Open the key study's record in a scholarly database that provides a cited-by link, then use that link to list the papers citing it and screen each abstract before adding it to your set. Google Scholar documents cited-by links as part of its search features, and Semantic Scholar's Academic Graph API provides citation data for papers, so either can serve as a starting point for building the citing-paper list.
- Locate the seed paper's record. Search by the exact title in quotation marks, which Google Scholar documents as a title-search technique, and confirm you have the correct study before following any citation link. Expected result: a single record matching your key study.
- Follow the cited-by link. On the record, open the cited-by list to see papers that cite the seed study. Expected result: a list of citing papers you can now narrow.
- Filter by date. Sort or restrict the list to recent years so the follow-ups most relevant to current work appear first. Google Scholar documents date sorting, and Europe PMC supports fielded searches that can constrain results by date. Expected result: a shorter list weighted toward recent follow-ups.
- Filter by topic. Add topic terms to narrow the citing list to the line of work you are building on. Europe PMC supports keyword and fielded searches across life-science literature, which helps when the seed paper sits in that literature. Expected result: citing papers that share your topic focus.
- Screen each abstract. Read the abstract of every remaining citing paper and keep only those that actually extend, test, or apply the seed study. Expected result: a curated set of follow-ups rather than an unfiltered citation list.
For a broader sweep, Europe PMC also supports searches across citations and references, and Semantic Scholar offers citation and recommendation APIs, so you can cross-check the citing list against a second source. Treat any paper that appears in one list but not another as unresolved and verify it directly before relying on it.