N. Chandra

5.5k total citations · 1 hit paper
142 papers, 4.4k citations indexed

About

N. Chandra is a scholar working on Mechanics of Materials, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, N. Chandra has authored 142 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Mechanics of Materials, 46 papers in Mechanical Engineering and 36 papers in Materials Chemistry. Recurrent topics in N. Chandra's work include Automotive and Human Injury Biomechanics (24 papers), Traumatic Brain Injury Research (24 papers) and Aluminum Alloys Composites Properties (22 papers). N. Chandra is often cited by papers focused on Automotive and Human Injury Biomechanics (24 papers), Traumatic Brain Injury Research (24 papers) and Aluminum Alloys Composites Properties (22 papers). N. Chandra collaborates with scholars based in United States, India and France. N. Chandra's co-authors include C. Shet, Sirish Namilae, H. Ghonem, A. S. Sekhar, H. Li, Shailesh Ganpule, Maciej Skotak, Aravind Sundaramurthy, James Haorah and Jean‐François Silvain and has published in prestigious journals such as PLoS ONE, Physical Review B and Acta Materialia.

In The Last Decade

N. Chandra

138 papers receiving 4.2k citations

Hit Papers

Some issues in the application of cohesive zone models fo... 2002 2026 2010 2018 2002 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
N. Chandra United States 36 1.6k 1.4k 1.1k 745 698 142 4.4k
Raùl Radovitzky United States 34 1.7k 1.1× 955 0.7× 1.0k 0.9× 249 0.3× 293 0.4× 83 3.5k
John Hald Denmark 38 628 0.4× 2.4k 1.8× 1.2k 1.1× 993 1.3× 549 0.8× 163 5.8k
J.A.W. van Dommelen Netherlands 31 790 0.5× 868 0.6× 638 0.6× 390 0.5× 359 0.5× 118 3.5k
Werner Goldsmith United States 39 2.6k 1.6× 1.0k 0.8× 2.6k 2.4× 505 0.7× 515 0.7× 165 6.3k
Francis E. Kennedy United States 39 2.3k 1.5× 1.9k 1.4× 466 0.4× 203 0.3× 175 0.3× 151 6.5k
M.G.D. Geers Netherlands 52 5.9k 3.7× 3.7k 2.7× 3.7k 3.5× 235 0.3× 204 0.3× 311 10.2k
T. Inoue Japan 38 1.4k 0.9× 2.8k 2.1× 2.4k 2.2× 144 0.2× 99 0.1× 252 4.8k
G. Karami United States 34 1.6k 1.0× 603 0.4× 277 0.3× 216 0.3× 293 0.4× 125 2.8k
Gwm Gerrit Peters Netherlands 56 631 0.4× 1.7k 1.2× 1.4k 1.3× 194 0.3× 264 0.4× 259 11.1k
Ludovic Noels Belgium 32 1.7k 1.1× 723 0.5× 569 0.5× 87 0.1× 104 0.1× 127 3.0k

Countries citing papers authored by N. Chandra

Since Specialization
Citations

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

Fields of papers citing papers by N. Chandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Chandra

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

All Works

20 of 20 papers shown
1.
Sharma, Priyanka, Yasha Hasija, Poonam Rana, et al.. (2023). Acute metabolic alterations in the hippocampus are associated with decreased acetylation after blast induced TBI. Metabolomics. 19(1). 5–5. 7 indexed citations
2.
Skotak, Maciej, Arun Reddy Ravula, Kevin Pang, et al.. (2023). Temporal Changes in Functional and Structural Neuronal Activities in Auditory System in Non-Severe Blast-Induced Tinnitus. Medicina. 59(9). 1683–1683.
3.
Ravula, Arun Reddy, et al.. (2021). Animal model of repeated low-level blast traumatic brain injury displays acute and chronic neurobehavioral and neuropathological changes. Experimental Neurology. 349. 113938–113938. 21 indexed citations
4.
Unnikrishnan, Ginu, Venkata Siva Sai Sujith Sajja, Stephen Van Albert, et al.. (2021). Investigation of the direct and indirect mechanisms of primary blast insult to the brain. Scientific Reports. 11(1). 16040–16040. 9 indexed citations
5.
Kim, Jeffrey J., et al.. (2020). The evolution of secondary flow phenomena and their effect on primary shock conditions in shock tubes: Experimentation and numerical model. PLoS ONE. 15(1). e0227125–e0227125. 8 indexed citations
6.
Skotak, Maciej, Aravind Sundaramurthy, Kenneth L. Monson, et al.. (2020). Does Blast Exposure to the Torso Cause a Blood Surge to the Brain?. Frontiers in Bioengineering and Biotechnology. 8. 573647–573647. 12 indexed citations
7.
Chandra, N., et al.. (2020). Blast exposure predisposes the brain to increased neurological deficits in a model of blast plus blunt traumatic brain injury. Experimental Neurology. 332. 113378–113378. 4 indexed citations
8.
Skotak, Maciej, et al.. (2019). A Comprehensive Review of Experimental Rodent Models of Repeated Blast TBI. Frontiers in Neurology. 10. 1015–1015. 28 indexed citations
9.
Skotak, Maciej, et al.. (2019). Occupational Blast Wave Exposure During Multiday 0.50 Caliber Rifle Course. Frontiers in Neurology. 10. 797–797. 23 indexed citations
10.
Skotak, Maciej, et al.. (2018). Effect of Tissue Material Properties in Blast Loading: Coupled Experimentation and Finite Element Simulation. Annals of Biomedical Engineering. 47(9). 2019–2032. 12 indexed citations
11.
Skotak, Maciej, et al.. (2018). On the Accurate Determination of Shock Wave Time-Pressure Profile in the Experimental Models of Blast-Induced Neurotrauma. Frontiers in Neurology. 9. 52–52. 21 indexed citations
12.
14.
Qiu, Yi, Yahui Wang, Yiqing Xu, et al.. (2016). Quantitative optical coherence elastography based on fiber-optic probe for in situ measurement of tissue mechanical properties. Biomedical Optics Express. 7(2). 688–688. 39 indexed citations
15.
Abdul‐Muneer, P. M., Bryan J. Pfister, James Haorah, & N. Chandra. (2015). Role of Matrix Metalloproteinases in the Pathogenesis of Traumatic Brain Injury. Molecular Neurobiology. 53(9). 6106–6123. 81 indexed citations
16.
Skotak, Maciej, et al.. (2013). Rat Injury Model under Controlled Field-Relevant Primary Blast Conditions: Acute Response to a Wide Range of Peak Overpressures. Journal of Neurotrauma. 30(13). 1147–1160. 79 indexed citations
17.
Sundaramurthy, Aravind, et al.. (2012). Blast-Induced Biomechanical Loading of the Rat: An Experimental and Anatomically Accurate Computational Blast Injury Model. Journal of Neurotrauma. 29(13). 2352–2364. 103 indexed citations
18.
Ganpule, Shailesh, et al.. (2012). Mechanics of blast loading on the head models in the study of traumatic brain injury using experimental and computational approaches. Biomechanics and Modeling in Mechanobiology. 12(3). 511–531. 126 indexed citations
19.
Cao, Guoxin & N. Chandra. (2010). Evaluation of biological cell properties using dynamic indentation measurement. Physical Review E. 81(2). 21924–21924. 21 indexed citations
20.
Chandra, N.. (2000). Effect Processing on the Evolution of Interfaces Metal Matrix Composites. Defense Technical Information Center (DTIC). 1 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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