Nirav A. Shah

620 citations
7 papers · 490 · h-index 5

Impact in

    • Supramolecular Self-Assembly in Materials
    • Silk-based biomaterials and applications
    • Electrospun Nanofibers in Biomedical Applications

Papers in

    • Nerve Injury and Rehabilitation 1
    • Shoulder Injury and Treatment 1
    • Virology and Viral Diseases 1
    • Shoulder and Clavicle Injuries 1

Nirav A. Shah

7 papers receiving 486 citations

Peers

Nirav A. Shah
Comparison fields: 5 of 61
  • Biomaterials 349
  • Transplantation 29
  • Organic Chemistry 141
  • Microbiology 29
  • Rheumatology 65
Replace Benjamin K. Wang with:
Benjamin K. Wang United States
Byoung Chol Oh United States
Marc Lim United States
Robert P. Davies United Kingdom
Karl Henrikson United States
Zhuowen Hao China
Abhishek A. Jalan United States
Elsa Genové United States
Amanda N. Moore United States
Nichole L. Taylor United States
Nirav A. Shah relative to Benjamin K. Wang United States Benjamin K. Wang's profile →
Citations per field
00.5×5.8×
Benjamin K. Wang · 1×
Citations per year

Countries citing papers authored by Nirav A. Shah

Since Specialization
Citations

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

Fields of papers citing papers by Nirav A. Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2010440
2 201930
3 20136
4 20085
5 20214
6 20163
7
Upper extremity dog bite wounds and infections.
20052

About Nirav A. Shah

Nirav A. Shah is a scholar working on Surgery, Epidemiology, Transplantation, Organic Chemistry and Molecular Biology, having authored 7 papers that have together received 490 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (2 papers), Nerve Injury and Rehabilitation (1 paper), Virology and Viral Diseases (1 paper), Shoulder and Clavicle Injuries (1 paper), Polydiacetylene-based materials and applications (1 paper), Chronic Kidney Disease and Diabetes (1 paper), Shoulder Injury and Treatment (1 paper) and Renal Diseases and Glomerulopathies (1 paper). The work is most often cited by research in Biomaterials (349 citations), Transplantation (29 citations), Organic Chemistry (141 citations), Microbiology (29 citations) and Rheumatology (65 citations). Nirav A. Shah has collaborated with scholars based in United States and Philippines. Frequent co-authors include Caleb Hsieh, Ramille N. Shah, Samuel I. Stupp, Marc Lim, Gordon Nuber, Amit D. Tevar, Christine Wu, Sundaram Hariharan, Dana Jorgensen and Parmjeet Randhawa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Orthopaedic Trauma, Transplantation, Transplantation Direct and Journal of Orthopaedic Science.

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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