Kaj Fried

8.1k total citations
116 papers, 4.9k citations indexed

About

Kaj Fried is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Kaj Fried has authored 116 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Cellular and Molecular Neuroscience, 49 papers in Molecular Biology and 45 papers in Physiology. Recurrent topics in Kaj Fried's work include Pain Mechanisms and Treatments (39 papers), Nerve injury and regeneration (38 papers) and Neuropeptides and Animal Physiology (35 papers). Kaj Fried is often cited by papers focused on Pain Mechanisms and Treatments (39 papers), Nerve injury and regeneration (38 papers) and Neuropeptides and Animal Physiology (35 papers). Kaj Fried collaborates with scholars based in Sweden, Austria and United States. Kaj Fried's co-authors include C. Hildebrand, Mårten Risling, Jonas Frisén, Jenny Fjell, Marshall Devor, Stephen G. Waxman, Theodore Cummins, Joel A. Black, Igor Adameyko and U. Bongenhielm and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Kaj Fried

115 papers receiving 4.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaj Fried Sweden 41 2.6k 1.8k 1.8k 618 597 116 4.9k
Margaret R. Byers United States 42 2.3k 0.9× 1.6k 0.9× 1.4k 0.8× 239 0.4× 350 0.6× 94 4.7k
Jan Arvidsson Sweden 33 2.1k 0.8× 1.3k 0.7× 565 0.3× 381 0.6× 256 0.4× 70 3.6k
C. Hildebrand Sweden 34 2.0k 0.8× 664 0.4× 961 0.5× 1.2k 1.9× 333 0.6× 121 3.6k
Roland Pochet Belgium 42 1.6k 0.6× 471 0.3× 2.6k 1.4× 318 0.5× 331 0.6× 126 4.6k
Mary Hynes United States 30 3.3k 1.3× 781 0.4× 5.3k 3.0× 1.2k 2.0× 703 1.2× 45 8.8k
Håkan Aldskogius Sweden 39 3.1k 1.2× 1.7k 0.9× 1.0k 0.6× 1.2k 2.0× 566 0.9× 153 5.4k
Akio Wanaka Japan 48 2.1k 0.8× 619 0.3× 3.6k 2.1× 1.1k 1.8× 481 0.8× 169 7.0k
Satoshi Wakisaka Japan 34 1.9k 0.7× 1.8k 1.0× 2.1k 1.2× 56 0.1× 454 0.8× 191 4.8k
Shinsuke Shibata Japan 40 1.9k 0.7× 341 0.2× 2.9k 1.7× 1.3k 2.1× 840 1.4× 161 6.5k
Mark F. Jacquin United States 37 2.5k 1.0× 847 0.5× 851 0.5× 657 1.1× 244 0.4× 89 4.6k

