According to Google Metrics, top 20 of the top 100 journals are (if you find the writing a bit small, I’ve put the top 25 further down in the article):
An introductory page outlines the indices used to rank the journals.
Note in particular that they’ve excluded very small journals. I’ve mixed feelings about that. On one hand they do have to draw a line somewhere. On the other, there are some small journals that there excellent; it also may be hard on smaller journals trying to get established or review journals which typical have few articles.
As an example, one of my favourite journals is Epigenetics and Chromatin (open access); it will likely be excluded because of it’s slim publication output yet is run by well-known figures in the field with fine papers and has a respectable impact factor of 4.73.
You’ll note from the example shown at the top that searching can be done in several languages.
You can search by keyword* to locate subsets of their rankings; I’ve shown the results for bioinformatics in the Footnotes.
Google suggests used this way it could be used to locate what journals to publish in. Readers could also try ‘asking’ JANE – or using that old standby of whatever journal you happen to read most for coverage of the topic you’re writing about!
* Best as I can tell there doesn’t seem to be a direct link to this searching mode yet, hence my use of this ‘malformed’ link for readers.
** Searching on ‘bioinformatics’, for example, gives top spots to Bioinformatics, BMC Bioinformatics, and Proteins: Structure, Function, and Bioinformatics. Searching on ‘computational biology’ draws a slimmer list, headed by PLoS Computational Biology.
Other articles on Code for life: