Matthew J. Marton
- Molecular Biology top 0.5%
- Cancer Research top 0.5%
- Oncology top 1%
- Genetics top 1%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Hongyue DaiStephen FriendYudong D. HeLaura van ‘t VeerRené BernardsMao MaoRon KerkhovenK van der Kooy
- Topics
- Cancer Genomics and Diagnostics (11 papers)Cancer Immunotherapy and Biomarkers (10 papers)Molecular Biology Techniques and Applications (7 papers)
- Partner nations
- United StatesDenmarkUnited Kingdom
In The Last Decade
Matthew J. Marton
42 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Molecular Biology 7.5k
- Cancer Research 2.8k
- Oncology 2.5k
- Genetics 1.4k
- Pulmonary and Respiratory Medicine 767
Countries citing papers authored by Matthew J. Marton
This map shows the geographic impact of Matthew J. Marton'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 Matthew J. Marton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Marton more than expected).
Fields of papers citing papers by Matthew J. Marton
This network shows the impact of papers produced by Matthew J. Marton. 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 Matthew J. Marton. The network helps show where Matthew J. Marton may publish in the future.
Co-authorship network of co-authors of Matthew J. Marton
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Marton. A scholar is included among the top collaborators of Matthew J. Marton 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 Matthew J. Marton. Matthew J. Marton 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 | 5 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 41 | |
| 6 | 12 | |
| 7 | 3 | |
| 8 | 50 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | 14 | |
| 12 | 57 | |
| 13 | 166 | |
| 14 | 54 | |
| 15 | 94 | |
| 16 | 384 | |
| 17 | Drug target validation and identification of secondary drug target effects using DNA microarraysbreakdown → | 479 |
| 18 | 12 | |
| 19 | 184 | |
| 20 | COUNTERACTION TO AND PREVENTION OF, DIFFERENT ANXIETY TYPES IN ASTHMATIC, CARDIAC NEUROTIC AND HYPERTENSIVE CHILDREN. | 2 |
About Matthew J. Marton
Matthew J. Marton is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 45 papers that have together received 10.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Cancer Immunotherapy and Biomarkers (10 papers) and Molecular Biology Techniques and Applications (7 papers). The work is most often cited by research in Cancer Research (2.8k citations), Molecular Biology (7.5k citations) and Oncology (2.5k citations). Matthew J. Marton has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Hongyue Dai, Stephen Friend, Yudong D. He, Laura van ‘t Veer, René Bernards, Mao Mao, Ron Kerkhoven, K van der Kooy, Hans Peterse and George J. Schreiber. Their work appears in journals such as Nature, Science 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.