Countries citing papers authored by Kaj Fried

Since Specialization
Citations

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

Fields of papers citing papers by Kaj Fried

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaj Fried

This figure shows the co-authorship network connecting the top 25 collaborators of Kaj Fried. A scholar is included among the top collaborators of Kaj Fried 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 Kaj Fried. Kaj Fried 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.
Xie, Meng, Ruslan Deviatiiarov, Guzel R. Gazizova, et al.. (2024). The level of protein in the maternal murine diet modulates the facial appearance of the offspring via mTORC1 signaling. Nature Communications. 15(1). 2367–2367. 1 indexed citations
2.
Sunadome, Kazunori, Alek Erickson, Delf Kah, et al.. (2023). Directionality of developing skeletal muscles is set by mechanical forces. Nature Communications. 14(1). 3060–3060. 24 indexed citations
3.
Křivánek, Jan, Marcela Buchtová, Kaj Fried, & Igor Adameyko. (2023). Plasticity of Dental Cell Types in Development, Regeneration, and Evolution. Journal of Dental Research. 102(6). 589–598. 7 indexed citations
4.
Kastriti, Maria Eleni, Louis Faure, Thibault Bouderlique, et al.. (2022). Schwann cell precursors represent a neural crest‐like state with biased multipotency. The EMBO Journal. 41(17). e108780–e108780. 63 indexed citations
5.
Bouderlique, Thibault, Julian Petersen, Louis Faure, et al.. (2022). Surface flow for colonial integration in reef-building corals. Current Biology. 32(12). 2596–2609.e7. 14 indexed citations
6.
Kaucká, Markéta, Alberto Joven, Markéta Tesařová, et al.. (2022). Altered developmental programs and oriented cell divisions lead to bulky bones during salamander limb regeneration. Nature Communications. 13(1). 6949–6949. 11 indexed citations
7.
Furlan, Alessandro, Vyacheslav Dyachuk, Maria Eleni Kastriti, et al.. (2017). Multipotent peripheral glial cells generate neuroendocrine cells of the adrenal medulla. Science. 357(6346). 222 indexed citations
8.
Dyachuk, Vyacheslav, Alessandro Furlan, Nina Kaukua, et al.. (2014). Parasympathetic neurons originate from nerve-associated peripheral glial progenitors. Science. 345(6192). 82–87. 168 indexed citations
9.
10.
Nissenbaum, J., Marshall Devor, Ze’ev Seltzer, et al.. (2010). Susceptibility to chronic pain following nerve injury is genetically affected by CACNG2. Genome Research. 20(9). 1180–1190. 102 indexed citations
11.
Persson, Anna‐Karin, Mathias Gebauer, Suzana Jordan, et al.. (2009). Correlational Analysis for Identifying Genes whose Regulation Contributes to Chronic Neuropathic Pain. Molecular Pain. 5. 7–7. 33 indexed citations
12.
Fried, Kaj, Christina Lillesaar, Wondossen Sime, Nina Kaukua, & Manuel E. Patarroyo. (2007). Target finding of pain nerve fibers: Neural growth mechanisms in the tooth pulp. Physiology & Behavior. 92(1-2). 40–45. 26 indexed citations
13.
Lillesaar, Christina, Cecilia Eriksson, Carina Johansson, Kaj Fried, & C. Hildebrand. (1999). Tooth pulp tissue promotes neurite outgrowth from rat trigeminal ganglia in vitro. Journal of Neurocytology. 28(8). 663–670. 29 indexed citations
14.
Fjell, Jenny, Theodore Cummins, Sulayman D. Dib‐Hajj, et al.. (1999). Differential role of GDNF and NGF in the maintenance of two TTX-resistant sodium channels in adult DRG neurons. Molecular Brain Research. 67(2). 267–282. 159 indexed citations
15.
Fried, Kaj, et al.. (1996). Combinatorial expression patterns of the connexins 26, 32, and 43 during development, homeostasis, and regeneration of rat teeth. The International Journal of Developmental Biology. 40(5). 985–995. 37 indexed citations
16.
Frisén, Jonas, et al.. (1994). Adhesive/Repulsive Properties in the Injured Spinal Cord: Relation to Myelin Phagocytosis by Invading Macrophages. Experimental Neurology. 129(2). 183–193. 27 indexed citations
17.
Robertson, Brita, et al.. (1994). trkB-like immunoreactivity in rat dorsal root ganglia following sciatic nerve injury. Brain Research. 659(1-2). 267–271. 23 indexed citations
18.
Risling, Mårten, Kaj Fried, Hans Lindå, Thomas Carlstedt, & Staffan Cullheim. (1993). Regrowth of motor axons following spinal cord lesions: Distribution of laminin and collagen in the CNS scar tissue. Brain Research Bulletin. 30(3-4). 405–414. 63 indexed citations
19.
Kerezoudis, Nikolaos P., Leif Olgart, & Kaj Fried. (1993). Localization of NADPH-diaphorase activity in the dental pulp, periodontium and alveolar bone of the rat. Histochemistry and Cell Biology. 100(4). 319–322. 40 indexed citations
20.
Fried, Kaj, Jan Arvidsson, Brita Robertson, Ernst Brodin, & Elvar Theodorsson. (1989). Combined retrograde tracing and enzyme/immunohistochemistry of trigeminal ganglion cell bodies innervating tooth pulps in the rat. Neuroscience. 33(1). 101–109. 82 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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