Michelle A. Detry
- Genetics top 1%
- Pathology and Forensic Medicine top 2%
- Surgery top 10%
- Molecular Biology
- Immunology top 10%
- Co-authors
- Yan MaAshish M. KamatJacqueline WiltshireEarlise WardSusan O’BrienMichael J. KeatingHagop M. KantarjianStefan Faderl
- Topics
- Chronic Lymphocytic Leukemia Research (6 papers)Receptor Mechanisms and Signaling (4 papers)Lymphoma Diagnosis and Treatment (4 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Michelle A. Detry
44 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Genetics 734
- Pathology and Forensic Medicine 640
- Surgery 515
- Molecular Biology 482
- Immunology 395
Countries citing papers authored by Michelle A. Detry
This map shows the geographic impact of Michelle A. Detry'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 Michelle A. Detry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle A. Detry more than expected).
Fields of papers citing papers by Michelle A. Detry
This network shows the impact of papers produced by Michelle A. Detry. 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 Michelle A. Detry. The network helps show where Michelle A. Detry may publish in the future.
Co-authorship network of co-authors of Michelle A. Detry
This figure shows the co-authorship network connecting the top 25 collaborators of Michelle A. Detry. A scholar is included among the top collaborators of Michelle A. Detry 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 Michelle A. Detry. Michelle A. Detry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 19 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 10 | |
| 7 | 2 | |
| 8 | 190 | |
| 9 | 8 | |
| 10 | 53 | |
| 11 | 32 | |
| 12 | 10 | |
| 13 | 9 | |
| 14 | 37 | |
| 15 | 187 | |
| 16 | 4 | |
| 17 | Healthy Growth: project description and baseline findings. | 13 |
| 18 | 10 | |
| 19 | Dietary intake of isothiocyanates: evidence of a joint effect with glutathione S-transferase polymorphisms in lung cancer risk. | 184 |
| 20 | 1 |
About Michelle A. Detry
Michelle A. Detry is a scholar working on Genetics, Statistics and Probability and Cancer Research, having authored 45 papers that have together received 2.7k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (6 papers), Receptor Mechanisms and Signaling (4 papers) and Lymphoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Genetics (734 citations), Pathology and Forensic Medicine (640 citations) and Applied Microbiology and Biotechnology (61 citations). Michelle A. Detry has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Yan Ma, Ashish M. Kamat, Jacqueline Wiltshire, Earlise Ward, Susan O’Brien, Michael J. Keating, Hagop M. Kantarjian, Stefan Faderl, William G. Wierda and Jörge E. Cortes. Their work appears in journals such as The Lancet, JAMA and Journal of Clinical Oncology.
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.