Timothy J. Maher

716 total citations
22 papers, 507 citations indexed

About

Timothy J. Maher is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biochemistry. According to data from OpenAlex, Timothy J. Maher has authored 22 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 5 papers in Biochemistry. Recurrent topics in Timothy J. Maher's work include Receptor Mechanisms and Signaling (8 papers), Neuropeptides and Animal Physiology (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). Timothy J. Maher is often cited by papers focused on Receptor Mechanisms and Signaling (8 papers), Neuropeptides and Animal Physiology (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). Timothy J. Maher collaborates with scholars based in United States, Netherlands and Canada. Timothy J. Maher's co-authors include Richard J. Wurtman, İsmail H. Ulus, Jonghan Kim, Khristy Thompson, Joseph D. Brain, Marianne Wessling‐Resnick, Ramon M. Molina, Lydia A. Conlay, Ahmmed Ally and Maria Mancini and has published in prestigious journals such as Nature Communications, Nature Immunology and Journal of Agricultural and Food Chemistry.

In The Last Decade

Timothy J. Maher

22 papers receiving 490 citations

Peers

Timothy J. Maher

PHYSI

IMMUN

CMN

B. Gonthier France

Kamlesh Kumar Pant India

Atef Tadros Fahim Egypt

Rocco C. Iannello Australia

Rama Vaidya India

Chih-Cheng Wu Taiwan

Marı́a Laura Barreiro Arcos Argentina

Fiorella Miceli Italy

Amira A. Shaheen Egypt

B. Gonthier France

Timothy J. Maher

253 ×1.3

112 ×1.2

PHYSI

42 ×0.6

IMMUN

58 ×0.8

134 ×1.9

CMN

Citations per year, relative to Timothy J. Maher Timothy J. Maher (= 1×) peers B. Gonthier

Countries citing papers authored by Timothy J. Maher

Since Specialization

Citations

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

Fields of papers citing papers by Timothy J. Maher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy J. Maher. 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 Timothy J. Maher. The network helps show where Timothy J. Maher may publish in the future.

Co-authorship network of co-authors of Timothy J. Maher

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy J. Maher. A scholar is included among the top collaborators of Timothy J. Maher 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 Timothy J. Maher. Timothy J. Maher 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

Trotta, Francesco, et al.. (2024). Blind Spots in Development of Nanomedicines. Technology in Cancer Research & Treatment. 23. 2233987230–2233987230. 3 indexed citations

Borbet, Timothy C., Matthew F. Wipperman, Sebastian Reuter, et al.. (2022). Influence of the early-life gut microbiota on the immune responses to an inhaled allergen. Mucosal Immunology. 15(5). 1000–1011. 34 indexed citations

Tyler, Paul, Molly L. Bucklin, Mengting Zhao, et al.. (2021). Human autoinflammatory disease reveals ELF4 as a transcriptional regulator of inflammation. Nature Immunology. 22(9). 1118–1126. 41 indexed citations

Maher, Timothy J., Yu Zhang, Molly L. Bucklin, et al.. (2019). Human PI3Kγ deficiency and its microbiota-dependent mouse model reveal immunodeficiency and tissue immunopathology. Nature Communications. 10(1). 4364–4364. 59 indexed citations

Ye, Qi, Malav Trivedi, Mark Böhlke, et al.. (2018). Brain iron loading impairs DNA methylation and alters GABAergic function in mice. The FASEB Journal. 33(2). 2460–2471. 33 indexed citations

Cardenas, Christian L. Lino, et al.. (2017). High Concentrations of Rosiglitazone Reduce mRNA and Protein Levels of LRP1 in HepG2 Cells. Frontiers in Pharmacology. 8. 772–772. 20 indexed citations

Batran, Rasha Z., et al.. (2017). Coumarinyl pyranopyrimidines as new neuropeptide S receptor antagonists; design, synthesis, homology and molecular docking. Bioorganic Chemistry. 75. 274–290. 22 indexed citations

Molina, Ramon M., Jonghan Kim, Khristy Thompson, et al.. (2011). Ingestion of Mn and Pb by rats during and after pregnancy alters iron metabolism and behavior in offspring. NeuroToxicology. 32(4). 413–422. 56 indexed citations

Maher, Timothy J.. (2011). The role of amino acid precursors on neurotransmission. European Journal of Pharmacology. 668. e8–e8. 1 indexed citations

10.

Nguyen, Diane, Alejandro Pino‐Figueroa, & Timothy J. Maher. (2009). In vitro evaluation of the neuroprotective effects of Lepidium meyenii (maca) in crayfish neuronal and rat neuroblastoma cell lines. The FASEB Journal. 23(S1). 4 indexed citations

11.

Struys, Eduard A., Nanda M. Verhoeven, Erwin E. W. Jansen, et al.. (2006). Metabolism of γ-hydroxybutyrate to d-2-hydroxyglutarate in mammals: further evidence for d-2-hydroxyglutarate transhydrogenase. Metabolism. 55(3). 353–358. 40 indexed citations

12.

Wu, Tzu‐Hua, et al.. (2006). Astaxanthin Protects against Oxidative Stress and Calcium-Induced Porcine Lens Protein Degradation. Journal of Agricultural and Food Chemistry. 54(6). 2418–2423. 34 indexed citations

13.

Ulus, İsmail H., Timothy J. Maher, & Richard J. Wurtman. (2000). Characterization of phentermine and related compounds as monoamine oxidase (mao) inhibitors. Biochemical Pharmacology. 59(12). 1611–1621. 52 indexed citations

14.

Mancini, Maria, et al.. (2000). Rostral ventrolateral medulla opioid receptor activation modulates glutamate release and attenuates the exercise pressor reflex. Brain Research. 865(2). 177–185. 28 indexed citations

15.

Johnson, David A. & Timothy J. Maher. (1991). Vasoactive properties of phenylpropanolamine (d, I‐norephedrine) and its enantiomers in isolated rat caudal artery. Drug Development Research. 23(2). 159–169. 5 indexed citations

16.

Maher, Timothy J., et al.. (1987). Adrenergic receptor subtype activation by (+)-, (−)- and (±)-norephedrine in the pithed rat. Journal of Pharmacy and Pharmacology. 39(2). 108–112. 29 indexed citations

17.

Pinto, Judith M.B. & Timothy J. Maher. (1986). Tyrosine availability prevents tyramine-induced tachyphylaxis in the isolated rat heart. Neurochemistry International. 9(4). 533–537. 5 indexed citations

18.

Lehnert, Hendrik, Timothy J. Maher, Hidehiko Yokogoshi, & R. J. Wurtman. (1985). Effects of Tyrosine on Blood Pressure and Turnover of Norepinephrine in Different Brain Areas of the Spontaneously Hypertensive Rat. Journal of Hypertension. 3(4). 412–412. 1 indexed citations

19.

Conlay, Lydia A., Timothy J. Maher, & Richard J. Wurtman. (1984). Tyrosine's pressor effect in hypotensive rats is not mediated by tyramine. Life Sciences. 35(11). 1207–1212. 17 indexed citations

20.

Conlay, Lydia A., Timothy J. Maher, Peter L. Moses, & R. J. Wurtman. (1983). Tyrosine's vasoactive effect in the dog shock model depends on the animal's starting blood pressure. Journal of Neural Transmission. 58(1-2). 69–74. 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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