Junling Shen

769 citations
26 papers · 590 · h-index 11

Impact in

Papers in

    • Melanoma and MAPK Pathways 4
    • Plant biochemistry and biosynthesis 3
    • TGF-β signaling in diseases 2
    • Plant Gene Expression Analysis 2

Junling Shen

23 papers receiving 574 citations

Peers

Junling Shen
Comparison fields: 5 of 89
  • Sensory Systems 71
  • Cancer Research 141
  • Biochemistry 44
  • Molecular Biology 385
  • Cell Biology 76
Replace Ruiyu Zhu with:
Ruiyu Zhu China
Guido Fellbrich Germany
Hirotoshi Motoda Japan
David Wan-Cheng Li United States
Yoshio Anazawa Japan
Jennifer Berger Austria
Y. Wan United States
Joon No Lee South Korea
Taegun Kwon United States
María V. Espelt Argentina
Junling Shen relative to Ruiyu Zhu China Ruiyu Zhu's profile →
Citations per field
00.5×4.4×
Ruiyu Zhu · 1×
Citations per year

Countries citing papers authored by Junling Shen

Since Specialization
Citations

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

Fields of papers citing papers by Junling Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012143
2 2014131
3 201152
4 201046
5 201537
6 202032
7 201828
8 201123
9 202514
10 201814
11 201111
12 202210
13 20217
14 20116
15 20206
16 20196
17 20235
18 20115
19 20165
20 20243

About Junling Shen

Junling Shen is a scholar working on Molecular Biology, Plant Science, Oncology, Cell Biology and Genetics, having authored 26 papers that have together received 590 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (4 papers), Plant biochemistry and biosynthesis (3 papers), TGF-β signaling in diseases (2 papers), Cell Adhesion Molecules Research (2 papers), Cancer Cells and Metastasis (2 papers), Cancer-related molecular mechanisms research (2 papers), Plant Gene Expression Analysis (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Sensory Systems (71 citations), Cancer Research (141 citations), Biochemistry (44 citations), Molecular Biology (385 citations) and Cell Biology (76 citations). Junling Shen has collaborated with scholars based in China, Taiwan and Australia. Frequent co-authors include Jian Wang, Xinwei Zhang, Jingwu Li, Chen Wang, Lili Yang, Jianwei Sun, Wei‐Chiao Chang, Minjung Kim, Shengyu Yang and Heping Cheng. Their work appears in journals such as Bioscience Reports, Frontiers in Pediatrics, The Journal of Cell Biology, FEBS Journal and BMC Cancer.

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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