Jie Leng

2.7k citations
8 papers · 2.3k indexed · 3 hit papers · h-index 8

Jie Leng

8 papers receiving 2.3k citations

Hit Papers

Selective Requirement for Src Kinases during VEGF-Induced...6461998202620072016200400600

Peers

Jie Leng
Comparison fields: 5 of 89
  • Immunology and Allergy 898
  • Cell Biology 911
  • Molecular Biology 1.5k
  • Cancer Research 309
  • Oncology 390
Replace Virginia Gray with:
Virginia Gray Canada
Isaac Rabinovitz United States
Richard A. Klinghoffer United States
Marc Delcommenne United States
Silvia M. Goicoechea United States
Heidi C. E. Welch United Kingdom
Pamela Blaikie United States
Isamu Okamoto Japan
Stefan Wennström Sweden
A A Reszka United States
Jie Leng relative to Virginia Gray Canada Virginia Gray's profile →
Citations per field
00.5×1.6×
Virginia Gray · 1×
Citations per year

Countries citing papers authored by Jie Leng

Since Specialization
Citations

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

Fields of papers citing papers by Jie Leng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside Jie Leng, 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 Jie Leng Line = papers co-authored together Jie Leng links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 201521
2 200871
3 2000151
4
Selective Requirement for Src Kinases during VEGF-Induced Angiogenesis and Vascular Permeabilitybreakdown →
1999646
5 199945
6 1999229
7
Activation of Rac and Cdc42 by Integrins Mediates Cell Spreadingbreakdown →
1998535
8
CAS/Crk Coupling Serves as a “Molecular Switch” for Induction of Cell Migrationbreakdown →
1998596

About Jie Leng

Jie Leng is a scholar working on Immunology and Allergy, Cell Biology and Genetics, having authored 8 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Cellular Mechanics and Interactions (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Melanoma and MAPK Pathways (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), HER2/EGFR in Cancer Research (1 paper) and Cardiomyopathy and Myosin Studies (1 paper). The work is most often cited by research in Immunology and Allergy (898 citations), Cell Biology (911 citations) and Molecular Biology (1.5k citations). Jie Leng has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include David A. Cheresh, Richard Klemke, Leo Price, Gary Bokoch, Martin A. Schwartz, Brian P. Eliceiri, Robert Paul, Pamela L. Schwartzberg, John Hood and Peter C. Brooks. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Molecular Cell.

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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