Chris J. Vlahos

9.7k citations
68 papers · 8.5k indexed · 3 hit papers · h-index 36
Topics
Protein Kinase Regulation and GTPase Signaling (16 papers)PI3K/AKT/mTOR signaling in cancer (7 papers)Blood Coagulation and Thrombosis Mechanisms (6 papers)

In The Last Decade

Chris J. Vlahos

68 papers receiving 8.4k citations

Hit Papers

A specific inhibitor of phosphatidylinositol 3-kinase, 2-...199420262004201519941994199450010001.5k2.0k2.5k

Peers

Chris J. Vlahos
Comparison fields: 5 of 133
  • Molecular Biology 5.8k
  • Immunology 1.1k
  • Cell Biology 1.0k
  • Physiology 939
  • Oncology 928
Replace David T. Dudley with:
David T. Dudley United States
M Chiariello Italy
Steven Pelech Canada
Jean‐Claude Chambard France
Tung O. Chan United States
John L. Knopf United States
Helen Reddy United Kingdom
Matilde Caivano United Kingdom
Edward Y. Skolnik United States
Christian Rommel United States
Chris J. Vlahos relative to David T. Dudley United States David T. Dudley's profile →
Citations per field
00.5×1.7×
David T. Dudley · 1×
Citations per year

Countries citing papers authored by Chris J. Vlahos

Since Specialization
Citations

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

Fields of papers citing papers by Chris J. Vlahos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris J. Vlahos. 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 Chris J. Vlahos. The network helps show where Chris J. Vlahos may publish in the future.

Co-authorship network of co-authors of Chris J. Vlahos

This figure shows the co-authorship network connecting the top 25 collaborators of Chris J. Vlahos. A scholar is included among the top collaborators of Chris J. Vlahos 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 Chris J. Vlahos. Chris J. Vlahos 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
#WorkIndexed citations
1 22
2 103
3 41
4 87
5 66
6 77
7 43
8 28
9 145
10 52
11 177
12 110
13 19
14
Phosphatidylinositol 3-Kinase Activation Is Required for Insulin Stimulation of pp70 S6 Kinase, DNA Synthesis, and Glucose Transporter Translocationbreakdown →
913
15 120
16 65
17 52
18 166
19 13
20 3

About Chris J. Vlahos

Chris J. Vlahos is a scholar working on Virology, Molecular Biology and Hematology, having authored 68 papers that have together received 8.5k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (16 papers), PI3K/AKT/mTOR signaling in cancer (7 papers) and Blood Coagulation and Thrombosis Mechanisms (6 papers). The work is most often cited by research in Molecular Biology (5.8k citations), Immunology and Allergy (394 citations) and Cell Biology (1.0k citations). Chris J. Vlahos has collaborated with scholars based in United States, Singapore and Canada. Frequent co-authors include William F. Matter, Raymond F. Brown, K. Y. Hui, John Blenis, Bentley Cheatham, Lynn Cheatham, C. Ronald Kahn, C. Ronald Kahn, Bonnie L. Blazer‐Yost and George L. King. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Blood.

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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