S Muchnik

584 citations
52 papers · 486 · h-index 12

Impact in

Papers in

S Muchnik

52 papers receiving 469 citations

Peers

S Muchnik
Comparison fields: 5 of 71
  • Physiology 79
  • Cellular and Molecular Neuroscience 201
  • Neurology 98
  • Endocrine and Autonomic Systems 30
  • Molecular Biology 251
Replace Adriana S. Losavio with:
Adriana S. Losavio Argentina
Mohammad Saied Salehi Iran
Naruhito Otsuka Japan
M. Alexandrina Timóteo Portugal
Ana Rita Pinheiro Portugal
Kristian Klemp Denmark
Dora Krizsan‐Agbas United States
Rudi Billeter United Kingdom
Yuta Kajiyama Japan
Kimberly S. Williams United States
S Muchnik relative to Adriana S. Losavio Argentina Adriana S. Losavio's profile →
Citations per field
00.5×1.5×1.8×
Adriana S. Losavio · 1×
Citations per year

Countries citing papers authored by S Muchnik

Since Specialization
Citations

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

Fields of papers citing papers by S Muchnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside S Muchnik, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S Muchnik Line = papers co-authored together S Muchnik links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199759
2 200639
3 198637
4 199731
5 198928
6 200428
7 200018
8 196916
9
[Yawning and temporal lobe epilepsy].
200315
10 200815
11 198713
12
[Dolichoectatic intracranial arteries. Advances in images and therapeutics].
199511
13
Muscular cramp mechanism.
197311
14 199810
15 201010
16 20029
17 19898
18 19738
19
Characteristics of reinnervation of skeletal muscle in the rat.
19767
20 20017

About S Muchnik

S Muchnik is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Biomedical Engineering and Physiology, having authored 52 papers that have together received 486 indexed citations. Recurring topics across this work include Ion channel regulation and function (23 papers), Muscle activation and electromyography studies (11 papers), Neuroscience and Neural Engineering (9 papers), Neuroscience and Neuropharmacology Research (7 papers), Myasthenia Gravis and Thymoma (7 papers), Muscle Physiology and Disorders (5 papers), Cardiomyopathy and Myosin Studies (3 papers) and Pain Mechanisms and Treatments (3 papers). The work is most often cited by research in Physiology (79 citations), Cellular and Molecular Neuroscience (201 citations), Neurology (98 citations), Endocrine and Autonomic Systems (30 citations) and Molecular Biology (251 citations). S Muchnik has collaborated with scholars based in Argentina and United States. Frequent co-authors include Adriana S. Losavio, Basilio A. Kotsias, R. A. Venosa, Claudio Mazia, Olga P. Sanz, Marta Jones, S. M. González Cappa, Gerardo A. Mirkin, Samuel Finkielman and Marisa Aguirre. Their work appears in journals such as Life Sciences, Experimental Neurology, Neuroscience, Nature and Muscle & Nerve.

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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