Malini Subramaniam

815 total citations
22 papers, 649 citations indexed

About

Malini Subramaniam is a scholar working on Speech and Hearing, Sensory Systems and Cognitive Neuroscience. According to data from OpenAlex, Malini Subramaniam has authored 22 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Speech and Hearing, 14 papers in Sensory Systems and 12 papers in Cognitive Neuroscience. Recurrent topics in Malini Subramaniam's work include Hearing, Cochlea, Tinnitus, Genetics (14 papers), Noise Effects and Management (14 papers) and Hearing Loss and Rehabilitation (12 papers). Malini Subramaniam is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (14 papers), Noise Effects and Management (14 papers) and Hearing Loss and Rehabilitation (12 papers). Malini Subramaniam collaborates with scholars based in United States, France and Malaysia. Malini Subramaniam's co-authors include Donald Henderson, Pierre Campo, Vlasta Spongr, Flint A. Boettcher, Samuel Saunders, Nicholas Powers, Arun Gupta, Michael Anne Gratton, Richard Salvi and Swati Sharma and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Journal of Applied Polymer Science.

In The Last Decade

Malini Subramaniam

20 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malini Subramaniam United States 15 502 401 351 108 37 22 649
Pierre Campo France 19 676 1.3× 455 1.1× 504 1.4× 136 1.3× 29 0.8× 52 905
Mark E. Chertoff United States 16 549 1.1× 571 1.4× 213 0.6× 136 1.3× 14 0.4× 49 693
Josef Miller United States 12 188 0.4× 289 0.7× 119 0.3× 66 0.6× 28 0.8× 22 582
Adrián Fuente Canada 17 458 0.9× 501 1.2× 485 1.4× 56 0.5× 9 0.2× 65 794
Nellie K. Laughlin United States 16 119 0.2× 157 0.4× 77 0.2× 20 0.2× 25 0.7× 37 577
Xiang-Yang Zheng United States 11 393 0.8× 295 0.7× 147 0.4× 121 1.1× 20 0.5× 13 431
Adam Dudarewicz Poland 18 452 0.9× 430 1.1× 562 1.6× 85 0.8× 8 0.2× 67 934
John B. Mott United States 7 198 0.4× 215 0.5× 54 0.2× 102 0.9× 17 0.5× 8 326
David M. Lipscomb United States 12 172 0.3× 197 0.5× 202 0.6× 44 0.4× 15 0.4× 28 425
Tanisha L. Hammill United States 12 342 0.7× 259 0.6× 189 0.5× 124 1.1× 8 0.2× 17 424

Countries citing papers authored by Malini Subramaniam

Since Specialization
Citations

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

Fields of papers citing papers by Malini Subramaniam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malini Subramaniam

This figure shows the co-authorship network connecting the top 25 collaborators of Malini Subramaniam. A scholar is included among the top collaborators of Malini Subramaniam 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 Malini Subramaniam. Malini Subramaniam 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.
D’Mello, Veera, et al.. (2023). Intranasal Leukemia Inhibitory Factor Attenuates Gliosis and Axonal Injury and Improves Sensorimotor Function After a Mild Pediatric Traumatic Brain Injury. SHILAP Revista de lepidopterología. 4(1). 236–250. 5 indexed citations
2.
Subramaniam, Malini, et al.. (2017). Evaluation on the Thermo-Oxidative Degradation of PET using Prodegradant Additives. Indian Journal of Science and Technology. 10(6). 1–5. 20 indexed citations
3.
Sharma, Swati, et al.. (2017). STUDY OF DIFFERENT TREATMENT METHODS ON CHICKEN FEATHER BIOMASS. IIUM Engineering Journal. 18(2). 47–55. 20 indexed citations
4.
Subramaniam, Malini, Swati Sharma, Arun Gupta, & Norhayati Abdullah. (2017). Enhanced degradation properties of polypropylene integrated with iron and cobalt stearates and its synthetic application. Journal of Applied Polymer Science. 135(12). 12 indexed citations
5.
Henderson, Donald & Malini Subramaniam. (1996). Advances in Our Understanding of Noise-Induced Hearing Loss. Applied Occupational and Environmental Hygiene. 11(4). 255–260. 2 indexed citations
6.
Henderson, Donald, et al.. (1995). Effects of Noise Exposure, Race, and Years of Service on Hearing in U.S. Army Soldiers. Ear and Hearing. 16(4). 382–391. 46 indexed citations
7.
8.
Henderson, Donald, et al.. (1995). Effect of ‘‘conditioning’’ on hearing loss from military noise exposures. The Journal of the Acoustical Society of America. 97(5_Supplement). 3343–3344.
9.
Henderson, Donald, et al.. (1994). The effect of ‘conditioning’ exposures on hearing loss from impulse noise. Hearing Research. 78(1). 1–10. 40 indexed citations
10.
Subramaniam, Malini, Richard Salvi, Vlasta Spongr, Donald Henderson, & Nicholas Powers. (1994). Changes in distortion product otoacoustic emissions and outer hair cells following interrupted noise exposures. Hearing Research. 74(1-2). 204–216. 40 indexed citations
11.
Henderson, Donald, Vlasta Spongr, Malini Subramaniam, & Pierre Campo. (1994). Anatomical effects of impact noise. Hearing Research. 76(1-2). 101–117. 46 indexed citations
12.
Henderson, Donald, et al.. (1994). The role of middle ear muscles in the development of resistance to noise induced hearing loss. Hearing Research. 74(1-2). 22–28. 29 indexed citations
13.
Henderson, Donald, Malini Subramaniam, & Flint A. Boettcher. (1993). Individual Susceptibility to Noise-Induced Hearing loss. Ear and Hearing. 14(3). 152–168. 125 indexed citations
14.
Subramaniam, Malini, Donald Henderson, & Vlasta Spongr. (1993). Protection from noise induced hearing loss: Is prolonged ‘conditioning’ necessary?. Hearing Research. 65(1-2). 234–239. 18 indexed citations
15.
Subramaniam, Malini, Donald Henderson, & Vlasta Spongr. (1993). Effect of low-frequency ‘‘conditioning’’ on hearing loss from high-frequency exposure. The Journal of the Acoustical Society of America. 93(2). 952–956. 15 indexed citations
16.
Subramaniam, Malini, Donald Henderson, Pierre Campo, & Vlasta Spongr. (1992). The effect of ‘conditioning’ on hearing loss from a high frequency traumatic exposure. Hearing Research. 58(1). 57–62. 38 indexed citations
17.
Campo, Pierre, Malini Subramaniam, & Donald Henderson. (1991). The effect of ‘conditioning’ exposures on hearing loss from traumatic exposure. Hearing Research. 55(2). 195–200. 73 indexed citations
18.
Subramaniam, Malini, Pierre Campo, & Donald Henderson. (1991). Development of resistance to hearing loss from high frequency noise. Hearing Research. 56(1-2). 65–68. 22 indexed citations
19.
Subramaniam, Malini, Pierre Campo, & Donald Henderson. (1991). The effect of exposure level on the development of progressive resistance to noise. Hearing Research. 52(1). 181–187. 46 indexed citations
20.
Subramaniam, Malini, Richard Salvi, Samuel Saunders, & Flint A. Boettcher. (1990). Evoked-Response Tone-on-Tone Masking in the Chinchilla: Effect of Masker Frequency. International Journal of Audiology. 29(4). 202–211. 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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