D Vuga

444 total citations
3 papers, 262 citations indexed

About

D Vuga is a scholar working on Molecular Biology, Epidemiology and Computational Theory and Mathematics. According to data from OpenAlex, D Vuga has authored 3 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Epidemiology and 1 paper in Computational Theory and Mathematics. Recurrent topics in D Vuga's work include Protease and Inhibitor Mechanisms (1 paper), Autophagy in Disease and Therapy (1 paper) and Cell Adhesion Molecules Research (1 paper). D Vuga is often cited by papers focused on Protease and Inhibitor Mechanisms (1 paper), Autophagy in Disease and Therapy (1 paper) and Cell Adhesion Molecules Research (1 paper). D Vuga collaborates with scholars based in United States and Canada. D Vuga's co-authors include Frank Sicheri, John B. Patterson, Colleen Schweitzer, Daniel Durocher, Caryn Stiles, Xiaoping Wang, Marella D. Canny, Zheng Liu, Uriel M. Malyankar and Duane Brumm and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Microbiology and Journal of Computational Chemistry.

In The Last Decade

D Vuga

3 papers receiving 256 citations

Peers

D Vuga

CB

MB

EPIDE

SURGE

BIOTE

Delphine De Sutter Belgium

Noa Stettner Israel

Cain H. Yam Hong Kong

Esko Jd Sweden

Kazuyoshi Hirao Japan

Cristina Furlan Netherlands

David A. Hillson United Kingdom

Nadia El-Guendy Egypt

Shao Chun United States

Delphine De Sutter Belgium

D Vuga

102 ×0.6

CB

201 ×1.7

MB

42 ×0.4

EPIDE

23 ×0.6

SURGE

11 ×0.3

BIOTE

Citations per year, relative to D Vuga D Vuga (= 1×) peers Delphine De Sutter

Countries citing papers authored by D Vuga

Since Specialization

Citations

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

Fields of papers citing papers by D Vuga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D Vuga

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

All Works

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3 of 3 papers shown

1.

Lucas, Julie L., D Vuga, Xiaoping Wang, et al.. (2011). Potent and Selective Inhibitors of the Inositol-requiring Enzyme 1 Endoribonuclease. Journal of Biological Chemistry. 286(14). 12743–12755. 181 indexed citations

2.

Sims, Peter A., Chung F. Wong, D Vuga, J. Andrew McCammon, & Bartholomew M. Sefton. (2005). Relative contributions of desolvation, inter‐ and intramolecular interactions to binding affinity in protein kinase systems. Journal of Computational Chemistry. 26(7). 668–681. 22 indexed citations

3.

Banerjee, Manidipa, Jeremy Copp, D Vuga, et al.. (2004). GW domains of the Listeria monocytogenes invasion protein InlB are required for potentiation of Met activation. Molecular Microbiology. 52(1). 257–271. 59 indexed citations

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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