Sameer B. Shah

3.5k citations
104 papers · 2.7k · h-index 27

Impact in

Papers in

Sameer B. Shah

94 papers receiving 2.7k citations

Peers

Sameer B. Shah
Comparison fields: 5 of 129
  • Cell Biology 575
  • Cellular and Molecular Neuroscience 543
  • Neurology 390
  • Rehabilitation 154
  • Developmental Neuroscience 95
Replace Marı́a Laura Messi with:
Marı́a Laura Messi United States
Dieter Blottner Germany
Martin K. Childers United States
Nicol C. Voermans Netherlands
Lucía Morandi Italy
Linda K. McLoon United States
Mizuho A. Kido Japan
Creed M. Stary United States
Florent Elefteriou United States
L.‐E. Thornell Sweden
Sameer B. Shah relative to Marı́a Laura Messi United States Marı́a Laura Messi's profile →
Citations per field
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Marı́a Laura Messi · 1×
Citations per year

Countries citing papers authored by Sameer B. Shah

Since Specialization
Citations

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

Fields of papers citing papers by Sameer B. Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sameer B. Shah. 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 Sameer B. Shah. The network helps show where Sameer B. Shah may publish in the future.

Co-authors

The 25 scholars most cited alongside Sameer B. Shah, 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 Sameer B. Shah Line = papers co-authored together Sameer B. Shah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016243
2 2003136
3 2011115
4 2004115
5 2007110
6 2000107
7 201297
8 201482
9 202179
10 200274
11 201572
12 201268
13 201465
14 201962
15 201553
16 201451
17 201451
18 200951
19 200851
20 201249

About Sameer B. Shah

Sameer B. Shah is a scholar working on Molecular Biology, Surgery, Cellular and Molecular Neuroscience, Cell Biology and Biomedical Engineering, having authored 104 papers that have together received 2.7k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (18 papers), Cellular Mechanics and Interactions (16 papers), Nerve injury and regeneration (15 papers), Nerve Injury and Rehabilitation (11 papers), Peripheral Nerve Disorders (10 papers), Muscle activation and electromyography studies (8 papers), Microtubule and mitosis dynamics (7 papers) and Skin and Cellular Biology Research (6 papers). The work is most often cited by research in Cell Biology (575 citations), Cellular and Molecular Neuroscience (543 citations), Neurology (390 citations), Rehabilitation (154 citations) and Developmental Neuroscience (95 citations). Sameer B. Shah has collaborated with scholars based in United States, Grenada and Sweden. Frequent co-authors include Richard M. Lovering, Richard L. Lieber, Stephen J. P. Pratt, Yassemi Capetanaki, Shama R. Iyer, Brian P. Head, Ingrid R. Niesman, Joseph P. Stains, Angels Almenar‐Queralt and Matthew L. Pearn. Their work appears in journals such as Muscle & Nerve, Journal of Biomechanics, Ultrasound in Medicine & Biology, Journal of Neuroscience and Frontiers in Cellular Neuroscience.

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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