I have a data where I am testing the effect of some independent variables on the count of a dependent variable. So I did a Poisson regression and got the following results.

In the above table, all my correlations seem significant, except from var1. My issue is how to interpret these results. I am trying to compare the effects of my independent variables and I am not sure how the results can help me with that. For example, can I say that var3 is more correlated than var2 since its negative coefficient is smaller. Similarly, can I say that var4 is more correlated with the dependent variable than var5. Besides, what would be a good coefficient? Are there any commonly used ranges for strong, weak and mild correlations (like the ones for Pearson Correlation or Cohen D)? Do I need to calculate an effect size to rank my variables instead of using the coefficient? If yes, which one is the more suited with Poisson Regression (I am not sure if Cohen D would be a good fit here).

Thanks for your help.