Anne Gansmüller

5.8k citations
22 papers · 4.8k indexed · 4 hit papers · h-index 20

Impact in

Papers in

Anne Gansmüller

22 papers receiving 4.7k citations

Hit Papers

Effect of single and compound knockouts of estrogen receptors α (ERα) and β (ERβ) on mouse reproductive phenotypes 2000 · 857 citations
8571994202620042015250500750

Peers

Anne Gansmüller
Comparison fields: 5 of 108
  • Aging 270
  • Reproductive Medicine 806
  • Genetics 1.7k
  • Molecular Biology 3.0k
  • Developmental Neuroscience 136
Replace Austin J. Cooney with:
Austin J. Cooney United States
John D. Gearhart United States
Mark Lewandoski United States
Hitoshi Niwa Japan
M. Graziella Persico Italy
José M. Polo Australia
E. Bryan Crenshaw United States
Christel Brou France
Akihiko Okuda Japan
Anne K. Voss Australia
Anne Gansmüller relative to Austin J. Cooney United States Austin J. Cooney's profile →
Citations per field
00.5×1.5×2.3×
Austin J. Cooney · 1×
Citations per year

Countries citing papers authored by Anne Gansmüller

Since Specialization
Citations

This map shows the geographic impact of Anne Gansmüller'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 Anne Gansmüller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Gansmüller more than expected).

Fields of papers citing papers by Anne Gansmüller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne Gansmüller. 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 Anne Gansmüller. The network helps show where Anne Gansmüller may publish in the future.

Co-authors

The 25 scholars most cited alongside Anne Gansmüller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anne Gansmüller Line = papers co-authored together Anne Gansmüller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2006130
2 2005144
3 2005162
4 2004151
5 200465
6 2003127
7 2002100
8 200267
9 200136
10 200073
11 2000156
12 199913
13 199989
14 1999313
15 1998252
16 1997109
17 199691
18
Genetic analysis of RXRα developmental function: Convergence of RXR and RAR signaling pathways in heart and eye morphogenesis
Hit paper breakdown →
1994562
19
Function of the retinoic acid receptors (RARs) during development: (I) Craniofacial and skeletal abnormalities in RAR double mutants
Hit paper breakdown →
1994635
20 199110

About Anne Gansmüller

Anne Gansmüller is a scholar working on Aging, Reproductive Medicine, Endocrine and Autonomic Systems, Developmental Neuroscience and Molecular Biology, having authored 22 papers that have together received 4.8k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Reproductive Biology and Fertility (3 papers), Sperm and Testicular Function (3 papers), Estrogen and related hormone effects (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Retinoids in leukemia and cellular processes (3 papers), Genomics and Chromatin Dynamics (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Aging (270 citations), Reproductive Medicine (806 citations), Genetics (1.7k citations), Molecular Biology (3.0k citations) and Developmental Neuroscience (136 citations). Anne Gansmüller has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Andrée Dierich, Manuel Mark, Pierre Chambon, Manuel Mark, Marianne LeMeur, Pascal Dollé, Sonia Dupont, Andrée Krust, P. Chambón and Paolo Sassone‐Corsi. Their work appears in journals such as Development, Proceedings of the National Academy of Sciences, Current Biology, Journal of Cell Science and The Journal of Cell 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.

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