Sumit Gangwal

2.9k total citations · 2 hit papers
17 papers, 2.4k citations indexed

About

Sumit Gangwal is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Sumit Gangwal has authored 17 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 7 papers in Electrical and Electronic Engineering and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Sumit Gangwal's work include Pickering emulsions and particle stabilization (4 papers), Electrohydrodynamics and Fluid Dynamics (3 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). Sumit Gangwal is often cited by papers focused on Pickering emulsions and particle stabilization (4 papers), Electrohydrodynamics and Fluid Dynamics (3 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). Sumit Gangwal collaborates with scholars based in United States, Germany and United Kingdom. Sumit Gangwal's co-authors include Orlin D. Velev, Olivier J. Cayre, Elaine A. Cohen Hubal, Martin Z. Bazant, Amy Wang, Keith A. Houck, Manuel Márquez, Stoyan K. Smoukov, Joseph S. Brown and Alexander P. Richter and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Environmental Science & Technology.

In The Last Decade

Sumit Gangwal

17 papers receiving 2.3k citations

Hit Papers

An environmentally benign antimicrobial nanoparticle ... 2008 2026 2014 2020 2015 2008 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sumit Gangwal United States 14 1.0k 992 528 381 317 17 2.4k
Bhuvnesh Bharti United States 31 1.5k 1.4× 1.2k 1.2× 639 1.2× 249 0.7× 69 0.2× 77 3.3k
Linlin Xu China 30 704 0.7× 1.1k 1.1× 319 0.6× 530 1.4× 43 0.1× 168 2.7k
Bum Jun Park South Korea 37 800 0.8× 2.7k 2.7× 272 0.5× 700 1.8× 49 0.2× 149 4.4k
Meenakshi Verma India 31 488 0.5× 1.5k 1.5× 63 0.1× 421 1.1× 79 0.2× 191 3.2k
Jian Jiang China 33 529 0.5× 1.3k 1.3× 72 0.1× 1.8k 4.8× 158 0.5× 128 3.9k
Lijun Wang China 29 608 0.6× 673 0.7× 53 0.1× 287 0.8× 103 0.3× 140 2.4k
Yan Cai China 27 366 0.4× 1.2k 1.2× 147 0.3× 341 0.9× 90 0.3× 160 2.8k
Beatriz Jurado‐Sánchez Spain 40 3.1k 3.0× 1.0k 1.0× 3.0k 5.6× 395 1.0× 305 1.0× 102 5.1k
Etsuo Kokufuta Japan 38 1.1k 1.1× 565 0.6× 254 0.5× 405 1.1× 46 0.1× 154 4.6k
Siew Chun Low Malaysia 29 1.2k 1.1× 643 0.6× 76 0.1× 516 1.4× 41 0.1× 142 3.1k

Countries citing papers authored by Sumit Gangwal

Since Specialization
Citations

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

Fields of papers citing papers by Sumit Gangwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumit Gangwal

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

All Works

17 of 17 papers shown
1.
Shimizu, Ken D., Marcel R. Böhmer, Sumit Gangwal, et al.. (2018). 32‐1: On‐chip Red Quantum Dots in White LEDs for General Illumination. SID Symposium Digest of Technical Papers. 49(1). 405–408. 3 indexed citations
2.
Shimizu, Ken T., Marcel R. Böhmer, Sumit Gangwal, et al.. (2017). Toward commercial realization of quantum dot based white light-emitting diodes for general illumination. Photonics Research. 5(2). A1–A1. 85 indexed citations
3.
Powell, Adrian R., Joseph J. Sumakeris, Michael J. Paisley, et al.. (2016). Bulk Growth of Large Area SiC Crystals. Materials science forum. 858. 5–10. 52 indexed citations
4.
Richter, Alexander P., Joseph S. Brown, Bhuvnesh Bharti, et al.. (2015). An environmentally benign antimicrobial nanoparticle based on a silver-infused lignin core. Nature Nanotechnology. 10(9). 817–823. 503 indexed citations breakdown →
5.
Smoukov, Stoyan K., Tian Tian, Narendiran Vitchuli, et al.. (2015). Scalable Liquid Shear‐Driven Fabrication of Polymer Nanofibers. Advanced Materials. 27(16). 2642–2647. 46 indexed citations
6.
Wambaugh, John F., R. Woodrow Setzer, David M. Reif, et al.. (2013). High-Throughput Models for Exposure-Based Chemical Prioritization in the ExpoCast Project. Environmental Science & Technology. 47(15). 2405996838–2405996838. 168 indexed citations
7.
Gangwal, Sumit, et al.. (2013). Nanofibres: New scalable technology platform for producing polymeric nanofibres. Filtration & Separation. 50(2). 30–33. 9 indexed citations
8.
Gangwal, Sumit, David M. Reif, Peter Egeghy, et al.. (2012). Incorporating exposure information into the toxicological prioritization index decision support framework. The Science of The Total Environment. 435-436. 316–325. 24 indexed citations
9.
Judson, Richard, Matthew T. Martin, Peter Egeghy, et al.. (2012). Aggregating Data for Computational Toxicology Applications: The U.S. Environmental Protection Agency (EPA) Aggregated Computational Toxicology Resource (ACToR) System. International Journal of Molecular Sciences. 13(2). 1805–1831. 73 indexed citations
10.
Gangwal, Sumit, James S. Brown, Amy Wang, et al.. (2011). Informing Selection of Nanomaterial Concentrations for ToxCast in Vitro Testing Based on Occupational Exposure Potential. Environmental Health Perspectives. 119(11). 1539–1546. 134 indexed citations
11.
Egeghy, Peter, Richard Judson, Sumit Gangwal, et al.. (2011). The exposure data landscape for manufactured chemicals. The Science of The Total Environment. 414. 159–166. 151 indexed citations
12.
Gangwal, Sumit. (2010). Directed assembly and manipulation of anisotropic colloidal particles by external fields. NCSU Libraries Repository (North Carolina State University Libraries). 1 indexed citations
13.
Gangwal, Sumit, Amar B. Pawar, Ilona Kretzschmar, & Orlin D. Velev. (2010). Programmed assembly of metallodielectric patchy particles in external AC electric fields. Soft Matter. 6(7). 1413–1413. 114 indexed citations
14.
Velev, Orlin D., Sumit Gangwal, & Dimiter N. Petsev. (2009). Particle-localized AC and DC manipulation and electrokinetics. Annual Reports Section C (Physical Chemistry). 105. 213–213. 126 indexed citations
15.
Smoukov, Stoyan K., Sumit Gangwal, Manuel Márquez, & Orlin D. Velev. (2009). Reconfigurable responsive structures assembled from magnetic Janus particles. Soft Matter. 5(6). 1285–1285. 205 indexed citations
16.
Gangwal, Sumit, Olivier J. Cayre, & Orlin D. Velev. (2008). Dielectrophoretic Assembly of Metallodielectric Janus Particles in AC Electric Fields. Langmuir. 24(23). 13312–13320. 255 indexed citations
17.
Gangwal, Sumit, Olivier J. Cayre, Martin Z. Bazant, & Orlin D. Velev. (2008). Induced-Charge Electrophoresis of Metallodielectric Particles. Physical Review Letters. 100(5). 58302–58302. 438 indexed citations breakdown →

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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