Pradeep Neelakanda

1.5k total citations
17 papers, 1.3k citations indexed

About

Pradeep Neelakanda is a scholar working on Materials Chemistry, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Pradeep Neelakanda has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Materials Chemistry, 8 papers in Biomedical Engineering and 6 papers in Mechanical Engineering. Recurrent topics in Pradeep Neelakanda's work include Membrane Separation and Gas Transport (6 papers), Membrane Separation Technologies (5 papers) and Block Copolymer Self-Assembly (5 papers). Pradeep Neelakanda is often cited by papers focused on Membrane Separation and Gas Transport (6 papers), Membrane Separation Technologies (5 papers) and Block Copolymer Self-Assembly (5 papers). Pradeep Neelakanda collaborates with scholars based in Saudi Arabia and Germany. Pradeep Neelakanda's co-authors include Klaus‐Viktor Peinemann, Suzana P. Nunes, Liliana Pérez‐Manríquez, Madhavan Karunakaran, Ali R. Behzad, Rachid Sougrat, Xiaoyan Qiu, Haizhou Yu, Ulla Vainio and Jamaliah Aburabie and has published in prestigious journals such as ACS Nano, Langmuir and Chemical Communications.

In The Last Decade

Pradeep Neelakanda

17 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pradeep Neelakanda Saudi Arabia 16 628 588 573 513 242 17 1.3k
Tiefan Huang China 16 751 1.2× 631 1.1× 455 0.8× 493 1.0× 178 0.7× 27 1.3k
Madhavan Karunakaran Saudi Arabia 16 542 0.9× 417 0.7× 747 1.3× 780 1.5× 172 0.7× 19 1.4k
Zhaogen Wang China 19 403 0.6× 330 0.6× 458 0.8× 246 0.5× 160 0.7× 37 1.0k
Victor Kusuma United States 22 429 0.7× 345 0.6× 480 0.8× 843 1.6× 101 0.4× 45 1.4k
Hyo Kang South Korea 20 488 0.8× 515 0.9× 296 0.5× 176 0.3× 234 1.0× 81 1.3k
Jing-She Song Canada 11 267 0.4× 271 0.5× 872 1.5× 946 1.8× 386 1.6× 12 1.6k
Muhammad Irshad Baig Netherlands 17 601 1.0× 368 0.6× 177 0.3× 451 0.9× 63 0.3× 22 887
Jiemei Zhou China 16 294 0.5× 253 0.4× 229 0.4× 162 0.3× 160 0.7× 36 680
Liheng Dai China 19 281 0.4× 300 0.5× 429 0.7× 296 0.6× 48 0.2× 38 1.1k
Teruhiko Kai Japan 17 292 0.5× 267 0.5× 298 0.5× 578 1.1× 61 0.3× 31 1.0k

Countries citing papers authored by Pradeep Neelakanda

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Neelakanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradeep Neelakanda

