Dawen Xie

2.6k citations
25 papers · 1.2k indexed · h-index 14
Topics
COVID-19 epidemiological studies (4 papers)Estrogen and related hormone effects (4 papers)Helicobacter pylori-related gastroenterology studies (3 papers)

In The Last Decade

Dawen Xie

25 papers receiving 1.1k citations

Peers

Dawen Xie
Comparison fields: 5 of 129
  • Molecular Biology 508
  • Oncology 287
  • Genetics 206
  • Epidemiology 163
  • Cancer Research 129
Replace Borros Arneth with:
Borros Arneth Germany
Chi‐Chen Hong United States
Aili L. Lazaar United States
Quynh Nguyen United States
Juanjuan Xu China
Raju Jeyaseelan United States
Jing Yan China
Rasmus Jansson‐Löfmark Sweden
Jane J. Kim United States
Donald Giacherio United States
Dawen Xie relative to Borros Arneth Germany Borros Arneth's profile →
Citations per field
00.5×1.5×2.2×
Borros Arneth · 1×
Citations per year

Countries citing papers authored by Dawen Xie

Since Specialization
Citations

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

Fields of papers citing papers by Dawen Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawen Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Dawen Xie. A scholar is included among the top collaborators of Dawen Xie 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 Dawen Xie. Dawen Xie 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 1
2 1
3 2
4 10
5 20
6 9
7 10
8 22
9 50
10 88
11 380
12 18
13 25
14 23
15 9
16 11
17
Sulfotransferase 1A1 polymorphism, endogenous estrogen exposure, well-done meat intake, and breast cancer risk.
101
18 150
19
mdm-2 expression correlates with wild-type p53 status in esophageal adenocarcinoma.
21
20 1

About Dawen Xie

Dawen Xie is a scholar working on Modeling and Simulation, Behavioral Neuroscience and Biochemistry, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), Estrogen and related hormone effects (4 papers) and Helicobacter pylori-related gastroenterology studies (3 papers). The work is most often cited by research in Biological Psychiatry (30 citations), Pharmacology (102 citations) and Oncology (287 citations). Dawen Xie has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Jeremy Walston, Janet E. McElhaney, S. X. Leng, Neal S. Fedarko, George A. Kuchel, Wei Zheng, Wanqing Wen, Roberd M. Bostick, Thomas A. Sellers and James R. Cerhan. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Cancer and RSC Advances.

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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