Jia Shen

8.0k total citations · 3 hit papers
137 papers, 6.2k citations indexed

About

Jia Shen is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jia Shen has authored 137 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 28 papers in Oncology and 23 papers in Cancer Research. Recurrent topics in Jia Shen's work include RNA modifications and cancer (11 papers), Wnt/β-catenin signaling in development and cancer (10 papers) and Cancer-related molecular mechanisms research (9 papers). Jia Shen is often cited by papers focused on RNA modifications and cancer (11 papers), Wnt/β-catenin signaling in development and cancer (10 papers) and Cancer-related molecular mechanisms research (9 papers). Jia Shen collaborates with scholars based in United States, China and United Kingdom. Jia Shen's co-authors include Chia Soo, Kang Ting, Xinli Zhang, Aaron W. James, Greg Asatrian, Vi Nguyen, Gregory LaChaud, Mien‐Chie Hung, Michael Amling and Gerald J. Pinero and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Jia Shen

135 papers receiving 6.1k citations

Hit Papers

A Review of the Clinical Side E... 1999 2026 2008 2017 2016 1999 2011 250 500 750

Peers

Jia Shen
Comparison fields: 5 of 154
  • Molecular Biology 3.3k
  • Biomedical Engineering 1.2k
  • Cancer Research 1.2k
  • Oncology 842
  • Surgery 801
Replace Byeong‐Cheol Ahn with:
Byeong‐Cheol Ahn South Korea
Manfred Boehm United States
Junfeng Zhang China
Zhongmin Liu China
Martina Rauner Germany
Xiaohong Li China
Katalin Csiszár United States
Dean Y. Li United States
Airong Qian China
Je‐Yoel Cho South Korea
Byeong‐Cheol Ahn South Korea View profile →
Citations per field, relative to Jia Shen
Jia Shen · 1×
Citations per year, relative to Jia Shen
Jia Shen · 1×

Countries citing papers authored by Jia Shen

Since Specialization
Citations

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

Fields of papers citing papers by Jia Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Shen. A scholar is included among the top collaborators of Jia Shen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jia Shen. Jia Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 3
4
Guava Leaf Extract Attenuates Insulin Resistance via the PI3K/Akt Signaling Pathway in a Type 2 Diabetic Mouse Model
1
5 24
6 7
7 45
8 20
9 203
10 19
11
A Review of the Clinical Side Effects of Bone Morphogenetic Protein-2 breakdown →
845
12 2
13 3
14 96
15 15
16
S6K1 promotes invasiveness of breast cancer cells in a model of metastasis of triple-negative breast cancer.
38
17 16
18 1
19 26
20 32

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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