Lang Yang

3.3k citations
97 papers · 2.2k indexed · h-index 22

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
  • Oncology top 5%
    • Cancer Cells and Metastasis

Papers in

Lang Yang

90 papers receiving 2.2k citations

Peers

Lang Yang
Comparison fields: 5 of 107
  • Cancer Research 535
  • Oncology 750
  • Genetics 235
  • Molecular Medicine 104
  • Immunology 396
Replace Christine Varon with:
Christine Varon France
Ke Xu China
Shawn T. Estrem United States
Jasbir Kaur India
Qian Mei China
Antoine Galmiche France
Marta Mendiola Spain
Kaori Suzuki Japan
Xiao He China
Lang Yang relative to Christine Varon France Christine Varon's profile →
Citations per field
00.5×6.5×
Christine Varon · 1×
Citations per year

Countries citing papers authored by Lang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lang Yang, 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 Yang Line = papers co-authored together Lang Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012375
2 2012198
3 2014174
4 2014115
5 2013107
6 201499
7 201379
8 201165
9 201849
10 201849
11 201748
12 201847
13 201645
14 201839
15 202036
16 202233
17 201827
18
[The trends and preventive strategies of esophageal cancer in high-risk areas of Taihang Mountains, China].
200126
19 202025
20
Activation of toll-like receptor 2 promotes invasion by upregulating MMPs in glioma stem cells.
201525

About Lang Yang

Lang Yang is a scholar working on Molecular Medicine, Endocrinology, Gastroenterology, Oncology and Cancer Research, having authored 97 papers that have together received 2.2k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (16 papers), Cancer Cells and Metastasis (11 papers), Antibiotic Resistance in Bacteria (11 papers), Helicobacter pylori-related gastroenterology studies (10 papers), Colorectal Cancer Screening and Detection (10 papers), Genetic factors in colorectal cancer (8 papers), Bacteriophages and microbial interactions (8 papers) and Gastrointestinal Tumor Research and Treatment (7 papers). The work is most often cited by research in Cancer Research (535 citations), Oncology (750 citations), Genetics (235 citations), Molecular Medicine (104 citations) and Immunology (396 citations). Lang Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include You‐Hong Cui, Xiu‐Wu Bian, Cheng Qian, Wei Ren, Chenghui Liu, Zhengping Li, Yi‐Fang Ping, Xia Zhang, Peng Zhang and Senlin Xu. Their work appears in journals such as Journal of Gastroenterology and Hepatology, Endoscopy, Frontiers in Microbiology, Scientific Reports and Clinical Gastroenterology and Hepatology.

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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