Mathew Tata

577 total citations
9 papers, 363 citations indexed

About

Mathew Tata is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Mathew Tata has authored 9 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Developmental Neuroscience. Recurrent topics in Mathew Tata's work include Axon Guidance and Neuronal Signaling (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Angiogenesis and VEGF in Cancer (3 papers). Mathew Tata is often cited by papers focused on Axon Guidance and Neuronal Signaling (6 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Angiogenesis and VEGF in Cancer (3 papers). Mathew Tata collaborates with scholars based in United Kingdom, Mexico and Tanzania. Mathew Tata's co-authors include Christiana Ruhrberg, Alessandro Fantin, Aman Dalal, D Albe‐Fessard, N Bons, Nicoletta Kessaris, Joaquim Miguel Vieira, Ivan Wall, Sarah Leigh Nicholson and Simon Picker and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Development.

In The Last Decade

Mathew Tata

8 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mathew Tata United Kingdom	8	161	99	74	69	55	9	363
Tae‐Ryong Riew South Korea	11	178 1.1×	92 0.9×	78 1.1×	35 0.5×	74 1.3×	32	378
Kelly A. Chamberlain United States	6	188 1.2×	128 1.3×	78 1.1×	82 1.2×	91 1.7×	6	407
Jihui Zhang China	9	141 0.9×	78 0.8×	90 1.2×	132 1.9×	49 0.9×	14	468
Daniel Gerber Switzerland	6	173 1.1×	158 1.6×	48 0.6×	87 1.3×	45 0.8×	7	334
Annalisa Nicotra Italy	10	168 1.0×	132 1.3×	70 0.9×	25 0.4×	48 0.9×	21	489
Kazuhiko Namikawa Japan	9	236 1.5×	160 1.6×	52 0.7×	62 0.9×	30 0.5×	9	412
Soshana Svendsen United States	7	259 1.6×	101 1.0×	49 0.7×	63 0.9×	87 1.6×	9	470
Pau González Spain	13	198 1.2×	172 1.7×	58 0.8×	60 0.9×	105 1.9×	23	473
Stefan A. Berghoff Germany	9	152 0.9×	58 0.6×	53 0.7×	104 1.5×	128 2.3×	13	397
Claire Benetollo France	12	122 0.8×	106 1.1×	29 0.4×	29 0.4×	46 0.8×	18	397

Countries citing papers authored by Mathew Tata

Since Specialization

Citations

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

Fields of papers citing papers by Mathew Tata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathew Tata

This figure shows the co-authorship network connecting the top 25 collaborators of Mathew Tata. A scholar is included among the top collaborators of Mathew Tata 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 Mathew Tata. Mathew Tata 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.

Paterlini, Marta, Margherita Zamboni, Christoph Ziegenhain, et al.. (2025). Identification of proliferating neural progenitors in the adult human hippocampus. Science. 389(6755). 58–63. 8 indexed citations

2.

Tata, Mathew & Christiana Ruhrberg. (2018). The Mouse Hindbrain As a Model for Studying Embryonic Neurogenesis. Journal of Visualized Experiments.

3.

Tata, Mathew, Andrew Joyce, Ceilidh Marchant, et al.. (2018). Neuropilins guide preganglionic sympathetic axons and chromaffin cell precursors to establish the adrenal medulla. Development. 145(21). 0. 21 indexed citations

4.

Barber, Melissa, William D. Andrews, Fani Memi, et al.. (2018). Vascular-Derived Vegfa Promotes Cortical Interneuron Migration and Proximity to the Vasculature in the Developing Forebrain. Cerebral Cortex. 28(7). 2577–2593. 27 indexed citations

5.

Tata, Mathew & Christiana Ruhrberg. (2018). Cross-talk between blood vessels and neural progenitors in the developing brain. PubMed. 2(1). NS20170139–NS20170139. 37 indexed citations

6.

Tata, Mathew, et al.. (2016). Regulation of embryonic neurogenesis by germinal zone vasculature. Proceedings of the National Academy of Sciences. 113(47). 13414–13419. 40 indexed citations

7.

Tata, Mathew, Christiana Ruhrberg, & Alessandro Fantin. (2015). Vascularisation of the central nervous system. Mechanisms of Development. 138. 26–36. 102 indexed citations

8.

Yasin, Shireena A., Mathew Tata, Simon Picker, et al.. (2013). mTOR-dependent abnormalities in autophagy characterize human malformations of cortical development: evidence from focal cortical dysplasia and tuberous sclerosis. Acta Neuropathologica. 126(2). 207–218. 65 indexed citations

9.

Dalal, Aman, et al.. (1999). Spontaneous activity of rat dorsal horn cells in spinal segments of sciatic projection following transection of sciatic nerve or of corresponding dorsal roots. Neuroscience. 94(1). 217–228. 63 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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