Suman Labala

701 total citations
11 papers, 568 citations indexed

About

Suman Labala is a scholar working on Molecular Biology, Pharmaceutical Science and Biomaterials. According to data from OpenAlex, Suman Labala has authored 11 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Pharmaceutical Science and 3 papers in Biomaterials. Recurrent topics in Suman Labala's work include Advancements in Transdermal Drug Delivery (4 papers), RNA Interference and Gene Delivery (4 papers) and Immunotherapy and Immune Responses (3 papers). Suman Labala is often cited by papers focused on Advancements in Transdermal Drug Delivery (4 papers), RNA Interference and Gene Delivery (4 papers) and Immunotherapy and Immune Responses (3 papers). Suman Labala collaborates with scholars based in India. Suman Labala's co-authors include Venkata Vamsi Krishna Venuganti, Sudeep Kumar Gade, Shubhmita Bhatnagar, Onkar P. Kulkarni, Janupally Renuka, Dharmarajan Sriram, Shweta Pawar, Anupam Bhattacharya and Amit Nag and has published in prestigious journals such as International Journal of Pharmaceutics, Colloids and Surfaces B Biointerfaces and Molecular Pharmaceutics.

In The Last Decade

Suman Labala

11 papers receiving 564 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suman Labala India 10 252 164 150 119 93 11 568
Jacob D. Ramsey United States 12 240 1.0× 133 0.8× 357 2.4× 246 2.1× 53 0.6× 19 820
Kavita R. Gajbhiye India 11 279 1.1× 224 1.4× 260 1.7× 177 1.5× 35 0.4× 27 687
Feilong Zhou China 17 172 0.7× 93 0.6× 114 0.8× 59 0.5× 26 0.3× 45 635
Chao‐Hsuan Chen Taiwan 13 230 0.9× 69 0.4× 70 0.5× 80 0.7× 58 0.6× 41 629
Benedetta Ferrara Italy 17 314 1.2× 152 0.9× 222 1.5× 157 1.3× 98 1.1× 27 765
Haiyang Hu China 7 106 0.4× 70 0.4× 91 0.6× 154 1.3× 45 0.5× 18 415
Shaoping Yin China 14 254 1.0× 126 0.8× 326 2.2× 243 2.0× 42 0.5× 26 768
Ana Camila Marques Portugal 9 215 0.9× 91 0.6× 223 1.5× 188 1.6× 36 0.4× 12 538
Marina Claro de Souza Brazil 4 220 0.9× 136 0.8× 226 1.5× 108 0.9× 31 0.3× 4 504
Yongwei Gu China 16 535 2.1× 219 1.3× 201 1.3× 272 2.3× 147 1.6× 30 1.0k

Countries citing papers authored by Suman Labala

Since Specialization
Citations

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

Fields of papers citing papers by Suman Labala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suman Labala

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

All Works

11 of 11 papers shown
1.
Labala, Suman, et al.. (2017). Effective melanoma cancer suppression by iontophoretic co-delivery of STAT3 siRNA and imatinib using gold nanoparticles. International Journal of Pharmaceutics. 525(2). 407–417. 91 indexed citations
2.
Labala, Suman, et al.. (2017). Effective Skin Cancer Treatment by Topical Co-delivery of Curcumin and STAT3 siRNA Using Cationic Liposomes. AAPS PharmSciTech. 19(1). 166–175. 123 indexed citations
3.
Labala, Suman, et al.. (2016). Layer-by-Layer Thin Films for Co-Delivery of TGF-β siRNA and Epidermal Growth Factor to Improve Excisional Wound Healing. AAPS PharmSciTech. 18(3). 809–820. 34 indexed citations
4.
Labala, Suman, et al.. (2016). Transcutaneous iontophoretic delivery of STAT3 siRNA using layer-by-layer chitosan coated gold nanoparticles to treat melanoma. Colloids and Surfaces B Biointerfaces. 146. 188–197. 76 indexed citations
5.
Labala, Suman, et al.. (2016). Co-delivery of curcumin and STAT3 siRNA using deformable cationic liposomes to treat skin cancer. Journal of drug targeting. 25(4). 330–341. 89 indexed citations
7.
Labala, Suman, et al.. (2015). Effect of pirfenidone delivered using layer-by-layer thin film on excisional wound healing. European Journal of Pharmaceutical Sciences. 83. 166–174. 29 indexed citations
8.
Labala, Suman, et al.. (2015). Polymer–gold nanoparticle composite films for topical application: Evaluation of physical properties and antibacterial activity. Polymer Composites. 38(12). 2829–2840. 19 indexed citations
9.
Labala, Suman, et al.. (2015). Layer-by-Layer Polymer Coated Gold Nanoparticles for Topical Delivery of Imatinib Mesylate To Treat Melanoma. Molecular Pharmaceutics. 12(3). 878–888. 75 indexed citations
10.
Labala, Suman, et al.. (2014). Encapsulation of albumin in self-assembled layer-by-layer microcapsules: comparison of co-precipitation and adsorption techniques. Drug Development and Industrial Pharmacy. 41(8). 1302–1310. 3 indexed citations
11.
Labala, Suman, et al.. (2013). Influence of charge on encapsulation and release behavior of small molecules in self-assembled layer-by-layer microcapsules. Drug Delivery. 21(8). 605–614. 14 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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