Heidi S. Erickson
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Oncology top 10%
- Cancer Research top 5%
- Hematology top 10%
- Co-authors
- Michael R. Emmert‐BuckIgnacio I. WistubaRodrigo ChuaquiJohn W. GillespieJaime Rodriguez‐CanalesFaye M. JohnsonMichael A. TangreaJeffrey Tyner
- Topics
- Molecular Biology Techniques and Applications (8 papers)Gene expression and cancer classification (6 papers)Prostate Cancer Treatment and Research (5 papers)
- Cited by
- Cancer ResearchOncologyHematology
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaBlood
- Partner nations
- United StatesChileNetherlands
In The Last Decade
Heidi S. Erickson
34 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 704
- Pulmonary and Respiratory Medicine 344
- Oncology 341
- Cancer Research 313
- Hematology 137
Countries citing papers authored by Heidi S. Erickson
This map shows the geographic impact of Heidi S. Erickson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Heidi S. Erickson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heidi S. Erickson more than expected).
Fields of papers citing papers by Heidi S. Erickson
This network shows the impact of papers produced by Heidi S. Erickson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Heidi S. Erickson. The network helps show where Heidi S. Erickson may publish in the future.
Co-authorship network of co-authors of Heidi S. Erickson
This figure shows the co-authorship network connecting the top 25 collaborators of Heidi S. Erickson. A scholar is included among the top collaborators of Heidi S. Erickson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Heidi S. Erickson. Heidi S. Erickson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 84 | |
| 6 | 8 | |
| 7 | 28 | |
| 8 | 130 | |
| 9 | 39 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 77 | |
| 13 | 35 | |
| 14 | 18 | |
| 15 | 8 | |
| 16 | 35 | |
| 17 | 34 | |
| 18 | 137 | |
| 19 | 15 | |
| 20 | 13 |
About Heidi S. Erickson
Heidi S. Erickson is a scholar working on Cancer Research, Genetics and Hematology, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (8 papers), Gene expression and cancer classification (6 papers) and Prostate Cancer Treatment and Research (5 papers). The work is most often cited by research in Cancer Research (313 citations), Oncology (341 citations) and Hematology (137 citations). Heidi S. Erickson has collaborated with scholars based in United States, Chile and Netherlands. Frequent co-authors include Michael R. Emmert‐Buck, Ignacio I. Wistuba, Rodrigo Chuaqui, John W. Gillespie, Jaime Rodriguez‐Canales, Faye M. Johnson, Michael A. Tangrea, Jeffrey Tyner, Brian Druker and Marc Loriaux. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.