Lan Jin

554 total citations · 1 hit paper
12 papers, 391 citations indexed

About

Lan Jin is a scholar working on Molecular Biology, Plant Science and Oncology. According to data from OpenAlex, Lan Jin has authored 12 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Oncology. Recurrent topics in Lan Jin's work include Natural product bioactivities and synthesis (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). Lan Jin is often cited by papers focused on Natural product bioactivities and synthesis (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). Lan Jin collaborates with scholars based in China, Denmark and Japan. Lan Jin's co-authors include Yanbo Xu, Huashan Liu, Zhenlin Hou, Yujing Fang, Ling-Heng Kong, Jiahua He, Zhenhai Lu, Junzhong Lin, Chi Zhou and Jianhong Peng and has published in prestigious journals such as Small, International Journal of Biological Macromolecules and Autophagy.

In The Last Decade

Lan Jin

11 papers receiving 387 citations

Hit Papers

Tumor-derived lactate promotes resistance to bevacizumab ... 2023 2026 2024 2025 2023 50 100 150 200

Peers

Lan Jin
Comparison fields: 5 of 70
  • Molecular Biology 232
  • Cancer Research 132
  • Biological Psychiatry 43
  • Oncology 43
  • Immunology 42
Replace Chiara Suvieri with:
Chiara Suvieri Italy
Reza Yari Iran
Yongsheng Jiang China
Xiaoping Peng China
Lobna A. Saleh Egypt
Takeshi Yamaura Japan
Fariba Dehghanian Iran
Heng Liang China
Chiara Suvieri Italy View profile →
Citations per field, relative to Lan Jin
Lan Jin · 1×
Citations per year, relative to Lan Jin
Lan Jin · 1×

Countries citing papers authored by Lan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Lan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lan Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Lan Jin. A scholar is included among the top collaborators of Lan Jin 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 Lan Jin. Lan Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 0
2 2
3 10
4 1
5 4
6
Tumor-derived lactate promotes resistance to bevacizumab treatment by facilitating autophagy enhancer protein RUBCNL expression through histone H3 lysine 18 lactylation (H3K18la) in colorectal cancer breakdown →
240
7 1
8 5
9 36
10 6
11 9
12 77

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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