Masha G. Savelieff

65 papers and 4.5k indexed citations i.

About

Masha G. Savelieff is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Masha G. Savelieff has authored 65 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 23 papers in Physiology and 17 papers in Neurology. Recurrent topics in Masha G. Savelieff’s work include Amyotrophic Lateral Sclerosis Research (13 papers), Alzheimer's disease research and treatments (9 papers) and Neurogenetic and Muscular Disorders Research (7 papers). Masha G. Savelieff is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (13 papers), Alzheimer's disease research and treatments (9 papers) and Neurogenetic and Muscular Disorders Research (7 papers). Masha G. Savelieff collaborates with scholars based in United States, United Kingdom and Lebanon. Masha G. Savelieff's co-authors include Mi Hee Lim, Eva L. Feldman, Ulrich Kortz, Hyuck Jin Lee, Stephen A. Goutman, Yuzhong Liu, Bassem S. Bassil, Sanghyun Lee, Shin Jung C. Lee and Eunju Nam and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Chemical Reviews and The Lancet.

In The Last Decade

Co-authorship network of co-authors of Masha G. Savelieff i

Fields of papers citing papers by Masha G. Savelieff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Masha G. Savelieff. 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 Masha G. Savelieff. The network helps show where Masha G. Savelieff may publish in the future.

Countries citing papers authored by Masha G. Savelieff

Since Specialization
Citations

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

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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