Sameer B. Shah

3.4k total citations
96 papers, 2.6k citations indexed

About

Sameer B. Shah is a scholar working on Surgery, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sameer B. Shah has authored 96 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Surgery, 30 papers in Molecular Biology and 29 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sameer B. Shah's work include Muscle Physiology and Disorders (19 papers), Nerve injury and regeneration (19 papers) and Cellular Mechanics and Interactions (18 papers). Sameer B. Shah is often cited by papers focused on Muscle Physiology and Disorders (19 papers), Nerve injury and regeneration (19 papers) and Cellular Mechanics and Interactions (18 papers). Sameer B. Shah collaborates with scholars based in United States, Grenada and Sweden. Sameer B. Shah's co-authors include Richard M. Lovering, Richard L. Lieber, Stephen J. P. Pratt, Yassemi Capetanaki, Shama R. Iyer, Ingrid R. Niesman, Brian P. Head, Joseph P. Stains, Angels Almenar‐Queralt and Junji Egawa and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and The Journal of Cell Biology.

In The Last Decade

Sameer B. Shah

91 papers receiving 2.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sameer B. Shah	1.1k	580	564	427	423	96	2.6k
Martin K. Childers	1.3k 1.2×	367 0.6×	366 0.6×	551 1.3×	793 1.9×	97	2.9k
Nicol C. Voermans	2.1k 2.0×	398 0.7×	775 1.4×	869 2.0×	658 1.6×	262	4.8k
Sonia Messina	3.0k 2.8×	301 0.5×	505 0.9×	866 2.0×	247 0.6×	114	4.3k
Yann Péréon	1.3k 1.2×	134 0.2×	555 1.0×	402 0.9×	544 1.3×	147	2.7k
Maria Grazia D’Angelo	1.4k 1.3×	140 0.2×	535 0.9×	371 0.9×	217 0.5×	123	2.9k
Olivier Raineteau	1.2k 1.1×	346 0.6×	2.4k 4.2×	580 1.4×	223 0.5×	65	4.9k
Richard M. Lovering	1.7k 1.6×	388 0.7×	405 0.7×	633 1.5×	94 0.2×	100	2.8k
Soheila Karimi‐Abdolrezaee	1.2k 1.2×	367 0.6×	2.3k 4.1×	613 1.4×	215 0.5×	52	4.7k
Julaine Florence	2.9k 2.7×	287 0.5×	631 1.1×	528 1.2×	997 2.4×	66	5.0k
Florence M. Bareyre	1.4k 1.3×	309 0.5×	2.0k 3.5×	362 0.8×	990 2.3×	56	4.8k

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-authorship network of co-authors of Sameer B. Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Sameer B. Shah. A scholar is included among the top collaborators of Sameer B. Shah 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 Sameer B. Shah. Sameer B. Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wu, Yuanshan, Saeed Jerban, Aiguo Han, et al.. (2024). Quantitative ultrasound assessment of fatty infiltration of the rotator cuff muscles using backscatter coefficient. European Radiology Experimental. 8(1). 119–119.

Suliman, Ahmed, et al.. (2024). Rapid, Detergent-Free Method for Creation of Acellular Nerve Allografts. Plastic & Reconstructive Surgery Global Open. 12(S8). 38–38. 1 indexed citations

Wu, Yuanshan, et al.. (2024). Influences of Variability in Attenuation Compensation on the Estimation of Backscatter Coefficient of Median Nerves in Vivo. Journal of Ultrasound in Medicine. 44(1). 97–109.

Shah, Sameer B., et al.. (2024). Post-mortem Tissue Degassing Using Positive Pressure Is Superior to Negative Pressure. Ultrasound in Medicine & Biology. 50(8). 1287–1291. 1 indexed citations

Jerban, Saeed, et al.. (2023). Quantitative Ultrasound Techniques Used for Peripheral Nerve Assessment. Diagnostics. 13(5). 956–956. 10 indexed citations

Lovering, Richard M., et al.. (2023). Injured nerves respond favorably to an integrated tension- and conduit-based regenerative strategy. 2. 1 indexed citations

Chang, Eric Y., Xin Cheng, Saeed Jerban, et al.. (2023). Rotator cuff muscle fibrosis can be assessed using ultrashort echo time magnetization transfer MRI with fat suppression. NMR in Biomedicine. 37(2). e5058–e5058. 3 indexed citations

Jerban, Saeed, et al.. (2023). Skeletal Muscle Assessment Using Quantitative Ultrasound: A Narrative Review. Sensors. 23(10). 4763–4763. 18 indexed citations

Maldonado, Amir, et al.. (2020). Effects of paclitaxel on the viscoelastic properties of mouse sensory nerves. Journal of Biomechanics. 115. 110125–110125. 3 indexed citations

10.

Fan, Shujuan, Jonathan Wong, Xin Cheng, et al.. (2018). Feasibility of quantitative ultrashort echo time (UTE)‐based methods for MRI of peripheral nerve. NMR in Biomedicine. 31(9). e3948–e3948. 3 indexed citations

11.

Makarenkova, Helen P., Sameer B. Shah, & Valery I. Shestopalov. (2018). The two faces of pannexins: new roles in inflammation and repair. Journal of Inflammation Research. Volume 11. 273–288. 37 indexed citations

12.

Ward, Samuel R., et al.. (2016). Regional Ulnar Nerve Strain Following Decompression and Anterior Subcutaneous Transposition in Patients With Cubital Tunnel Syndrome. The Journal Of Hand Surgery. 41(10). e343–e350. 15 indexed citations

13.

Gaskell, Karen J., et al.. (2016). Characterization of fluorescent iron nanoparticles—candidates for multimodal tracking of neuronal transport. SHILAP Revista de lepidopterología. 3(3). 362–378. 2 indexed citations

14.

Bremner, Shannon N., Troy A. Hornberger, Gretchen A. Meyer, et al.. (2014). Muscle intermediate filaments form a stress-transmitting and stress- signaling network in muscle. Journal of Cell Science. 128(2). 219–24. 47 indexed citations

15.

Wilson, R., et al.. (2012). A Novel Internal Fixator Device for Peripheral Nerve Regeneration. Tissue Engineering Part C Methods. 19(6). 427–437. 12 indexed citations

16.

Reis, Gerald F., Ge Yang, Lukasz Szpankowski, et al.. (2012). Molecular motor function in axonal transport in vivo probed by genetic and computational analysis inDrosophila. Molecular Biology of the Cell. 23(9). 1700–1714. 67 indexed citations

17.

Velde, Christine Vande, Melissa McAlonis‐Downes, Christian S. Lobsiger, et al.. (2011). Misfolded SOD1 Associated with Motor Neuron Mitochondria Alters Mitochondrial Shape and Distribution Prior to Clinical Onset. PLoS ONE. 6(7). e22031–e22031. 109 indexed citations

18.

Shah, Sameer B., Gorazd B. Stokin, Ingrid R. Niesman, et al.. (2009). Examination of potential mechanisms of amyloid-induced defects in neuronal transport. Neurobiology of Disease. 36(1). 11–25. 37 indexed citations

19.

Bueno, Franklin Rivera & Sameer B. Shah. (2008). Implications of Tensile Loading for the Tissue Engineering of Nerves. Tissue Engineering Part B Reviews. 14(3). 219–233. 50 indexed citations

20.

Cavalli, Valeria, Sameer B. Shah, Kristina Schimmelpfeng, et al.. (2007). Dynactin Is Required for Coordinated Bidirectional Motility, but Not for Dynein Membrane Attachment. Molecular Biology of the Cell. 18(6). 2081–2089. 100 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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