Luisa Pipolo

548 total citations
9 papers, 472 citations indexed

About

Luisa Pipolo is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Luisa Pipolo has authored 9 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Luisa Pipolo's work include Receptor Mechanisms and Signaling (7 papers), Renin-Angiotensin System Studies (6 papers) and Neuropeptides and Animal Physiology (4 papers). Luisa Pipolo is often cited by papers focused on Receptor Mechanisms and Signaling (7 papers), Renin-Angiotensin System Studies (6 papers) and Neuropeptides and Animal Physiology (4 papers). Luisa Pipolo collaborates with scholars based in Australia and United States. Luisa Pipolo's co-authors include Walter G. Thomas, Hongwei Qian, James Ziogas, Bridget R. Southwell, Shin-ichiro Miura, Sadashiva S. Karnik, Michael J. Lew, Ross D. Hannan, Eunice Yang and Döne Onan and has published in prestigious journals such as Biochemical Journal, FEBS Letters and British Journal of Pharmacology.

In The Last Decade

Luisa Pipolo

9 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luisa Pipolo Australia	9	356	202	186	79	70	9	472
Brian J. Holleran Canada	14	327 0.9×	71 0.4×	205 1.1×	82 1.0×	60 0.9×	30	457
Sandrine Nouet France	7	475 1.3×	341 1.7×	136 0.7×	27 0.3×	40 0.6×	9	639
Suma I. Shimuta Brazil	14	285 0.8×	171 0.8×	112 0.6×	19 0.2×	47 0.7×	34	479
Pierre‐Yves Jean‐Charles United States	11	482 1.4×	81 0.4×	203 1.1×	46 0.6×	21 0.3×	16	615
B Teutsch France	8	334 0.9×	246 1.2×	141 0.8×	17 0.2×	25 0.4×	13	443
Hans Peter Maerki Switzerland	9	234 0.7×	64 0.3×	109 0.6×	39 0.5×	18 0.3×	9	417
C. Blake Nichols United States	10	495 1.4×	262 1.3×	124 0.7×	29 0.4×	19 0.3×	12	603
Christopher J. Hupfeld United States	12	580 1.6×	63 0.3×	154 0.8×	100 1.3×	31 0.4×	15	765
PA Stevens United Kingdom	9	207 0.6×	143 0.7×	77 0.4×	20 0.3×	62 0.9×	11	419
J.C. Bonnafous France	11	337 0.9×	134 0.7×	86 0.5×	13 0.2×	17 0.2×	21	436

Countries citing papers authored by Luisa Pipolo

Since Specialization

Citations

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

Fields of papers citing papers by Luisa Pipolo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luisa Pipolo

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

All Works

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9 of 9 papers shown

1.

Chan, Hsiu‐Wen, Anna Jenkins, Luisa Pipolo, et al.. (2006). Effect of Dominant-Negative Epidermal Growth Factor Receptors on Cardiomyocyte Hypertrophy. Journal of Receptors and Signal Transduction. 26(5-6). 659–677. 12 indexed citations

2.

Onan, Döne, Luisa Pipolo, Eunice Yang, Ross D. Hannan, & Walter G. Thomas. (2004). Urotensin II Promotes Hypertrophy of Cardiac Myocytes via Mitogen-Activated Protein Kinases. Molecular Endocrinology. 18(9). 2344–2354. 79 indexed citations

3.

Autelitano, Dominic J., et al.. (2003). Adrenomedullin inhibits angiotensin AT1A receptor expression and function in cardiac fibroblasts. Regulatory Peptides. 112(1-3). 131–137. 14 indexed citations

4.

Qian, Hongwei, Luisa Pipolo, James Ziogas, et al.. (2002). Side-Chain Substitutions within Angiotensin II Reveal Different Requirements for Signaling, Internalization, and Phosphorylation of Type 1A Angiotensin Receptors. Molecular Pharmacology. 61(4). 768–777. 198 indexed citations

5.

Qian, Hongwei, Luisa Pipolo, James Ziogas, et al.. (2002). Side-Chain Substitutions within Angiotensin II Reveal Different Requirements for Signaling, Internalization, and Phosphorylation of Type 1A Angiotensin Receptors. Molecular Pharmacology. 61(4). 768–777. 19 indexed citations

6.

Qian, Hongwei, Luisa Pipolo, & Walter G. Thomas. (2001). Association of β-Arrestin 1 with the Type 1A Angiotensin II Receptor Involves Phosphorylation of the Receptor Carboxyl Terminus and Correlates with Receptor Internalization. Molecular Endocrinology. 15(10). 1706–1719. 78 indexed citations

7.

Thomas, Walter G., Luisa Pipolo, & Hongwei Qian. (1999). Identification of a Ca²⁺/calmodulin‐binding domain within the carboxyl‐terminus of the angiotensin II (AT_1A) receptor. FEBS Letters. 455(3). 367–371. 27 indexed citations

8.

Qian, Hongwei, Luisa Pipolo, & Walter G. Thomas. (1999). Identification of protein kinase C phosphorylation sites in the angiotensin II (AT1A) receptor. Biochemical Journal. 343(3). 637–644. 34 indexed citations

9.

Lew, Rebecca A., Fumihiro Tomoda, Roger G. Evans, et al.. (1996). Synthetic inhibitors of endopeptidase EC 3.4.24.15: potency and stability in vitro and in vivo. British Journal of Pharmacology. 118(5). 1269–1277. 11 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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