Lang Xie

843 citations
36 papers · 607 · 1 hit paper · h-index 16

Impact in

  • Physiology top 5%
    • Reproductive biology and impacts on aquatic species
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Lang Xie

34 papers receiving 606 citations

Hit Papers

Gut microbiota modulate CD8 + T cell immunity in gastric cancer through Butyrate/GPR109A/HOPX 2024 · 56 citations
560+1Years since publication1020304050

Peers

Lang Xie
Comparison fields: 5 of 84
  • Physiology 57
  • Cancer Research 178
  • Geriatrics and Gerontology 21
  • Aquatic Science 34
  • Oncology 127
Replace Noriko Tada with:
Noriko Tada Japan
Joon Yoon South Korea
Zhenhao Liu China
Wenjing Dong China
Jakub Kwintkiewicz United States
Yukiko Imai Japan
Miaomiao Xin China
T Kusano Japan
Lang Xie relative to Noriko Tada Japan Noriko Tada's profile →
Citations per field
00.5×6.3×
Noriko Tada · 1×
Citations per year

Countries citing papers authored by Lang Xie

Since Specialization
Citations

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

Fields of papers citing papers by Lang Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lang Xie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lang Xie Line = papers co-authored together Lang Xie links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201984
2 201768
3
Gut microbiota modulate CD8 + T cell immunity in gastric cancer through Butyrate/GPR109A/HOPX
Hit paper breakdown →
202456
4 201453
5 201828
6 202128
7 201624
8 202023
9 201821
10 202119
11 202119
12 202019
13 201917
14 201915
15 202015
16 201615
17 201913
18 201911
19 202110
20 202410

About Lang Xie

Lang Xie is a scholar working on Molecular Biology, Cancer Research, Surgery, Oncology and Genetics, having authored 36 papers that have together received 607 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Zebrafish Biomedical Research Applications (4 papers), Cancer Cells and Metastasis (3 papers), Immune Cell Function and Interaction (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), RNA modifications and cancer (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Physiology (57 citations), Cancer Research (178 citations), Geriatrics and Gerontology (21 citations), Aquatic Science (34 citations) and Oncology (127 citations). Lang Xie has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Chunhui Cui, Jinlong Yu, Linyan Zhou, Deshou Wang, Xiaohui Bian, Limin Wu, Yan Li, Meizhi He, Yaoyao Zhou and Chen Yang. Their work appears in journals such as Scientific Reports, Annals of Translational Medicine, Frontiers in Pharmacology, Molecular and Cellular Endocrinology and Frontiers in Microbiology.

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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