Devin Dressman
- Molecular Biology top 5%
- Cancer Research top 1%
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Bert VogelsteinKenneth W. KinzlerFrank DiehlGiovanni TraversoHai YanLuis A. DíazYiping HeEric P. Hoffman
- Topics
- Muscle Physiology and Disorders (5 papers)Cancer Immunotherapy and Biomarkers (5 papers)Virus-based gene therapy research (4 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Devin Dressman
18 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 1.8k
- Cancer Research 1.5k
- Oncology 762
- Pulmonary and Respiratory Medicine 621
- Pathology and Forensic Medicine 459
Countries citing papers authored by Devin Dressman
This map shows the geographic impact of Devin Dressman'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 Devin Dressman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devin Dressman more than expected).
Fields of papers citing papers by Devin Dressman
This network shows the impact of papers produced by Devin Dressman. 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 Devin Dressman. The network helps show where Devin Dressman may publish in the future.
Co-authorship network of co-authors of Devin Dressman
This figure shows the co-authorship network connecting the top 25 collaborators of Devin Dressman. A scholar is included among the top collaborators of Devin Dressman 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 Devin Dressman. Devin Dressman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 49 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 398 | |
| 7 | 23 | |
| 8 | 216 | |
| 9 | 382 | |
| 10 | Detection and quantification of mutations in the plasma of patients with colorectal tumorsbreakdown → | 939 |
| 11 | X-linked lethal infantile (XL)-SMA: new clinical information, variant phenotypes, and candidate disease gene studies. | 1 |
| 12 | Overexpression of the EGFR/FKBP12/HIF-2alpha pathway identified in childhood astrocytomas by angiogenesis gene profiling. | 106 |
| 13 | Transforming single DNA molecules into fluorescent magnetic particles for detection and enumeration of genetic variationsbreakdown → | 591 |
| 14 | 91 | |
| 15 | 44 | |
| 16 | 69 | |
| 17 | 1 | |
| 18 | 18 | |
| 19 | 81 | |
| 20 | 92 |
About Devin Dressman
Devin Dressman is a scholar working on Genetics, Cancer Research and Molecular Biology, having authored 20 papers that have together received 3.1k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (5 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Cancer Research (1.5k citations), Oncology (762 citations) and Molecular Biology (1.8k citations). Devin Dressman has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Bert Vogelstein, Kenneth W. Kinzler, Frank Diehl, Giovanni Traverso, Hai Yan, Luis A. Díaz, Yiping He, Eric P. Hoffman, Kerstin A. David and Meng Li. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.