Timothy Goodman

1.2k total citations
18 papers, 936 citations indexed

About

Timothy Goodman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Timothy Goodman has authored 18 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Developmental Neuroscience. Recurrent topics in Timothy Goodman's work include Retinoids in leukemia and cellular processes (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Fibroblast Growth Factor Research (3 papers). Timothy Goodman is often cited by papers focused on Retinoids in leukemia and cellular processes (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Fibroblast Growth Factor Research (3 papers). Timothy Goodman collaborates with scholars based in United Kingdom, United States and Germany. Timothy Goodman's co-authors include Mohammad K. Hajihosseini, Albert Ferro, Pankaj Sharma, Peter McCaffery, Savério Bellusci, Alexander Ross, Ritva Rice, Kirsty Shearer, Elie El Agha and Niels Haan and has published in prestigious journals such as Journal of Neuroscience, Development and Biochemical Journal.

In The Last Decade

Timothy Goodman

18 papers receiving 928 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy Goodman United Kingdom 15 293 278 230 174 173 18 936
José I. Piruat Spain 19 649 2.2× 116 0.4× 267 1.2× 307 1.8× 56 0.3× 28 1.3k
Nikolay Naumenko Finland 18 717 2.4× 104 0.4× 81 0.4× 362 2.1× 123 0.7× 41 1.3k
F. Javier Dı́ez-Guerra Spain 20 605 2.1× 126 0.5× 42 0.2× 392 2.3× 116 0.7× 34 1.2k
Hiroyuki Katagiri Japan 16 577 2.0× 183 0.7× 48 0.2× 707 4.1× 126 0.7× 23 1.6k
Jessica K. Lerch United States 14 389 1.3× 209 0.8× 46 0.2× 426 2.4× 40 0.2× 19 970
Duyu Nie United States 11 543 1.9× 149 0.5× 332 1.4× 271 1.6× 20 0.1× 22 1.4k
Jonathan C. Bean United States 10 334 1.1× 128 0.5× 75 0.3× 303 1.7× 23 0.1× 16 855
Maribel Murillo‐Carretero Spain 19 506 1.7× 400 1.4× 55 0.2× 334 1.9× 29 0.2× 22 1.2k
Lakshmi Thirumangalakudi United States 11 295 1.0× 168 0.6× 64 0.3× 226 1.3× 27 0.2× 16 1.2k
Hang Yao United States 17 581 2.0× 70 0.3× 61 0.3× 414 2.4× 39 0.2× 33 1.0k

Countries citing papers authored by Timothy Goodman

Since Specialization
Citations

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

Fields of papers citing papers by Timothy Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy Goodman

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

All Works

18 of 18 papers shown
1.
Secret, Emilie, Timothy Goodman, Michael Rotherham, et al.. (2022). Directional control of neurite outgrowth: emerging technologies for Parkinson's disease using magnetic nanoparticles and magnetic field gradients. Journal of The Royal Society Interface. 19(196). 20220576–20220576. 12 indexed citations
2.
Goodman, Timothy, et al.. (2020). Tissue localization of retinoic acid receptor (RAR) active drugs. Methods in enzymology on CD-ROM/Methods in enzymology. 637. 513–538. 3 indexed citations
3.
Goodman, Timothy, et al.. (2020). Fibroblast growth factor 10 is a negative regulator of postnatal neurogenesis in the mouse hypothalamus. Development. 147(13). 24 indexed citations
4.
Rotherham, Michael, et al.. (2019). Magnetic Mechanoactivation of Wnt Signaling Augments Dopaminergic Differentiation of Neuronal Cells. Advanced Biosystems. 3(9). e1900091–e1900091. 18 indexed citations
5.
Goodman, Timothy, et al.. (2019). Characterisation of endogenous players in fibroblast growth factor‐regulated functions of hypothalamic tanycytes and energy‐balance nuclei. Journal of Neuroendocrinology. 31(8). e12750–e12750. 16 indexed citations
6.
Layne, Kerry, Timothy Goodman, Albert Ferro, & Gabriella Passacquale. (2017). The effect of aspirin on circulating netrin-1 levels in humans is dependent on the inflammatory status of the vascular endothelium. Oncotarget. 8(49). 86548–86555. 5 indexed citations
7.
Goodman, Timothy, et al.. (2016). Interrogation of a lacrimo-auriculo-dento-digital syndrome protein reveals novel modes of fibroblast growth factor 10 (FGF10) function. Biochemical Journal. 473(24). 4593–4607. 14 indexed citations
8.
Goodman, Timothy & Mohammad K. Hajihosseini. (2015). Hypothalamic tanycytes—masters and servants of metabolic, neuroendocrine, and neurogenic functions. Frontiers in Neuroscience. 9. 387–387. 109 indexed citations
9.
Stoney, Patrick N., Yára Dadalti Fragoso, Anna Ashton, et al.. (2015). Expression of the retinoic acid catabolic enzyme CYP26B1 in the human brain to maintain signaling homeostasis. Brain Structure and Function. 221(6). 3315–3326. 33 indexed citations
10.
Floyd, Christopher N., Timothy Goodman, Silke Becker, et al.. (2014). Increased platelet expression of glycoprotein IIIa following aspirin treatment in aspirin‐resistant but not aspirin‐sensitive subjects. British Journal of Clinical Pharmacology. 78(2). 320–328. 19 indexed citations
11.
Haan, Niels, Timothy Goodman, Ritva Rice, et al.. (2013). Fgf10-Expressing Tanycytes Add New Neurons to the Appetite/Energy-Balance Regulating Centers of the Postnatal and Adult Hypothalamus. Journal of Neuroscience. 33(14). 6170–6180. 187 indexed citations
12.
Goodman, Timothy, James E. Crandall, Sonia E. Nanescu, et al.. (2012). Patterning of retinoic acid signaling and cell proliferation in the hippocampus. Hippocampus. 22(11). 2171–2183. 55 indexed citations
13.
Crandall, James E., Timothy Goodman, Deirdre M. McCarthy, et al.. (2011). Retinoic acid influences neuronal migration from the ganglionic eminence to the cerebral cortex. Journal of Neurochemistry. 119(4). 723–735. 31 indexed citations
14.
Helfer, Gisela, Alexander Ross, Laura Russell, et al.. (2011). Photoperiod Regulates Vitamin A and Wnt/β-Catenin Signaling in F344 Rats. Endocrinology. 153(2). 815–824. 58 indexed citations
15.
Goodman, Timothy, Stéphanie Trouche, Isabelle Massou, et al.. (2010). Young hippocampal neurons are critical for recent and remote spatial memory in adult mice. Neuroscience. 171(3). 769–778. 104 indexed citations
16.
Shearer, Kirsty, Timothy Goodman, Alexander Ross, et al.. (2009). Photoperiodic regulation of retinoic acid signaling in the hypothalamus. Journal of Neurochemistry. 112(1). 246–257. 61 indexed citations
17.
Goodman, Timothy, Albert Ferro, & Pankaj Sharma. (2008). Pharmacogenetics of aspirin resistance: a comprehensive systematic review. British Journal of Clinical Pharmacology. 66(2). 222–232. 142 indexed citations
18.
Goodman, Timothy, Pankaj Sharma, & Albert Ferro. (2007). The genetics of aspirin resistance. International Journal of Clinical Practice. 61(5). 826–834. 45 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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