Matthew Weiland
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- S100 Proteins and Annexins
- Extracellular vesicles in disease
- Epigenetics and DNA Methylation
Papers in
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- Circular RNAs in diseases 2
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- Immunotherapy and Immune Responses 3
- Immune Cell Function and Interaction 2
- Galectins and Cancer Biology 1
- Co-authors
- Li Zhou (7 shared papers)Qing‐Sheng Mi (6 shared papers)Xing-Hua Gao (1 shared paper)Stefan Jovinge (4 shared papers)J Wahrendorf (1 shared paper)H Wiebelt (1 shared paper)G. Dhom (1 shared paper)Alexandru Șchiopu (1 shared paper)
- Journals
- Nature Communications (1 paper)Cell Reports (1 paper)The FASEB Journal (1 paper)International Immunopharmacology (1 paper)Genes and Immunity (1 paper)
- Partner nations
- United StatesChinaRomania
In The Last Decade
Matthew Weiland
16 papers receiving 609 citations
Peers
Comparison fields: 5 of 79
- Cancer Research 206
- Molecular Biology 296
- Immunology 78
- Oncology 84
- Biological Psychiatry 7
Countries citing papers authored by Matthew Weiland
This map shows the geographic impact of Matthew Weiland'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 Weiland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Weiland more than expected).
Fields of papers citing papers by Matthew Weiland
This network shows the impact of papers produced by Matthew Weiland. 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 Weiland. The network helps show where Matthew Weiland may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Weiland, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 224 | |
| 2 | 2019 | 120 | |
| 3 | 1993 | 70 | |
| 4 | 2020 | 66 | |
| 5 | 2012 | 34 | |
| 6 | 2015 | 20 | |
| 7 | 2013 | 17 | |
| 8 | 2019 | 14 | |
| 9 | 2022 | 13 | |
| 10 | 2016 | 12 | |
| 11 | 2013 | 10 | |
| 12 | 2010 | 8 | |
| 13 | 2024 | 4 | |
| 14 | 2016 | 3 | |
| 15 | 2020 | 1 | |
| 16 | Analysis of initial requests for information of non-exposure related topics at a regional poison center. | 1988 | 1 |
| 17 | 2025 | 0 | |
| 18 | 1995 | 0 |
About Matthew Weiland
Matthew Weiland is a scholar working on Molecular Biology, Immunology, Cancer Research, Surgery and Pathology and Forensic Medicine, having authored 18 papers that have together received 617 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Immunotherapy and Immune Responses (3 papers), Circular RNAs in diseases (2 papers), Immune Cell Function and Interaction (2 papers), Cancer-related molecular mechanisms research (2 papers), Galectins and Cancer Biology (1 paper), Diabetes and associated disorders (1 paper) and Urological Disorders and Treatments (1 paper). The work is most often cited by research in Cancer Research (206 citations), Molecular Biology (296 citations), Immunology (78 citations), Oncology (84 citations) and Biological Psychiatry (7 citations). Matthew Weiland has collaborated with scholars based in United States, China and Romania. Frequent co-authors include Li Zhou, Qing‐Sheng Mi, Xing-Hua Gao, Stefan Jovinge, J Wahrendorf, H Wiebelt, G. Dhom, Alexandru Șchiopu, Lukas Tomas and Goran Marinković. Their work appears in journals such as Nature Communications, Cell Reports, The FASEB Journal, International Immunopharmacology and Genes and Immunity.
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.