Anne M. Latour
- Molecular Biology top 5%
- Oncology top 5%
- Genetics top 2%
- Pulmonary and Respiratory Medicine top 5%
- Surgery top 10%
- Co-authors
- Beverly H. KollerJohn N. SnouwaertOliver SmithiesNadia N. MaloufRichard C. BoucherSteven A. KliewerBryan GoodwinLori C. Gowen
- Topics
- Pluripotent Stem Cells Research (3 papers)Adenosine and Purinergic Signaling (3 papers)Neuropeptides and Animal Physiology (3 papers)
- Cited by
- PhysiologyPharmacologyOncology
- Partner nations
- United StatesSouth KoreaRussia
In The Last Decade
Anne M. Latour
20 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 1.5k
- Oncology 916
- Genetics 723
- Pulmonary and Respiratory Medicine 654
- Surgery 493
Countries citing papers authored by Anne M. Latour
This map shows the geographic impact of Anne M. Latour'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 M. Latour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne M. Latour more than expected).
Fields of papers citing papers by Anne M. Latour
This network shows the impact of papers produced by Anne M. Latour. 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 M. Latour. The network helps show where Anne M. Latour may publish in the future.
Co-authorship network of co-authors of Anne M. Latour
This figure shows the co-authorship network connecting the top 25 collaborators of Anne M. Latour. A scholar is included among the top collaborators of Anne M. Latour 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 Anne M. Latour. Anne M. Latour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 12 | |
| 3 | 12 | |
| 4 | 21 | |
| 5 | 30 | |
| 6 | 1 | |
| 7 | 23 | |
| 8 | 1 | |
| 9 | 53 | |
| 10 | 18 | |
| 11 | 244 | |
| 12 | The nuclear receptor PXR is a lithocholic acid sensor that protects against liver toxicitybreakdown → | 1106 |
| 13 | 265 | |
| 14 | 325 | |
| 15 | 160 | |
| 16 | 99 | |
| 17 | 374 | |
| 18 | 46 | |
| 19 | An Animal Model for Cystic Fibrosis Made by Gene Targetingbreakdown → | 744 |
| 20 | 29 |
About Anne M. Latour
Anne M. Latour is a scholar working on Physiology, Immunology and Molecular Biology, having authored 20 papers that have together received 3.6k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (3 papers), Adenosine and Purinergic Signaling (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Physiology (408 citations), Pharmacology (491 citations) and Oncology (916 citations). Anne M. Latour has collaborated with scholars based in United States, South Korea and Russia. Frequent co-authors include Beverly H. Koller, John N. Snouwaert, Oliver Smithies, Nadia N. Malouf, Richard C. Boucher, Steven A. Kliewer, Bryan Goodwin, Lori C. Gowen, Timothy M. Willson and Jeff L. Staudinger. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.