Liting Jin

597 citations
11 papers · 456 · h-index 7

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Cells and Metastasis

Papers in

    • Cancer Cells and Metastasis 3
    • Inflammatory Biomarkers in Disease Prognosis 1
    • HER2/EGFR in Cancer Research 1
    • Advanced biosensing and bioanalysis techniques 1
    • Cancer therapeutics and mechanisms 1

Liting Jin

11 papers receiving 452 citations

Peers

Liting Jin
Comparison fields: 5 of 89
  • Cancer Research 115
  • Oncology 143
  • Biophysics 23
  • Inorganic Chemistry 42
  • Molecular Biology 193
Replace Xuchao Wang with:
Xuchao Wang China
Jennifer L. Allensworth United States
Junyi Han China
Daniel P. Camarco United States
Changcheng Wang China
Mario Marchesi Brazil
Chunxia Huang China
Di Hu China
Mohammad Zulkifli United States
Valeri N. Verovski Belgium
Liting Jin relative to Xuchao Wang China Xuchao Wang's profile →
Citations per field
00.5×3.5×
Xuchao Wang · 1×
Citations per year

Countries citing papers authored by Liting Jin

Since Specialization
Citations

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

Fields of papers citing papers by Liting Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2018217
2 201851
3 201545
4 201539
5 201636
6 201734
7 202118
8 20176
9 20196
10 20222
11 20152

About Liting Jin

Liting Jin is a scholar working on Oncology, Molecular Biology, Cancer Research, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 456 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (3 papers), Breast Cancer Treatment Studies (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Cancer therapeutics and mechanisms (1 paper), Cancer, Lipids, and Metabolism (1 paper), Spectroscopy and Chemometric Analyses (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper) and HER2/EGFR in Cancer Research (1 paper). The work is most often cited by research in Cancer Research (115 citations), Oncology (143 citations), Biophysics (23 citations), Inorganic Chemistry (42 citations) and Molecular Biology (193 citations). Liting Jin has collaborated with scholars based in China and United States. Frequent co-authors include Xiaojiang Cui, Bingchen Han, Armando E. Giuliano, Yukun Cui, Emily Siegel, Xinhong Wu, Mingxing Zhang, Yajing Ling, De‐Li Chen and Yabing He. Their work appears in journals such as Journal of Translational Medicine, Scientific Reports, Aging, Dalton Transactions and Cancer Biology & Therapy.

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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