Malcolm Maden

15.0k total citations · 3 hit papers
195 papers, 11.5k citations indexed

About

Malcolm Maden is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Malcolm Maden has authored 195 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Molecular Biology, 33 papers in Cellular and Molecular Neuroscience and 31 papers in Developmental Neuroscience. Recurrent topics in Malcolm Maden's work include Developmental Biology and Gene Regulation (77 papers), Retinoids in leukemia and cellular processes (58 papers) and Neurogenesis and neuroplasticity mechanisms (31 papers). Malcolm Maden is often cited by papers focused on Developmental Biology and Gene Regulation (77 papers), Retinoids in leukemia and cellular processes (58 papers) and Neurogenesis and neuroplasticity mechanisms (31 papers). Malcolm Maden collaborates with scholars based in United Kingdom, United States and Tanzania. Malcolm Maden's co-authors include Emily Gale, Claire E. Horton, Matthew Hind, Dennis Summerbell, Jonathan Corcoran, Ashley W. Seifert, Leigh Wilson, Maija H. Zile, Nigel Holder and Frank Chytil and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Malcolm Maden

193 papers receiving 11.2k citations

Hit Papers

Retinoic acid in the deve... 2007 2026 2013 2019 2007 2009 2012 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Malcolm Maden 8.9k 2.2k 1.7k 1.4k 1.4k 195 11.5k
Jeremy P. Brockes 6.7k 0.8× 1.1k 0.5× 2.5k 1.4× 941 0.7× 1.1k 0.8× 128 9.7k
Juan Carlos Izpisúa Belmonte 22.9k 2.6× 4.0k 1.8× 1.4k 0.8× 637 0.4× 2.1k 1.6× 358 28.2k
Naoto Ueno 16.3k 1.8× 2.8k 1.3× 1.5k 0.9× 625 0.4× 3.3k 2.4× 261 21.7k
Sumihare Noji 8.0k 0.9× 2.7k 1.3× 1.4k 0.8× 222 0.2× 1.2k 0.9× 229 11.1k
William S. Talbot 9.2k 1.0× 2.4k 1.1× 3.2k 1.8× 1.1k 0.8× 3.7k 2.7× 107 13.4k
Ulríke Mayer 9.4k 1.1× 978 0.5× 978 0.6× 394 0.3× 3.9k 2.9× 164 14.3k
Thomas F. Schilling 12.0k 1.4× 3.0k 1.4× 1.3k 0.8× 738 0.5× 6.2k 4.6× 112 17.7k
Freda D. Miller 10.3k 1.2× 1.5k 0.7× 7.9k 4.5× 5.1k 3.6× 1.9k 1.4× 186 19.5k
Stephen J. Tapscott 20.4k 2.3× 3.8k 1.7× 2.7k 1.6× 621 0.4× 1.9k 1.4× 234 23.1k
Matthias Hammerschmidt 13.9k 1.6× 3.0k 1.4× 1.5k 0.9× 701 0.5× 7.0k 5.1× 154 18.9k

Countries citing papers authored by Malcolm Maden

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Maden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malcolm Maden

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

All Works

20 of 20 papers shown
1.
Stewart, Daniel, Becky K. Brisson, C. Wang, et al.. (2024). Type III Collagen Regulates Matrix Architecture and Mechanosensing during Wound Healing. Journal of Investigative Dermatology. 145(4). 919–938.e14. 10 indexed citations
2.
Varholick, Justin A., Pradip K. Kamat, Lei Liu, et al.. (2024). Stroke-induced neuroplasticity in spiny mice in the absence of tissue regeneration. npj Regenerative Medicine. 9(1). 41–41. 2 indexed citations
3.
Maden, Malcolm, et al.. (2023). African Spiny Mice ( Acomys ) Exhibit Mild Osteoarthritis Following Meniscal Injury. Cartilage. 14(1). 94–105. 2 indexed citations
4.
Maden, Malcolm, et al.. (2023). Osteoderms in a mammal the spiny mouse Acomys and the independent evolution of dermal armor. iScience. 26(6). 106779–106779. 8 indexed citations
5.
Maden, Malcolm. (2022). Salamanders as Key Models for Development and Regeneration Research. Methods in molecular biology. 2562. 1–23. 2 indexed citations
6.
Streeter, Kristi, et al.. (2019). Molecular and histologic outcomes following spinal cord injury in spiny mice, Acomys cahirinus . The Journal of Comparative Neurology. 528(9). 1535–1547. 36 indexed citations
7.
Maden, Malcolm. (2013). Who Needs Stem Cells if You Can Dedifferentiate?. Cell stem cell. 13(6). 640–641. 5 indexed citations
8.
Seifert, Ashley W., et al.. (2012). Skin shedding and tissue regeneration in African spiny mice (Acomys). Nature. 489(7417). 561–565. 403 indexed citations breakdown →
9.
Jarvis, Christopher I, Maria B. Goncalves, Earl E. Clarke, et al.. (2010). Retinoic acid receptor‐α signalling antagonizes both intracellular and extracellular amyloid‐β production and prevents neuronal cell death caused by amyloid‐β. European Journal of Neuroscience. 32(8). 1246–1255. 64 indexed citations
10.
Goncalves, Maria B., Marta Agudo‐Barriuso, Stephen B. McMahon, et al.. (2008). Sequential RARβ and α signalling in vivo can induce adult forebrain neural progenitor cells to differentiate into neurons through Shh and FGF signalling pathways. Developmental Biology. 326(2). 305–313. 33 indexed citations
11.
Hind, Matthew & Malcolm Maden. (2003). Prolonged retinoid deficiency in the adult rat results in emphysematous change. Thorax. 58. 10–10. 1 indexed citations
12.
Maden, Malcolm. (2003). Regeneration: Every Clot Has a Thrombin Lining. Current Biology. 13(13). R517–R518. 12 indexed citations
13.
Maden, Malcolm. (2002). Retinoic acid and limb regeneration--a personal view. The International Journal of Developmental Biology. 46(7). 883–886. 16 indexed citations
14.
Allen, Steve, et al.. (2002). Sites of retinoic acid (RA) synthesis in regenerating bone determined by immunolocalisation of the RA synthesising enzyme RALDH2. Journal of Bone and Mineral Research. 17(7). 1335–1335. 1 indexed citations
15.
Maden, Malcolm. (2001). Role and distribution of retinoic acid during CNS development. International review of cytology. 209. 1–77. 127 indexed citations
16.
Allen, Steve, et al.. (2001). Retinoic acid regulates osteoclast and chondrocyte differentiation in deer antlers which express retinoic acid receptors in vivo. Bone. 28(5). 4 indexed citations
17.
Maden, Malcolm, Anthony Graham, Maija H. Zile, & Emily Gale. (2000). Abnormalities of somite development in the absence of retinoic acid. The International Journal of Developmental Biology. 44(1). 151–159. 42 indexed citations
18.
Maden, Malcolm. (1998). Vertebrate development: A nervous vitamin. Current Biology. 8(23). R846–R849. 15 indexed citations
19.
Horton, Claire E., et al.. (1996). Endogenous retinoids in the zebrafish embryo and adult. Developmental Dynamics. 205(1). 41–51. 91 indexed citations
20.
Holder, N., et al.. (1985). Motorneuron pools innervating muscles in vitamin A-induced proximal-distal duplicate limbs in the axolotl. Proceedings of the Royal Society of London. Series B, Biological sciences. 224(1236). 341–354. 6 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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