Jing Jin

6.2k citations
140 papers · 3.3k · 1 hit paper · h-index 31

Impact in

Papers in

    • Viral-associated cancers and disorders 15
    • Colorectal Cancer Surgical Treatments 9
    • Sphingolipid Metabolism and Signaling 11

Jing Jin

135 papers receiving 3.3k citations

Jing Jin's Hit Papers

The m6A reader YTHDF1 promotes ovarian cancer progression via augmenting EIF3C translation 2020 · 530 citations
5300+2+4Years since publication100200300400500

Peers

Jing Jin
Comparison fields: 5 of 123
  • Cancer Research 711
  • Pathology and Forensic Medicine 762
  • Oncology 1.1k
  • Molecular Biology 1.4k
  • Hepatology 147
Replace Masashi Takano with:
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Ligang Xing China
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Jing Jin relative to Masashi Takano Japan Masashi Takano's profile →
Citations per field
00.5×1.5×2.3×
Masashi Takano · 1×
Citations per year

Countries citing papers authored by Jing Jin

Since Specialization
Citations

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

Fields of papers citing papers by Jing Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The m6A reader YTHDF1 promotes ovarian cancer progression via augmenting EIF3C translation
Hit paper breakdown →
2020530
2 2005271
3 2005100
4 200875
5 201968
6 200967
7 201864
8 201959
9 201153
10 201551
11 202250
12 202148
13 201948
14 201148
15 201345
16 202045
17 200445
18 201744
19 201143
20 201242

About Jing Jin

Jing Jin is a scholar working on Oncology, Molecular Biology, Surgery, Pathology and Forensic Medicine and Cancer Research, having authored 140 papers that have together received 3.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (18 papers), Viral-associated cancers and disorders (15 papers), MicroRNA in disease regulation (13 papers), Breast Cancer Treatment Studies (12 papers), Sphingolipid Metabolism and Signaling (11 papers), Gastric Cancer Management and Outcomes (9 papers), Colorectal Cancer Surgical Treatments (9 papers) and Colorectal and Anal Carcinomas (8 papers). The work is most often cited by research in Cancer Research (711 citations), Pathology and Forensic Medicine (762 citations), Oncology (1.1k citations), Molecular Biology (1.4k citations) and Hepatology (147 citations). Jing Jin has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Ye‐Xiong Li, Shulian Wang, Xiaoguang Chen, Yue‐Ping Liu, Weihu Wang, Yong-Wen Song, Zihao Yu, Hui Fang, Xin-Fan Liu and Ming Ji. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Frontiers in Oncology, Journal of Medicinal Chemistry, Acta Pharmaceutica Sinica B and Bioorganic & Medicinal Chemistry.

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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