Neuroprotective effects of creatine in a transgenic animal model of amyotrophic lateral sclerosis
- Journal
- Nature Medicine
In The Last Decade
doi.org/10.1038/6568 →Countries where authors are citing Neuroprotective effects of creatine in a transgenic animal model of amyotrophic lateral sclerosis
This map shows the geographic impact of Neuroprotective effects of creatine in a transgenic animal model of amyotrophic lateral sclerosis. 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 Neuroprotective effects of creatine in a transgenic animal model of amyotrophic lateral sclerosis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neuroprotective effects of creatine in a transgenic animal model of amyotrophic lateral sclerosis more than expected).
Fields of papers citing Neuroprotective effects of creatine in a transgenic animal model of amyotrophic lateral sclerosis
This network shows the impact of Neuroprotective effects of creatine in a transgenic animal model of amyotrophic lateral sclerosis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Neuroprotective effects of creatine in a transgenic animal model of amyotrophic lateral sclerosis.
About Neuroprotective effects of creatine in a transgenic animal model of amyotrophic lateral sclerosis
This paper, published in 1999, received 554 indexed citations . Written by Péter Klivènyi, Robert J. Ferrante, Russell T. Matthews, Mikhail B. Bogdanov, Autumn Klein, Ole A. Andreassen, Gerald Mueller, Marieke J.H. Wermer, Rima Kaddurah‐Daouk and M. Flint Beal covering the research area of Neurology and Genetics. It is primarily cited by scholars working on Neurology (321 citations), Molecular Biology (228 citations) and Genetics (167 citations). Published in Nature Medicine.
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.
This paper is also available at doi.org/10.1038/6568.