M. Brancourt‐Hulmel
- Plant Science top 5%
- Agronomy and Crop Science top 2%
- Genetics
- Soil Science top 10%
- Ecology, Evolution, Behavior and Systematics
- Co-authors
- Christophe LecomteMaxime TrottetGérard DoussinaultPierre BérardBernard Le BuanecJ.B. DenisEmmanuel HeumezNathalie Galic
- Topics
- Wheat and Barley Genetics and Pathology (9 papers)Genetics and Plant Breeding (7 papers)Crop Yield and Soil Fertility (6 papers)
In The Last Decade
M. Brancourt‐Hulmel
11 papers receiving 536 citations
Peers
Comparison fields: 5 of 32
- Plant Science 559
- Agronomy and Crop Science 350
- Genetics 116
- Soil Science 58
- Ecology, Evolution, Behavior and Systematics 38
Countries citing papers authored by M. Brancourt‐Hulmel
This map shows the geographic impact of M. Brancourt‐Hulmel'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 M. Brancourt‐Hulmel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Brancourt‐Hulmel more than expected).
Fields of papers citing papers by M. Brancourt‐Hulmel
This network shows the impact of papers produced by M. Brancourt‐Hulmel. 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 M. Brancourt‐Hulmel. The network helps show where M. Brancourt‐Hulmel may publish in the future.
Co-authorship network of co-authors of M. Brancourt‐Hulmel
This figure shows the co-authorship network connecting the top 25 collaborators of M. Brancourt‐Hulmel. A scholar is included among the top collaborators of M. Brancourt‐Hulmel 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 M. Brancourt‐Hulmel. M. Brancourt‐Hulmel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | Genetic analysis of wheat nitrogen use efficiency: coincidence between QTL for agronomical and physiological traits | 5 |
| 3 | 8 | |
| 4 | Yield and grain protein concentration in bread wheat: a review and a study of multi-annual data from a French breeding program [Triticum aestivum L.] | 11 |
| 5 | Yield and grain protein concentration in bread wheat : a review and a study of multi-annual data from a French breeding program | 70 |
| 6 | 77 | |
| 7 | 310 | |
| 8 | 36 | |
| 9 | 7 | |
| 10 | 29 | |
| 11 | 27 |
About M. Brancourt‐Hulmel
M. Brancourt‐Hulmel is a scholar working on Agronomy and Crop Science, Plant Science and General Agricultural and Biological Sciences, having authored 11 papers that have together received 585 indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (9 papers), Genetics and Plant Breeding (7 papers) and Crop Yield and Soil Fertility (6 papers). The work is most often cited by research in Agronomy and Crop Science (350 citations), Plant Science (559 citations) and Soil Science (58 citations). M. Brancourt‐Hulmel has collaborated with scholars based in France, Morocco and China. Frequent co-authors include Christophe Lecomte, Maxime Trottet, Gérard Doussinault, Pierre Bérard, Bernard Le Buanec, J.B. Denis, Emmanuel Heumez, Nathalie Galic, Bernard Rolland and P. Pluchard. Their work appears in journals such as Theoretical and Applied Genetics, Crop Science and Journal of Crop Improvement.
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.