Karey Shumansky
- Molecular Biology
- Oncology top 10%
- Pathology and Forensic Medicine top 5%
- Immunology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Randy D. GascoyneJoseph M. ConnorsPedro FarinhaRichard KlasaHamid MasoudiKaramjit GillBrian SkinniderJohn J. Spinelli
- Topics
- Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers)Asthma and respiratory diseases (5 papers)Pediatric health and respiratory diseases (3 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Karey Shumansky
20 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 495
- Oncology 369
- Pathology and Forensic Medicine 345
- Immunology 303
- Pulmonary and Respiratory Medicine 268
Countries citing papers authored by Karey Shumansky
This map shows the geographic impact of Karey Shumansky'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 Karey Shumansky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karey Shumansky more than expected).
Fields of papers citing papers by Karey Shumansky
This network shows the impact of papers produced by Karey Shumansky. 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 Karey Shumansky. The network helps show where Karey Shumansky may publish in the future.
Co-authorship network of co-authors of Karey Shumansky
This figure shows the co-authorship network connecting the top 25 collaborators of Karey Shumansky. A scholar is included among the top collaborators of Karey Shumansky 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 Karey Shumansky. Karey Shumansky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 3 | |
| 3 | Associations of interleukin-1 gene cluster polymorphisms with C-reactive protein concentration and lung function decline in smoking-induced chronic obstructive pulmonary disease. | 6 |
| 4 | 41 | |
| 5 | 110 | |
| 6 | 1 | |
| 7 | 31 | |
| 8 | 43 | |
| 9 | 197 | |
| 10 | 152 | |
| 11 | 32 | |
| 12 | 25 | |
| 13 | 28 | |
| 14 | 97 | |
| 15 | 37 | |
| 16 | 15 | |
| 17 | 35 | |
| 18 | The architectural pattern of FOXP3(+) T cells is an independent predictor of survival in patients with follicular lymphoma (FL) | 6 |
| 19 | 376 | |
| 20 | 8 |
About Karey Shumansky
Karey Shumansky is a scholar working on Issues, ethics and legal aspects, Emergency Medical Services and Pathology and Forensic Medicine, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), Asthma and respiratory diseases (5 papers) and Pediatric health and respiratory diseases (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (345 citations), Cancer Research (243 citations) and Immunology (303 citations). Karey Shumansky has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Randy D. Gascoyne, Joseph M. Connors, Pedro Farinha, Richard Klasa, Hamid Masoudi, Karamjit Gill, Brian Skinnider, John J. Spinelli, Sohrab P. Shah and Peter D. Paré. Their work appears in journals such as Journal of Clinical Oncology, Blood and PLoS ONE.
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.