Xin Nie

2.2k citations
63 papers · 1.4k indexed · h-index 18
Topics
Cancer-related molecular mechanisms research (11 papers)RNA modifications and cancer (9 papers)RNA Research and Splicing (9 papers)
Journals
CellProceedings of the National Academy of SciencesSHILAP Revista de lepidopterología
Partner nations
ChinaGermanySingapore

In The Last Decade

Xin Nie

60 papers receiving 1.4k citations

Peers

Xin Nie
Comparison fields: 5 of 125
  • Molecular Biology 962
  • Plant Science 594
  • Cancer Research 271
  • Pulmonary and Respiratory Medicine 121
  • Oncology 100
Replace Zhiyong Xiong with:
Zhiyong Xiong China
Jiqin Zhang China
Shaoyan Liu China
Shan Yang China
Yushan Liu China
Wenhao Wang China
Younghoon Jang South Korea
Lijie Yang China
Yanqiu Hu China
Xiujun Li China
Xin Nie relative to Zhiyong Xiong China Zhiyong Xiong's profile →
Citations per field
00.5×1.5×
Zhiyong Xiong · 1×
Citations per year

Countries citing papers authored by Xin Nie

Since Specialization
Citations

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

Fields of papers citing papers by Xin Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Nie. A scholar is included among the top collaborators of Xin Nie 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 Nie. Xin Nie 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 0
3 2
4 3
5 1
6 4
7 2
8 2
9 15
10 6
11
miRNA-382-5p Suppresses the Expression of Farnesoid X Receptor to Promote Progression of Liver Cancer
1
12 33
13
Overexpression of TEM8 promotes ovarian cancer progression via Rac1/Cdc42/JNK and MEK/ERK/STAT3 signaling pathways.
13
14 22
15 46
16 9
17 13
18 15
19 100
20 192

About Xin Nie

Xin Nie is a scholar working on Cancer Research, Molecular Biology and Reproductive Medicine, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (11 papers), RNA modifications and cancer (9 papers) and RNA Research and Splicing (9 papers). The work is most often cited by research in Cancer Research (271 citations), Plant Science (594 citations) and Molecular Biology (962 citations). Xin Nie has collaborated with scholars based in China, Germany and Singapore. Frequent co-authors include Frédéric Berger, Sarah Holec, Bei Lin, Jing Li, Rui Gou, Yuexin Hu, Mingjun Zheng, Juanjuan Liu, Hume Stroud and Ramesh Yelagandula. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

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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