Anli Jin

544 citations
17 papers · 400 · h-index 10

Impact in

  • Physiology top 5%
    • Adenosine and Purinergic Signaling
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Circular RNAs in diseases 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Extracellular vesicles in disease 2
    • Cancer-related Molecular Pathways 2
    • Pancreatic and Hepatic Oncology Research 1

Anli Jin

15 papers receiving 399 citations

Peers

Anli Jin
Comparison fields: 5 of 59
  • Physiology 88
  • Cancer Research 91
  • Immunology 70
  • Oncology 66
  • Molecular Biology 178
Replace Rui-Qing Peng with:
Rui-Qing Peng China
Chang-Sheng Chang United States
Kanako Inaba Japan
Lanya Li China
Shihao Xiang China
Gilles Rademaker Belgium
Tsutomu Izawa Japan
Nadia Vezzio-Vié France
Zhilei Zhang China
Elisa Paolicchi Italy
Anli Jin relative to Rui-Qing Peng China Rui-Qing Peng's profile →
Citations per field
00.5×3.8×
Rui-Qing Peng · 1×
Citations per year

Countries citing papers authored by Anli Jin

Since Specialization
Citations

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

Fields of papers citing papers by Anli Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2019196
2 202141
3 202231
4 202229
5 199818
6 201917
7 202015
8 202213
9 202212
10 202211
11 20226
12 20225
13 20253
14 20242
15 20221
16 20250
17 20250

About Anli Jin

Anli Jin is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Immunology, having authored 17 papers that have together received 400 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Ferroptosis and cancer prognosis (2 papers), Circular RNAs in diseases (2 papers), Cancer-related Molecular Pathways (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Immune cells in cancer (2 papers), Extracellular vesicles in disease (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Physiology (88 citations), Cancer Research (91 citations), Immunology (70 citations), Oncology (66 citations) and Molecular Biology (178 citations). Anli Jin has collaborated with scholars based in China, Ethiopia and India. Frequent co-authors include Beili Wang, Xin‐Rong Yang, Hao Wang, Wenjing Yang, Jia Fan, Baishen Pan, Jian Zhou, Yun‐Fan Sun, Bo Hu and Wei Guo. Their work appears in journals such as Biomarkers in Medicine, Journal of Clinical Laboratory Analysis, Journal of Hematology & Oncology, BMC Gastroenterology and iScience.

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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