Lan Jin

554 citations
12 papers · 391 · 1 hit paper · h-index 6

Impact in

Papers in

    • Natural product bioactivities and synthesis 3
    • Epigenetics and DNA Methylation 1
    • Phytochemistry and Biological Activities 2

Lan Jin

11 papers receiving 387 citations

Lan Jin's Hit Papers

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 2023 · 240 citations
2400+1+2Years since publication50100150200

Peers

Lan Jin
Comparison fields: 5 of 70
  • Biological Psychiatry 43
  • Cancer Research 132
  • Behavioral Neuroscience 30
  • Neurology 29
  • Molecular Biology 232
Replace Lobna A. Saleh with:
Lobna A. Saleh Egypt
Xiaoping Peng China
Evelyn Walenta United States
Lingli Yan China
Yongsheng Jiang China
Reza Yari Iran
Chiara Suvieri Italy
Chen‐Xue Mao China
Lan Jin relative to Lobna A. Saleh Egypt Lobna A. Saleh's profile →
Citations per field
00.5×
Lobna A. Saleh · 1×
Citations per year

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-authors

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

All Works

12 of 12 papers shown
#Work
1
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
Hit paper breakdown →
2023240
2 201877
3 201936
4 202410
5 20199
6 20196
7 20205
8 20244
9 20252
10 20241
11 20231
12 20250

About Lan Jin

Lan Jin is a scholar working on Molecular Biology, Plant Science, Oncology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 391 indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Phytochemistry and Biological Activities (2 papers), Immunotherapy and Immune Responses (2 papers), Genetic factors in colorectal cancer (1 paper), Tryptophan and brain disorders (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Biological Psychiatry (43 citations), Cancer Research (132 citations), Behavioral Neuroscience (30 citations), Neurology (29 citations) and Molecular Biology (232 citations). Lan Jin has collaborated with scholars based in China, Denmark and Japan. Frequent co-authors include Weihao Li, Junzhong Lin, Huashan Liu, Jiahua He, Zhenhai Lu, Zhizhong Pan, Yujing Fang, Ling-Heng Kong, Xiaojun Wu and Long Yu. Their work appears in journals such as Autophagy, Frontiers in Oncology, International Journal of Biological Macromolecules, Molecular Pharmaceutics and Revista Brasileira de Farmacognosia.

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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