This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep Neelakanda. A scholar is included among the top collaborators of Pradeep Neelakanda 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 Pradeep Neelakanda. Pradeep Neelakanda 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.
Chakrabarty, Tina, Pradeep Neelakanda, & Klaus‐Viktor Peinemann. (2018). CO2 Selective, Zeolitic Imidazolate Framework-7 Based Polymer Composite Mixed-Matrix Membranes. Journal of Materials Science Research. 7(3). 1–1. 3 indexed citations
2.
Pérez‐Manríquez, Liliana, Pradeep Neelakanda, & Klaus‐Viktor Peinemann. (2018). Morin-based nanofiltration membranes for organic solvent separation processes. Journal of Membrane Science. 554. 1–5. 37 indexed citations
3.
Chakrabarty, Tina, Liliana Pérez‐Manríquez, Pradeep Neelakanda, & Klaus‐Viktor Peinemann. (2017). Bioinspired tannic acid-copper complexes as selective coating for nanofiltration membranes. Separation and Purification Technology. 184. 188–194. 80 indexed citations
4.
Alsaiari, Shahad K., Mohamed Amen Hammami, Jonas G. Croissant, et al.. (2017). Colloidal Gold Nanoclusters Spiked Silica Fillers in Mixed Matrix Coatings: Simultaneous Detection and Inhibition of Healthcare‐Associated Infections. Advanced Healthcare Materials. 6(6). 24 indexed citations
5.
Pérez‐Manríquez, Liliana, Pradeep Neelakanda, & Klaus‐Viktor Peinemann. (2017). Tannin-based thin-film composite membranes for solvent nanofiltration. Journal of Membrane Science. 541. 137–142. 66 indexed citations
6.
Yu, Haizhou, Xiaoyan Qiu, Pradeep Neelakanda, et al.. (2015). Hollow ZIF-8 Nanoworms from Block Copolymer Templates. Scientific Reports. 5(1). 15275–15275. 35 indexed citations
7.
Neelakanda, Pradeep, et al.. (2015). Polymer supported ZIF-8 membranes by conversion of sputtered zinc oxide layers. Microporous and Mesoporous Materials. 220. 215–219. 54 indexed citations
8.
Puspasari, Tiara, Pradeep Neelakanda, & Klaus‐Viktor Peinemann. (2015). Crosslinked cellulose thin film composite nanofiltration membranes with zero salt rejection. Journal of Membrane Science. 491. 132–137. 66 indexed citations
9.
Aburabie, Jamaliah, Pradeep Neelakanda, Madhavan Karunakaran, & Klaus‐Viktor Peinemann. (2014). Thin-film composite crosslinked polythiosemicarbazide membranes for organic solvent nanofiltration (OSN). Reactive and Functional Polymers. 86. 225–232. 42 indexed citations
10.
Pérez‐Manríquez, Liliana, Jamaliah Aburabie, Pradeep Neelakanda, & Klaus‐Viktor Peinemann. (2014). Cross-linked PAN-based thin-film composite membranes for non-aqueous nanofiltration. Reactive and Functional Polymers. 86. 243–247. 99 indexed citations
11.
Hilke, Roland, Pradeep Neelakanda, Ali R. Behzad, Suzana P. Nunes, & Klaus‐Viktor Peinemann. (2014). Block copolymer/homopolymer dual-layer hollow fiber membranes. Journal of Membrane Science. 472. 39–44. 35 indexed citations
12.
Neelakanda, Pradeep, et al.. (2013). Zeolite-imidazolate framework (ZIF-8) membrane synthesis on a mixed-matrix substrate. Chemical Communications. 49(82). 9419–9419. 57 indexed citations
13.
Villalobos, Luis Francisco, Pradeep Neelakanda, Madhavan Karunakaran, Dongkyu Cha, & Klaus‐Viktor Peinemann. (2013). Poly-thiosemicarbazide/gold nanoparticles catalytic membrane: In-situ growth of well-dispersed, uniform and stable gold nanoparticles in a polymeric membrane. Catalysis Today. 236. 92–97. 22 indexed citations
14.
Hilke, Roland, Pradeep Neelakanda, Ulla Vainio, et al.. (2013). Block Copolymer Hollow Fiber Membranes with Catalytic Activity and pH-Response. ACS Applied Materials & Interfaces. 5(15). 7001–7006. 65 indexed citations
15.
Qiu, Xiaoyan, Haizhou Yu, Madhavan Karunakaran, et al.. (2012). Selective Separation of Similarly Sized Proteins with Tunable Nanoporous Block Copolymer Membranes. ACS Nano. 7(1). 768–776. 252 indexed citations
16.
Nunes, Suzana P., Madhavan Karunakaran, Pradeep Neelakanda, et al.. (2011). From Micelle Supramolecular Assemblies in Selective Solvents to Isoporous Membranes. Langmuir. 27(16). 10184–10190. 99 indexed citations
17.
Nunes, Suzana P., Ali R. Behzad, Rachid Sougrat, et al.. (2011). Switchable pH-Responsive Polymeric Membranes Prepared via Block Copolymer Micelle Assembly. ACS Nano. 5(5). 3516–3522. 256 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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