Ling Jin

917 citations
24 papers · 696 · h-index 14

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism
    • Mesenchymal stem cell research

Papers in

Ling Jin

24 papers receiving 686 citations

Peers

Ling Jin
Comparison fields: 5 of 91
  • Cancer Research 186
  • Genetics 79
  • Cellular and Molecular Neuroscience 110
  • Molecular Biology 359
  • Developmental Neuroscience 20
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Zheng Cao China
Madalena Costa Portugal
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Jiahui Ye China
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Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Ling Jin

Since Specialization
Citations

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

Fields of papers citing papers by Ling Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018120
2 2020108
3 201880
4 201153
5 202252
6 202140
7 201234
8 201932
9
Tumor-associated macrophages increase the proportion of cancer stem cells in lymphoma by secreting pleiotrophin.
201926
10 201023
11 202120
12 201019
13 201518
14 200816
15 202112
16 200910
17
Enhancement of the Antioxidant and Anticancer Activities of Berberis koreana Bark by Using a Low Temperature and High-Pressure Extraction Process
20097
18 20127
19
Comparison of Antioxidant and Glutathione S-Transferase Activities of Extracts from Acer mono and A. okamotoanum
20086
20 20145

About Ling Jin

Ling Jin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Plant Science and Cancer Research, having authored 24 papers that have together received 696 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (3 papers), Receptor Mechanisms and Signaling (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Nerve injury and regeneration (2 papers), Cancer, Lipids, and Metabolism (2 papers), Mechanisms of cancer metastasis (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Pharmacological Receptor Mechanisms and Effects (2 papers). The work is most often cited by research in Cancer Research (186 citations), Genetics (79 citations), Cellular and Molecular Neuroscience (110 citations), Molecular Biology (359 citations) and Developmental Neuroscience (20 citations). Ling Jin has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Douglas Andres, Julie Staub, Viji Shridhar, Sayantani Sarkar Bhattacharya, Lihua Luo, Qingsong Ye, Yan He, Jian Xiao, Abdullkhaleg Ali Albashari and Yanni Zhang. Their work appears in journals such as Molecular Biology of the Cell, Oncogene, PLoS ONE, Journal of Medical Primatology and Molecular and Cellular Biology.

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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