Guanglong Dong

2.1k citations
76 papers · 1.6k indexed · h-index 24
Topics
Renal Transplantation Outcomes and Treatments (9 papers)Organ Transplantation Techniques and Outcomes (9 papers)Cancer-related molecular mechanisms research (9 papers)

In The Last Decade

Guanglong Dong

70 papers receiving 1.6k citations

Peers

Guanglong Dong
Comparison fields: 5 of 99
  • Molecular Biology 874
  • Cancer Research 601
  • Oncology 378
  • Pulmonary and Respiratory Medicine 232
  • Immunology 197
Replace Emily F. Mason with:
Emily F. Mason United States
Kathryn E. Hamilton United States
Nan You China
Tomio Ueno Japan
Marı́a Victoria González Spain
Zijin Zhao China
Pengfei Liu China
Toshiya Ochiai Japan
Xiang Da Dong United States
Judson M. Englert United States
Guanglong Dong relative to Emily F. Mason United States Emily F. Mason's profile →
Citations per field
00.5×1.5×1.9×
Emily F. Mason · 1×
Citations per year

Countries citing papers authored by Guanglong Dong

Since Specialization
Citations

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

Fields of papers citing papers by Guanglong Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanglong Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Guanglong Dong. A scholar is included among the top collaborators of Guanglong 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 Guanglong Dong. Guanglong 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 0
2 0
3 5
4 0
5 2
6 47
7 4
8 18
9 16
10 17
11 15
12 4
13
The H2304E1 Study: Efficacy and Safety of Everolimus With Reduced Tacrolimus Versus Standard Tacrolimus in De Novo Liver Transplant Recipients at 36 Months.
0
14 63
15 31
16 94
17 41
18 31
19 3
20 14

About Guanglong Dong

Guanglong Dong is a scholar working on Transplantation, Cancer Research and Hepatology, having authored 76 papers that have together received 1.6k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (9 papers), Organ Transplantation Techniques and Outcomes (9 papers) and Cancer-related molecular mechanisms research (9 papers). The work is most often cited by research in Cancer Research (601 citations), Gastroenterology (84 citations) and Oncology (378 citations). Guanglong Dong has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Gang Ji, Carter Van Waes, Zhong Chen, T Kato, Qingchuan Zhao, Dake Chu, Weizhong Wang, Yunming Li, Wenxing Gao and Dingchang Li. Their work appears in journals such as Nature Communications, PLoS ONE and Scientific Reports.

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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