Jin Yang

2.2k total citations · 2 hit papers
60 papers, 1.6k citations indexed

About

Jin Yang is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Jin Yang has authored 60 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 17 papers in Cancer Research and 9 papers in Surgery. Recurrent topics in Jin Yang's work include Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (5 papers) and Oral Health Pathology and Treatment (5 papers). Jin Yang is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (5 papers) and Oral Health Pathology and Treatment (5 papers). Jin Yang collaborates with scholars based in China, United States and Australia. Jin Yang's co-authors include Hongmei Zhou, Fanglong Wu, Qingxiang Zeng, Jingtian Mu, Junjiang Liu, Ye Wang, Xueke Shi, Ji‐Ting Hou, Xiao‐Qi Yu and Kun Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Jin Yang

53 papers receiving 1.5k citations

Hit Papers

Signaling pathways in cancer-associated fibroblasts and t... 2021 2026 2022 2024 2021 2022 100 200 300 400 500

Peers

Jin Yang
Comparison fields: 5 of 116
  • Molecular Biology 709
  • Cancer Research 463
  • Oncology 399
  • Immunology 243
  • Pulmonary and Respiratory Medicine 162
Replace Ian Robey with:
Ian Robey United States
Chalet Tan United States
Jacinta Serpa Portugal
Peter Teriete United States
Haoran Xu China
Qi Xie China
Junhui Chen China
Sang‐Yeob Kim South Korea
Ulrike Sattler Germany
Ian Robey United States View profile →
Citations per field, relative to Jin Yang
Jin Yang · 1×
Citations per year, relative to Jin Yang
Jin Yang · 1×

Countries citing papers authored by Jin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Yang. A scholar is included among the top collaborators of Jin Yang 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 Jin Yang. Jin Yang 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 3
2 0
3 13
4 1
5 28
6 1
7 5
8 2
9 6
10 7
11 1
12 4
13 6
14
TGF-β signaling in the tumor metabolic microenvironment and targeted therapies breakdown →
150
15 7
16 9
17 7
18 51
19 42
20 23

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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