Dandan Tong

1.1k citations
37 papers · 765 · h-index 17

Impact in

Papers in

Dandan Tong

36 papers receiving 752 citations

Peers

Dandan Tong
Comparison fields: 5 of 102
  • Experimental and Cognitive Psychology 168
  • Cancer Research 128
  • Cognitive Neuroscience 157
  • Molecular Biology 302
  • Oncology 78
Replace Michael D. Hall with:
Michael D. Hall United States
Christine Schröder Germany
Robin R. Johnson United States
Zihan Wei China
Atsushi Suzuki Japan
Joseph A. Bauer United States
Jodi I. Huggenvik United States
Cho-Yi Chen Taiwan
Julie M. Williams United Kingdom
Dandan Tong relative to Michael D. Hall United States Michael D. Hall's profile →
Citations per field
00.5×
Michael D. Hall · 1×
Citations per year

Countries citing papers authored by Dandan Tong

Since Specialization
Citations

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

Fields of papers citing papers by Dandan Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015156
2 201670
3 200847
4 200943
5 201041
6 201741
7 201136
8 201531
9 202228
10 201925
11 201423
12 201220
13 201720
14 202119
15 201518
16 201716
17 201816
18
[Experimental study on anti-angiogenesis in mice with Lewis lung carcinoma by low-dose of cyclophosphamide combined with ginsenoside Rg3].
200513
19 200912
20 202212

About Dandan Tong

Dandan Tong is a scholar working on Molecular Biology, Experimental and Cognitive Psychology, Cancer Research, Cognitive Neuroscience and Cell Biology, having authored 37 papers that have together received 765 indexed citations. Recurring topics across this work include Creativity in Education and Neuroscience (8 papers), Mental Health Research Topics (4 papers), Ubiquitin and proteasome pathways (3 papers), Caveolin-1 and cellular processes (3 papers), MicroRNA in disease regulation (3 papers), Cognitive Science and Mapping (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (168 citations), Cancer Research (128 citations), Cognitive Neuroscience (157 citations), Molecular Biology (302 citations) and Oncology (78 citations). Dandan Tong has collaborated with scholars based in China, Russia and Canada. Frequent co-authors include Jiang Qiu, Qinglin Zhang, Wenjing Yang, Dongtao Wei, Jiangzhou Sun, Qunlin Chen, Xin Wu, Meng Zhang, Songbin Fu and Yan Jin. Their work appears in journals such as Thinking Skills and Creativity, Oncology Reports, Pathobiology, Journal of Investigative Medicine and Consciousness and Cognition.

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.

Explore authors with similar magnitude of impact