Guy Meno‐Tetang

1.7k total citations · 1 hit paper
21 papers, 1.2k citations indexed

About

Guy Meno‐Tetang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Guy Meno‐Tetang has authored 21 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Physiology. Recurrent topics in Guy Meno‐Tetang's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Virus-based gene therapy research (4 papers) and CAR-T cell therapy research (2 papers). Guy Meno‐Tetang is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Virus-based gene therapy research (4 papers) and CAR-T cell therapy research (2 papers). Guy Meno‐Tetang collaborates with scholars based in United States, United Kingdom and Switzerland. Guy Meno‐Tetang's co-authors include Christian Bruns, Gisbert Weckbecker, U. Briner, Ian Lewis, Philip J. Lowe, William J. Jusko, Dhaval K. Shah, Peter Heining, Hongshan Li and Jean‐Philippe Courade and has published in prestigious journals such as Brain, Advanced Drug Delivery Reviews and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Guy Meno‐Tetang

20 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SOM230: a novel somatostatin peptidomimetic with broad somatotropin release inhibiting factor (SRIF) receptor binding and a unique antisecretory profile

2002 555 citations Christian Bruns, Ian Lewis et al. European Journal of Endocrinology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guy Meno‐Tetang United States	13	419	356	347	238	231	21	1.2k
C. Susini France	19	650 1.6×	325 0.9×	619 1.8×	352 1.5×	176 0.8×	27	1.3k
Brandon G. Bentz United States	19	501 1.2×	312 0.9×	139 0.4×	336 1.4×	73 0.3×	40	1.6k
Artur Płonowski United States	19	312 0.7×	339 1.0×	286 0.8×	367 1.5×	99 0.4×	32	978
Sung‐Hye Park South Korea	24	583 1.4×	47 0.1×	296 0.9×	206 0.9×	382 1.7×	112	1.7k
John M. Ong United States	17	632 1.5×	210 0.6×	129 0.4×	225 0.9×	36 0.2×	24	1.4k
Anne F. Buckley United States	19	538 1.3×	52 0.1×	171 0.5×	254 1.1×	96 0.4×	52	1.5k
Frederick Pfister Germany	21	593 1.4×	154 0.4×	47 0.1×	102 0.4×	280 1.2×	43	1.8k
Tatsuo Kimura Japan	22	398 0.9×	64 0.2×	145 0.4×	508 2.1×	113 0.5×	108	1.4k
Atsuko Kasajima Japan	27	598 1.4×	94 0.3×	680 2.0×	870 3.7×	362 1.6×	97	1.8k

Countries citing papers authored by Guy Meno‐Tetang

Since Specialization

Citations

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

Fields of papers citing papers by Guy Meno‐Tetang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guy Meno‐Tetang. 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 Guy Meno‐Tetang. The network helps show where Guy Meno‐Tetang may publish in the future.

Co-authorship network of co-authors of Guy Meno‐Tetang

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

All Works

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20 of 20 papers shown

Kopruszinski, Caroline Machado, John E. Linley, Peter Thornton, et al.. (2025). Efficacy of MEDI0618, a pH-dependent monoclonal antibody targeting PAR2, in preclinical models of migraine. Brain. 148(4). 1345–1359. 1 indexed citations

Chowdhury, Ekram Ahmed, et al.. (2025). The Impact of QSP Modeling on the Design and Optimization of Gene Therapy Approaches. CPT Pharmacometrics & Systems Pharmacology. 14(11). 1760–1764.

Chowdhury, Ekram Ahmed, Manuj Ahuja, Shufang Liu, et al.. (2023). Pharmacokinetics of AAV9 Mediated Trastuzumab Expression in Rat Brain Following Systemic and Local Administration. Journal of Pharmaceutical Sciences. 113(1). 131–140. 4 indexed citations

Liu, Shufang, Ekram Ahmed Chowdhury, B. Ly, et al.. (2023). Whole-Body Disposition and Physiologically Based Pharmacokinetic Modeling of Adeno-Associated Viruses and the Transgene Product. Journal of Pharmaceutical Sciences. 113(1). 141–157. 5 indexed citations

Chandran, Jayanth, Ekram Ahmed Chowdhury, Michael S. Perkinton, et al.. (2022). Assessment of AAV9 distribution and transduction in rats after administration through Intrastriatal, Intracisterna magna and Lumbar Intrathecal routes. Gene Therapy. 30(1-2). 132–141. 9 indexed citations

Bakshi, Suruchi, Guy Meno‐Tetang, Aparna Mohan, et al.. (2022). Hallmarks of neurodegenerative disease: A systems pharmacology perspective. CPT Pharmacometrics & Systems Pharmacology. 11(11). 1399–1429. 28 indexed citations

