Troy H. Guthrie
- Oncology top 1%
- Molecular Biology top 10%
- Epidemiology top 5%
- Immunology top 5%
- Genetics top 1%
- Co-authors
- Steven O’DayL. ThomasJose LutzkyWilliam WaterfieldKun ChenGerald P. LinetteJean‐Jacques GrobSylvie Négrier
- Topics
- Cancer Treatment and Pharmacology (10 papers)Monoclonal and Polyclonal Antibodies Research (9 papers)Lymphoma Diagnosis and Treatment (9 papers)
- Cited by
- OncologyGeneticsHematology
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Troy H. Guthrie
68 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Oncology 2.0k
- Molecular Biology 908
- Epidemiology 779
- Immunology 776
- Genetics 727
Countries citing papers authored by Troy H. Guthrie
This map shows the geographic impact of Troy H. Guthrie'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 Troy H. Guthrie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Troy H. Guthrie more than expected).
Fields of papers citing papers by Troy H. Guthrie
This network shows the impact of papers produced by Troy H. Guthrie. 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 Troy H. Guthrie. The network helps show where Troy H. Guthrie may publish in the future.
Co-authorship network of co-authors of Troy H. Guthrie
This figure shows the co-authorship network connecting the top 25 collaborators of Troy H. Guthrie. A scholar is included among the top collaborators of Troy H. Guthrie 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 Troy H. Guthrie. Troy H. Guthrie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 14 | |
| 3 | 51 | |
| 4 | Crizanlizumab for the Prevention of Pain Crises in Sickle Cell Diseasebreakdown → | 595 |
| 5 | 29 | |
| 6 | Ipilimumab monotherapy in patients with pretreated advanced melanoma: a randomised, double-blind, multicentre, phase 2, dose-ranging studybreakdown → | 934 |
| 7 | Randomized Phase III Trial Comparing Irinotecan/Cisplatin With Etoposide/Cisplatin in Patients With Previously Untreated Extensive-Stage Disease Small-Cell Lung Cancerbreakdown → | 500 |
| 8 | 49 | |
| 9 | 17 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 39 | |
| 13 | 83 | |
| 14 | 133 | |
| 15 | 36 | |
| 16 | 5 | |
| 17 | 39 | |
| 18 | 30 | |
| 19 | 76 | |
| 20 | 26 |
About Troy H. Guthrie
Troy H. Guthrie is a scholar working on Hematology, Genetics and Oncology, having authored 69 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Lymphoma Diagnosis and Treatment (9 papers). The work is most often cited by research in Oncology (2.0k citations), Genetics (727 citations) and Hematology (703 citations). Troy H. Guthrie has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Steven O’Day, L. Thomas, Jose Lutzky, William Waterfield, Kun Chen, Gerald P. Linette, Jean‐Jacques Grob, Sylvie Négrier, Kevin M. Chin and Axel Hoos. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology 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.