Christine Gallary

Food Editor-at-Large, TheKitchn.com

Preston's Summary

Christine Gallary is the Food Editor-at-Large at TheKitchn.com. She specializes in food and beverages, with a focus on topics such as Thanksgiving, holidays, and Korean cuisine, as well as popular chains like Chipotle. Christine's work has been featured in Apartment Therapy Media, Greensboro News & Record, Richmond Times-Dispatch, Yahoo News, ReportWire, and The Epoch Times.

Preston is the artificial intelligence that powers the Intelligent Relations PR platform. Meet Preston

Coverage Attributes:

Beta
How To Guide: 36 %
Review: 19 %
Gift Guides: 19 %
Promotional Deal: 16 %
Seasonal: 7 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Food Production
  • Food Safety
  • Beverage Production
  • Food Waste
  • FoodTech

Pitching Insights

Christine Gallary's articles mainly focus on food, recipes, and cooking. She often provides how-to guides and reviews related to seasonal content in the areas of food and house & home. If you are an expert in these fields or have unique insights into specific recipes, cooking techniques, or seasonal food trends, your pitches may resonate well with her.

Considering Christine’s coverage attributes and themes covered, offering unique takes on classic dishes like Thanksgiving meals or providing insider tips for making popular recipes could be appealing to her readers. It is evident that Christine does not have a geographic focus but rather covers topics related to global cuisines and culinary practices.

This information evolves through artificial intelligence and human feedback. Improve this profile .

Journalists With Similar Coverage:

Based on similarity of content.
Publications
Most recent topics
Not enough data
Kelli Foster
Senior Contributing Food Editor
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data