Daniel Boujard
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Aquatic Science top 2%
- Genetics
- Immunology
- Co-authors
- Gilles BœufFranck ChesnelGeorgette BonnecJaume Pérez‐SánchezJosep À. Calduch-GinerLaurent Richard‐ParpaillonPascal CoumailleauChristophe Héligon
- Topics
- Growth Hormone and Insulin-like Growth Factors (10 papers)Reproductive Biology and Fertility (6 papers)Animal Genetics and Reproduction (5 papers)
- Journals
- PLoS ONEDevelopmentBrain Research
- Partner nations
- FranceSpainSwitzerland
In The Last Decade
Daniel Boujard
26 papers receiving 640 citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 239
- Endocrinology, Diabetes and Metabolism 215
- Aquatic Science 165
- Genetics 157
- Immunology 87
Countries citing papers authored by Daniel Boujard
This map shows the geographic impact of Daniel Boujard'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 Daniel Boujard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Boujard more than expected).
Fields of papers citing papers by Daniel Boujard
This network shows the impact of papers produced by Daniel Boujard. 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 Daniel Boujard. The network helps show where Daniel Boujard may publish in the future.
Co-authorship network of co-authors of Daniel Boujard
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Boujard. A scholar is included among the top collaborators of Daniel Boujard 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 Daniel Boujard. Daniel Boujard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 32 | |
| 3 | 33 | |
| 4 | 4 | |
| 5 | 68 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 71 | |
| 9 | 85 | |
| 10 | 50 | |
| 11 | 72 | |
| 12 | 9 | |
| 13 | The midbrain-hindbrain boundary genetic cascade is activated ectopically in the diencephalon in response to the widespread expression of one of its components, the medaka gene Ol-eng2. | 1 |
| 14 | 34 | |
| 15 | 2 | |
| 16 | 29 | |
| 17 | 31 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 14 |
About Daniel Boujard
Daniel Boujard is a scholar working on Aging, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 27 papers that have together received 657 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (10 papers), Reproductive Biology and Fertility (6 papers) and Animal Genetics and Reproduction (5 papers). The work is most often cited by research in Aquatic Science (165 citations), Physiology (62 citations) and Endocrinology, Diabetes and Metabolism (215 citations). Daniel Boujard has collaborated with scholars based in France, Spain and Switzerland. Frequent co-authors include Gilles Bœuf, Franck Chesnel, Georgette Bonnec, Jaume Pérez‐Sánchez, Josep À. Calduch-Giner, Laurent Richard‐Parpaillon, Pascal Coumailleau, Christophe Héligon, Anna Philpott and Jacques Wolff. Their work appears in journals such as PLoS ONE, Development and Brain Research.
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.