Kexin Nie

462 total citations
20 papers, 326 citations indexed

About

Kexin Nie is a scholar working on Biological Psychiatry, Molecular Biology and Neurology. According to data from OpenAlex, Kexin Nie has authored 20 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biological Psychiatry, 6 papers in Molecular Biology and 5 papers in Neurology. Recurrent topics in Kexin Nie's work include Tryptophan and brain disorders (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Berberine and alkaloids research (4 papers). Kexin Nie is often cited by papers focused on Tryptophan and brain disorders (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Berberine and alkaloids research (4 papers). Kexin Nie collaborates with scholars based in China, Australia and Spain. Kexin Nie's co-authors include Yueheng Tang, Hongzhan Wang, Hui Dong, Hao Su, Fuer Lu, Yang Gao, Chen Shen, Wenya Huang, Zhi Wang and Ke Fang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Ethnopharmacology and Frontiers in Pharmacology.

In The Last Decade

Kexin Nie

18 papers receiving 325 citations

Peers

Kexin Nie
Comparison fields: 5 of 72
  • Molecular Biology 126
  • Biological Psychiatry 65
  • Pharmacology 59
  • Pharmacology 55
  • Epidemiology 42
Replace Xinru Gu with:
Xinru Gu China
Fengwei Nan China
Mohammed F. El-Yamany Egypt
Maria Eduarda Rocha de França Brazil
Jie Yin Yee Singapore
Yanli Xing China
Yuli Han China
Wenjuan Rui China
Xianan Dong China
Jianping Xie China
Xinru Gu China View profile →
Citations per field, relative to Kexin Nie
Kexin Nie · 1×
Citations per year, relative to Kexin Nie
Kexin Nie · 1×

Countries citing papers authored by Kexin Nie

Since Specialization
Citations

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

Fields of papers citing papers by Kexin Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kexin Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Kexin Nie. A scholar is included among the top collaborators of Kexin 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 Kexin Nie. Kexin 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
# Work Indexed citations
1 2
2 6
3 0
4 6
5 19
6 10
7 18
8 0
9 16
10 11
11 37
12
Identification Prognostic Value and Correlation with Tumor-Infiltrating Immune Cells of Tripartite-Motif Family Genes in Hepatocellular Carcinoma
10
13 30
14 57
15 15
16 23
17 15
18 1
19 41
20 9

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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