Authoratory™
 
This website is accredited by Health On the Net Foundation. Click to verify.
ExcelCSVXML     print

141Jun Wang

 

This is an abridged 2005 data mining report for Jun Wang. The complete report is available only to the community members. As a guest user you can access the free unabridged reports for this author for the years prior to 2004: 2002, 2003.

Authoratory community membership is free for a member of educational or government organization. If you are already a community member please login or create FREE account to start using Authoratory now!

Summary for 2005 [at-glance overview of Jun Wang work for the selected year as suggested by data mining algorithms]

This is an Authoratory overview of author Jun Wang. According to available data, in 2005 Jun Wang published at least 100 articles. This work was completed in collaboration with several authors including Wang, Jian and Yu, Jun. Many other authors have collaborated with Jun Wang as well. At least 2 different grants are awarded to Jun Wang to support this work. All time total of the grant awards on file exceeds $362,328.

Jun Wang is a key opinion leader on Transcription, Genetic, Species Specificity, Fluorescence. This author's highest rank is 1 when compared to all other authors using the keyword Fluorescence. Analysis of the article abstracts and the titles suggests that Jun Wang professional interests are focused around "cell carcinoma head", "carcinoma head neck" and "squamous cell carcinoma". These might also be referred to as "neural network", "head neck" or "gastric cancer". Statistical analysis shows that Jun Wang's writing is likely to contains terms "cells", "expression", "cell", "gene", "results" and "human".

The affiliations of Jun Wang vary, with Department of Pathology and Laboratory Medicine, Loma Linda University Medical Center, Loma Linda, California CA Calif 92354, USA. being the most prominent. Luckily, several email addresses are on file.

Other [context-specific ads]

Alternative names (1) [other authors with names similar to Jun Wang]

Too Much Data [Jun Wang report is too large be to shown at once, please choose individual sections instead]