Xin Dong

5.3k citations
75 papers · 3.0k indexed · 3 hit papers · h-index 29
Topics
Ubiquitin and proteasome pathways (13 papers)RNA modifications and cancer (11 papers)Cancer-related molecular mechanisms research (9 papers)
Partner nations
ChinaCanadaUnited States

In The Last Decade

Xin Dong

71 papers receiving 3.0k citations

Hit Papers

TISCH: a comprehensive web resource enabling interactive ...2020202620222024202020222023200400600

Peers

Xin Dong
Comparison fields: 5 of 109
  • Molecular Biology 1.9k
  • Cancer Research 986
  • Oncology 849
  • Pulmonary and Respiratory Medicine 799
  • Immunology 548
Replace Parthasarathy Seshacharyulu with:
Parthasarathy Seshacharyulu United States
Jessalyn M. Ubellacker United States
Monica Tortoreto Italy
Paolo Ceppi Italy
Xiaofang Che China
Timothy F. Burns United States
Seung-Oe Lim United States
Limin Xia China
Christophe Denoyelle France
Go J. Yoshida Japan
Xin Dong relative to Parthasarathy Seshacharyulu United States Parthasarathy Seshacharyulu's profile →
Citations per field
00.5×1.5×2.2×
Parthasarathy Seshacharyulu · 1×
Citations per year

Countries citing papers authored by Xin Dong

Since Specialization
Citations

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

Fields of papers citing papers by Xin Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Dong. A scholar is included among the top collaborators of Xin Dong 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 Xin Dong. Xin Dong 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 4
2
Baicalin induces ferroptosis in osteosarcomas through a novel Nrf2/xCT/GPX4 regulatory axisbreakdown →
129
3 6
4 2
5 12
6 70
7 8
8
TISCH: a comprehensive web resource enabling interactive single-cell transcriptome visualization of tumor microenvironmentbreakdown →
689
9 40
10 1
11 91
12 55
13 14
14 39
15 39
16 3
17 25
18 91
19 58
20 25

About Xin Dong

Xin Dong is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 75 papers that have together received 3.0k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (13 papers), RNA modifications and cancer (11 papers) and Cancer-related molecular mechanisms research (9 papers). The work is most often cited by research in Cancer Research (986 citations), Oncology (849 citations) and Molecular Biology (1.9k citations). Xin Dong has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Chenfei Wang, Dongqing Sun, Taiwen Li, Ya Han, Rongbin Zheng, Xiaoying Shi, Pengfei Ren, Liangdong Sun, Yilv Yan and Peng Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

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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