Understanding a scientist’s publication history and trajectory can offer a view into their career journey. It can also be motivational, aspirational, and reassuring, particularly for junior trainees. At present, for a given researcher, Google Scholar makes this hard to do because it lists all publications either chronologically, reverse chronologically, or by most cited, provides few global summary statistics (e.g., h-index), and a single 8-year history of the number of citations. We introduce ScholarTrends, an R Shiny application that produces seven interpretable graphics summarizing a scientist’s entire publication history. This tool adds transparency to a researcher’s trajectory and makes it more accessible to quickly understand a person’s publication trends.
As a leader in outcomes research, Dr. Harlan Krumholz is someone junior scientists may want to emulate. Let us visualize his publication history using ScholarTrends.
A demo video of the application applied to Dr. Krumholz’s profile.
The codebase and instructions for running this application on your local machine are available online (along with an explanation for why a public ScholarTrends webpage is not currently available).
We input Dr. Krumholz’s Google Scholar URL and are greeted with the following plots. Since 2023 publication data is not complete, all visualizations shown here extend till the end of 2022. First, we can plot the number of publications Dr. Krumholz has published each year, and cumulatively. Note that this only considers papers that are indexed on the internet. He published his first paper in 1989. Now, in 2023, he has published nearly 2,500 publications, and for over the past decade, has published a hundred papers each year