
Frédéric Sanchez France
Chieko Sugita Japan
Georg Kreimer Germany
Naoki Takai Japan
Guogang Dong relative to N. F. Tsinoremas United States N. F. Tsinoremas's profile →
Citations per field
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N. F. Tsinoremas · 1×
Citations per year

Countries citing papers authored by Guogang Dong

Since Specialization
Citations

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

Fields of papers citing papers by Guogang Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 20234
2
[Increased expression of transendothelial migration-related molecules CCL4, ICAM-1 and VCAM-1 in lung tissue after surgical removal of mouse tumor-bearing lymph node].
20201
3 201442
4 201259
5
Elevated ATPase Activity of KaiC Constitutes a Circadian Checkpoint of Cell Division in Synechococcus elongatus
20102
6 201032
7 2010116
8
Circadian Gating of the Cell Cycle Revealed in Single Cyanobacterial Cells
2009129
9 200889
10 200830
11 200899
12 200642

About Guogang Dong

Guogang Dong is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Otorhinolaryngology, having authored 12 papers that have together received 645 indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (8 papers), Light effects on plants (6 papers), Photoreceptor and optogenetics research (5 papers), Circadian rhythm and melatonin (4 papers), Plant and Biological Electrophysiology Studies (2 papers), Algal biology and biofuel production (2 papers), RNA Interference and Gene Delivery (1 paper) and Viral Infections and Immunology Research (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (250 citations), Aging (17 citations) and Renewable Energy, Sustainability and the Environment (148 citations). Guogang Dong has collaborated with scholars based in United States, Philippines and China. Frequent co-authors include Susan S. Golden, Yong-Ick Kim, Alexander van Oudenaarden, Qiong Yang, Bernardo Pando, Andy LiWang, Qiang Wang, Thammajun L. Wood, Katherine W. Osteryoung and Xiaofan Zhang. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and PLoS ONE.

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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