We iterated through the file with multiple regular expression passes to strip out as much non-author text as possible also splitting multiple author lines into individual records. The text was examined for common text patterns for removal and to parse the file down to a regular form of ID \t singleName

the resultant file (5.9MB, 373,340 lines) was input into a mySQL table and the table at left generated with

select author, count(author) as cnt from authors group by author having count(author) > 100 order by cnt desc.