Ling Xie

1.3k total citations
31 papers, 641 citations indexed

About

Ling Xie is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Ling Xie has authored 31 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Oncology and 4 papers in Hematology. Recurrent topics in Ling Xie's work include Protein Degradation and Inhibitors (10 papers), Ubiquitin and proteasome pathways (7 papers) and Epigenetics and DNA Methylation (4 papers). Ling Xie is often cited by papers focused on Protein Degradation and Inhibitors (10 papers), Ubiquitin and proteasome pathways (7 papers) and Epigenetics and DNA Methylation (4 papers). Ling Xie collaborates with scholars based in United States, China and India. Ling Xie's co-authors include Xian Chen, Jian Jin, Earl W. Davie, John D. Kulman, J. Harris, Yudao Shen, Xufen Yu, Jing Liu, H. Ümit Kanıskan and Jing Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Analytical Chemistry.

In The Last Decade

Ling Xie

31 papers receiving 633 citations

Peers

Ling Xie
Comparison fields: 5 of 67
  • Molecular Biology 496
  • Oncology 138
  • Immunology 84
  • Hematology 71
  • Cancer Research 63
Replace Haider H. Dar with:
Haider H. Dar United States
William A. Ricketts United States
Isett Laux United States
Seung Oe Lim South Korea
Danny Burg Netherlands
Asmitananda Thakur China
Eun Ryoung Jang United States
Iryna Kolosenko Sweden
Heike Helmbach Germany
Satish Cheepala United States
Haider H. Dar United States View profile →
Citations per field, relative to Ling Xie
Ling Xie · 1×
Citations per year, relative to Ling Xie
Ling Xie · 1×

Countries citing papers authored by Ling Xie

Since Specialization
Citations

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

Fields of papers citing papers by Ling Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Xie. A scholar is included among the top collaborators of Ling 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 Ling Xie. Ling 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
# Work Indexed citations
1 2
2 1
3 3
4 4
5 6
6 4
7 22
8 96
9 14
10 69
11 9
12 13
13 3
14 6
15 38
16 61
17 6
18
The associated analysis of ERCC1 gene polymorphism in regulatory region and mRNA Q-PCR expression.
1
19 16
20 12

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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