Chowdhury, Ekram Ahmed, et al.. (2021). Current progress and limitations of AAV mediated delivery of protein therapeutic genes and the importance of developing quantitative pharmacokinetic/pharmacodynamic (PK/PD) models. Advanced Drug Delivery Reviews. 170. 214–237. 52 indexed citations

Colin, Morvane, Simon Dujardin, Susanna Schraen‐Maschke, et al.. (2019). From the prion-like propagation hypothesis to therapeutic strategies of anti-tau immunotherapy. Acta Neuropathologica. 139(1). 3–25. 122 indexed citations

Sepp, Armin, et al.. (2019). Computer-assembled cross-species/cross-modalities two-pore physiologically based pharmacokinetic model for biologics in mice and rats. Journal of Pharmacokinetics and Pharmacodynamics. 46(4). 339–359. 22 indexed citations

10.

Chang, Hsueh-Yuan, et al.. (2019). A translational platform PBPK model for antibody disposition in the brain. Journal of Pharmacokinetics and Pharmacodynamics. 46(4). 319–338. 58 indexed citations

11.

Gottenberg, Jacques‐Eric, Thomas Dörner, Hendrika Bootsma, et al.. (2018). Efficacy of Epratuzumab, an Anti‐CD22 Monoclonal IgG Antibody, in Systemic Lupus Erythematosus Patients With Associated Sjögren's Syndrome. Arthritis & Rheumatology. 70(5). 763–773. 51 indexed citations

12.

Sepp, Armin, Aliénor Berges, Andrew Sanderson, & Guy Meno‐Tetang. (2015). Development of a physiologically based pharmacokinetic model for a domain antibody in mice using the two-pore theory. Journal of Pharmacokinetics and Pharmacodynamics. 42(2). 97–109. 27 indexed citations

13.

Meno‐Tetang, Guy, et al.. (2007). Physiologically Based Pharmacokinetic (PBPK) Modeling of Everolimus (RAD001) in Rats Involving Non-Linear Tissue Uptake. Journal of Pharmacokinetics and Pharmacodynamics. 34(3). 373–400. 28 indexed citations

14.

Meno‐Tetang, Guy, Hongshan Li, Nancy A. Pyszczynski, et al.. (2006). Physiologically Based Pharmacokinetic Modeling of FTY720 (2-Amino-2[2-(-4-octylphenyl)ethyl]propane-1,3-diol hydrochloride) in Rats After Oral and Intravenous Doses. Drug Metabolism and Disposition. 34(9). 1480–1487. 119 indexed citations

15.

Meno‐Tetang, Guy & Philip J. Lowe. (2005). On the Prediction of the Human Response: A Recycled Mechanistic Pharmacokinetic/Pharmacodynamic Approach. Basic & Clinical Pharmacology & Toxicology. 96(3). 182–192. 77 indexed citations

16.

Li, Hongshan, Guy Meno‐Tetang, Kenji Chiba, et al.. (2002). Pharmacokinetics and Cell Trafficking Dynamics of 2-Amino-2-[2-(4-octylphenyl)ethyl]propane-1,3-diol Hydrochloride (FTY720) in Cynomolgus Monkeys after Single Oral and Intravenous Doses. Journal of Pharmacology and Experimental Therapeutics. 301(2). 519–526. 26 indexed citations

17.

Bruns, Christian, Ian Lewis, U. Briner, Guy Meno‐Tetang, & Gisbert Weckbecker. (2002). SOM230: a novel somatostatin peptidomimetic with broad somatotropin release inhibiting factor (SRIF) receptor binding and a unique antisecretory profile. European Journal of Endocrinology. 146(5). 707–716. 555 indexed citations breakdown →

18.

Meno‐Tetang, Guy, Yuen Yi Hon, Scott Van Wart, & W J Jusko. (1999). Pharmacokinetic and Pharmacodynamic Interactions between Dehydroepiandrosterone and Prednisolone in the Rat. Drug metabolism and drug interactions. 15(1). 51–70. 3 indexed citations

19.

Meno‐Tetang, Guy, Jogarao Gobburu, & William J. Jusko. (1999). Influence of Gender on Prednisolone Effects on Whole Blood T-Cell Deactivation and Trafficking in Rats. Journal of Pharmaceutical Sciences. 88(1). 46–51. 7 indexed citations

20.

Meno‐Tetang, Guy, Yuen Yi Hon, & William J. Jusko. (1996). Synergistic Interaction Between Dehydroepiandrosterone and Prednisolone in the Inhibition of Rat Lymphocyte Proliferation. Immunopharmacology and Immunotoxicology. 18(3). 443–456. 8 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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