F Lanau

546 total citations
10 papers, 454 citations indexed

About

F Lanau is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience. According to data from OpenAlex, F Lanau has authored 10 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in F Lanau's work include Growth Hormone and Insulin-like Growth Factors (4 papers), Retinoids in leukemia and cellular processes (2 papers) and Receptor Mechanisms and Signaling (2 papers). F Lanau is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (4 papers), Retinoids in leukemia and cellular processes (2 papers) and Receptor Mechanisms and Signaling (2 papers). F Lanau collaborates with scholars based in United States, Switzerland and France. F Lanau's co-authors include Charles T. Roberts, Deborah Hartman, Olivier Civelli, Marie‐Thérèse Zenner, Martin L. Adamo, Derek LeRoith, Haim Werner, Derek LeRoith, Joshua Shemer and Jin‐Chung Chen and has published in prestigious journals such as Journal of Clinical Investigation, Endocrinology and Journal of Neurochemistry.

In The Last Decade

F Lanau

10 papers receiving 449 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
F Lanau United States 9 208 204 91 68 61 10 454
Olivier Gardon France 5 242 1.2× 91 0.4× 184 2.0× 39 0.6× 35 0.6× 6 520
Cheryl L. Chernicky United States 12 404 1.9× 304 1.5× 114 1.3× 96 1.4× 149 2.4× 23 829
Pierfrancesco Vargiu Spain 13 328 1.6× 84 0.4× 207 2.3× 73 1.1× 31 0.5× 18 593
R. Plaetke United States 11 158 0.8× 75 0.4× 40 0.4× 186 2.7× 33 0.5× 18 423
Michael Ricketts United States 11 188 0.9× 70 0.3× 106 1.2× 80 1.2× 11 0.2× 20 463
Iris Fuchs Germany 8 199 1.0× 145 0.7× 81 0.9× 401 5.9× 22 0.4× 13 581
Joachim Sauer Germany 15 116 0.6× 276 1.4× 54 0.6× 75 1.1× 67 1.1× 25 746
Léna Damaj France 11 186 0.9× 118 0.6× 78 0.9× 109 1.6× 11 0.2× 19 479
Aki Harada United States 10 393 1.9× 83 0.4× 18 0.2× 160 2.4× 71 1.2× 11 566
Jinfen Song United States 10 352 1.7× 342 1.7× 171 1.9× 50 0.7× 18 0.3× 13 838

Countries citing papers authored by F Lanau

Since Specialization
Citations

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

Fields of papers citing papers by F Lanau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F Lanau

This figure shows the co-authorship network connecting the top 25 collaborators of F Lanau. A scholar is included among the top collaborators of F Lanau 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 F Lanau. F Lanau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Lanau, F, et al.. (1997). Development and Characterization of Antibodies Against the N Terminus of the Human Dopamine D4 Receptor. Journal of Neurochemistry. 69(5). 2169–2178. 14 indexed citations
2.
Lanau, F, et al.. (1997). Diversity of dopamine receptors: new molecular and pharmacological developments.. PubMed. 49(4). 191–9. 17 indexed citations
3.
Lanau, F, Marie‐Thérèse Zenner, Olivier Civelli, & Deborah Hartman. (1997). Epinephrine and Norepinephrine Act as Potent Agonists at the Recombinant Human Dopamine D4 Receptor. Journal of Neurochemistry. 68(2). 804–812. 100 indexed citations
4.
Adamo, Martin L., F Lanau, Stefan Neuenschwander, et al.. (1993). Distinct promoters in the rat insulin-like growth factor-I (IGF-I) gene are active in CHO cells.. Endocrinology. 132(2). 935–937. 24 indexed citations
5.
LeRoith, Derek, Martin L. Adamo, Joshua Shemer, et al.. (1993). Retinoic acid inhibits growth of breast cancer cell lines: the role of insulin-like growth factor binding proteins.. PubMed. 3(1). 78–80. 8 indexed citations
6.
Eastman, R C, Richard E. Carson, David G. Orloff, et al.. (1992). Glucose utilization in a patient with hepatoma and hypoglycemia. Assessment by a positron emission tomography.. Journal of Clinical Investigation. 89(6). 1958–1963. 48 indexed citations
7.
LeRoith, Derek, Joshua Shemer, Bethel Stannard, et al.. (1992). Insulin-Like Growth Factors. Neurosignals. 1(4). 173–181. 93 indexed citations
8.
Foyt, Howard L., F Lanau, Michael Woloschak, Derek LeRoith, & Charles T. Roberts. (1992). Effect of growth hormone on levels of differentially processed insulin-like growth factor I mRNAs in total and polysomal mRNA populations.. Molecular Endocrinology. 6(11). 1881–1888. 34 indexed citations
10.
Chimini, Giovanna, Joëlle Boretto, Didier Marguet, et al.. (1990). Molecular analysis of the human MHC class I region using yeast artificial chromosome clones. Immunogenetics. 32(6). 419–26. 33 indexed citations

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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