Monica A. Menz
- Plant Science top 2%
- Genetics top 2%
- Agronomy and Crop Science top 2%
- Molecular Biology
- Endocrinology top 5%
- Co-authors
- Robert R. KleinPatricia E. KleinJohn E. MulletYehoshua SarangaRobert WrightWilliam L. RooneyDavid M. StellyChunxiao Jiang
- Topics
- Genetic Mapping and Diversity in Plants and Animals (13 papers)Plant Disease Resistance and Genetics (9 papers)Wheat and Barley Genetics and Pathology (8 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Monica A. Menz
30 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 56
- Plant Science 1.4k
- Genetics 738
- Agronomy and Crop Science 325
- Molecular Biology 240
- Endocrinology 107
Countries citing papers authored by Monica A. Menz
This map shows the geographic impact of Monica A. Menz'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 Monica A. Menz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monica A. Menz more than expected).
Fields of papers citing papers by Monica A. Menz
This network shows the impact of papers produced by Monica A. Menz. 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 Monica A. Menz. The network helps show where Monica A. Menz may publish in the future.
Co-authorship network of co-authors of Monica A. Menz
This figure shows the co-authorship network connecting the top 25 collaborators of Monica A. Menz. A scholar is included among the top collaborators of Monica A. Menz 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 Monica A. Menz. Monica A. Menz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 96 | |
| 2 | 156 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | Linkage Mapping of Resistance to Reniform Nematode in Cotton following Introgression from (Hutch. & Lee) | 4 |
| 6 | 22 | |
| 7 | 19 | |
| 8 | 26 | |
| 9 | 60 | |
| 10 | 1 | |
| 11 | Introgression of Resistance to Nematode into Upland Cotton () from | 4 |
| 12 | 12 | |
| 13 | 20 | |
| 14 | Sorghum and the genetic basis of drought tolerance | 2 |
| 15 | 21 | |
| 16 | 215 | |
| 17 | 171 | |
| 18 | 72 | |
| 19 | 75 | |
| 20 | 127 |
About Monica A. Menz
Monica A. Menz is a scholar working on Plant Science, Genetics and Agronomy and Crop Science, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (13 papers), Plant Disease Resistance and Genetics (9 papers) and Wheat and Barley Genetics and Pathology (8 papers). The work is most often cited by research in Plant Science (1.4k citations), Agronomy and Crop Science (325 citations) and Genetics (738 citations). Monica A. Menz has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Robert R. Klein, Patricia E. Klein, John E. Mullet, Yehoshua Saranga, Robert Wright, William L. Rooney, David M. Stelly, Chunxiao Jiang, Dan Yakir and Andrew H. Paterson. Their work appears in journals such as Genetics, Genome Research and Genome biology.
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.