Matthew Haas
Impact in
- Plant Science top 10%
- Wheat and Barley Genetics and Pathology
- Mycotoxins in Agriculture and Food
- Plant-Microbe Interactions and Immunity
- Genetics and Plant Breeding
- Plant Disease Resistance and Genetics
Papers in
-
- Plant Disease Resistance and Genetics 5
- Wheat and Barley Genetics and Pathology 5
- Mycotoxins in Agriculture and Food 4
- Rice Cultivation and Yield Improvement 2
- Genetics 5
- Genetic Mapping and Diversity in Plants and Animals 5
- Genetic diversity and population structure 1
- Co-authors
- Martin Mascher (2 shared papers)Mona Schreiber (1 shared paper)Brian J. Steffenson (3 shared papers)H. Krauß (1 shared paper)Yadong Huang (2 shared papers)Hermann Willems (1 shared paper)D. Thiele (1 shared paper)Gary J. Muehlbauer (2 shared papers)
- Journals
- Theoretical and Applied Genetics (1 paper)European Journal of Epidemiology (1 paper)Frontiers in Plant Science (1 paper)Plant Breeding (1 paper)The Plant Journal (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Matthew Haas
11 papers receiving 220 citations
Peers
Comparison fields: 5 of 38
- Plant Science 180
- Agronomy and Crop Science 29
- Genetics 56
- Parasitology 13
- Cell Biology 32
Countries citing papers authored by Matthew Haas
This map shows the geographic impact of Matthew Haas'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 Haas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Haas more than expected).
Fields of papers citing papers by Matthew Haas
This network shows the impact of papers produced by Matthew Haas. 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 Haas. The network helps show where Matthew Haas may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Haas, 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 | 2018 | 90 | |
| 2 | 2018 | 30 | |
| 3 | 2013 | 23 | |
| 4 | 1994 | 22 | |
| 5 | 2020 | 13 | |
| 6 | 2016 | 13 | |
| 7 | 2021 | 12 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 6 | |
| 10 | 2019 | 6 | |
| 11 | 2016 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2023 | 0 |
About Matthew Haas
Matthew Haas is a scholar working on Plant Science, Genetics, Cell Biology, Molecular Biology and Agronomy and Crop Science, having authored 13 papers that have together received 223 indexed citations. Recurring topics across this work include Plant Disease Resistance and Genetics (5 papers), Wheat and Barley Genetics and Pathology (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Plant Pathogens and Fungal Diseases (4 papers), Mycotoxins in Agriculture and Food (4 papers), Rice Cultivation and Yield Improvement (2 papers), Crop Yield and Soil Fertility (1 paper) and Genetic diversity and population structure (1 paper). The work is most often cited by research in Plant Science (180 citations), Agronomy and Crop Science (29 citations), Genetics (56 citations), Parasitology (13 citations) and Cell Biology (32 citations). Matthew Haas has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Martin Mascher, Mona Schreiber, Brian J. Steffenson, H. Krauß, Yadong Huang, Hermann Willems, D. Thiele, Gary J. Muehlbauer, Kevin P. Smith and Shane Heinen. Their work appears in journals such as Theoretical and Applied Genetics, European Journal of Epidemiology, Frontiers in Plant Science, Plant Breeding and The Plant Journal.
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.