Longyu Jin

986 citations
41 papers · 681 · h-index 15

Impact in

Papers in

    • RNA modifications and cancer 4
    • RNA Research and Splicing 3
    • PI3K/AKT/mTOR signaling in cancer 2
    • Cancer-related Molecular Pathways 3

Longyu Jin

38 papers receiving 676 citations

Peers

Longyu Jin
Comparison fields: 5 of 88
  • Applied Microbiology and Biotechnology 32
  • Cancer Research 163
  • Pathology and Forensic Medicine 87
  • Molecular Biology 341
  • Biochemistry 26
Replace W. Liu with:
W. Liu United States
Anitha Shenoy India
Manuela Indelicato Italy
Christian Mayr Austria
Litu Zhang China
Daliu Min China
Matteo Gallazzi Italy
Glòria Oliveras Spain
Xinxin Chen China
Prathap Kumar S. Mahalingaiah United States
Longyu Jin relative to W. Liu United States W. Liu's profile →
Citations per field
00.5×7.7×
W. Liu · 1×
Citations per year

Countries citing papers authored by Longyu Jin

Since Specialization
Citations

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

Fields of papers citing papers by Longyu Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202084
2 202073
3 201368
4 201351
5 201450
6 201340
7 202129
8 201827
9 201622
10 202320
11 202118
12 201818
13 202117
14 201215
15 201314
16 202213
17 202213
18 201213
19 201813
20 201512

About Longyu Jin

Longyu Jin is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Surgery and Cancer Research, having authored 41 papers that have together received 681 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (3 papers), Cancer-related Molecular Pathways (3 papers), Tannin, Tannase and Anticancer Activities (2 papers), Trauma Management and Diagnosis (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (32 citations), Cancer Research (163 citations), Pathology and Forensic Medicine (87 citations), Molecular Biology (341 citations) and Biochemistry (26 citations). Longyu Jin has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Yuchao Ma, Ning Xie, Wei Feng, Yubo Cui, Zhibin Jiang, Wei Li, Ying Ji, W. Li, Jianxin Liu and Yue Cui. Their work appears in journals such as Oncology Reports, Cancer Science, Frontiers in Oncology, Journal of Orthopaedic Surgery and Research and PLoS ONE.

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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