Jennifer Wen

1.5k total citations · 1 hit paper
14 papers, 1.1k citations indexed

About

Jennifer Wen is a scholar working on Molecular Biology, Surgery and Cell Biology. According to data from OpenAlex, Jennifer Wen has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Surgery and 5 papers in Cell Biology. Recurrent topics in Jennifer Wen's work include Metabolism, Diabetes, and Cancer (4 papers), Cellular transport and secretion (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Jennifer Wen is often cited by papers focused on Metabolism, Diabetes, and Cancer (4 papers), Cellular transport and secretion (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Jennifer Wen collaborates with scholars based in United States, Qatar and France. Jennifer Wen's co-authors include Timothy E. McGraw, Bin Zheng, Lewis C. Cantley, Ning Wu, Barbara B. Kahn, Gary Bellinger, Yossi Dagon, John M. Asara, Adam J. Shaywitz and Che-Hung Shen and has published in prestigious journals such as Journal of Clinical Investigation, Molecular Cell and Molecular and Cellular Biology.

In The Last Decade

Jennifer Wen

14 papers receiving 1.1k citations

Hit Papers

AMPK-Dependent Degradation of TXNIP upon Energy Stress Le... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers

Jennifer Wen
Comparison fields: 5 of 77
  • Molecular Biology 736
  • Physiology 225
  • Surgery 211
  • Cancer Research 199
  • Cell Biology 189
Replace Lalit P. Singh with:
Lalit P. Singh United States
Mounib Elchebly Canada
Weimin He United States
Santiago Vernia Spain
Roger W. Hunter United Kingdom
Kevin R. W. Ngoei Australia
Josefin Skogsberg Sweden
Inah Hwang South Korea
Anju Preet United States
Hidenori Matsuzaki Japan
Lalit P. Singh United States View profile →
Citations per field, relative to Jennifer Wen
Jennifer Wen · 1×
Citations per year, relative to Jennifer Wen
Jennifer Wen · 1×

Countries citing papers authored by Jennifer Wen

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Wen. A scholar is included among the top collaborators of Jennifer Wen 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 Jennifer Wen. Jennifer Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 2
2 2
3 10
4 8
5 21
6 16
7 19
8 1
9 109
10 186
11 37
12 79
13
AMPK-Dependent Degradation of TXNIP upon Energy Stress Leads to Enhanced Glucose Uptake via GLUT1 breakdown →
517
14 56

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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