Suman Nayak

37 total papers · 570 total citations
28 papers, 399 citations indexed

About

Suman Nayak is a scholar working on Materials Chemistry, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Suman Nayak has authored 28 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 9 papers in Biomedical Engineering and 6 papers in Molecular Biology. Recurrent topics in Suman Nayak's work include Carbon and Quantum Dots Applications (7 papers), Luminescence and Fluorescent Materials (6 papers) and Nanocluster Synthesis and Applications (5 papers). Suman Nayak is often cited by papers focused on Carbon and Quantum Dots Applications (7 papers), Luminescence and Fluorescent Materials (6 papers) and Nanocluster Synthesis and Applications (5 papers). Suman Nayak collaborates with scholars based in India, United States and South Korea. Suman Nayak's co-authors include Prolay Das, Debabrata Mandal, Surendra Rajit Prasad, Paresh Kale, P. Balasubramanian, Michael J. McShane, Rangabhashiyam Selvasembian, Atikur Hassan, Sushanto Gouda and Jayanta Kumar Patra and has published in prestigious journals such as Journal of Hazardous Materials, Chemical Communications and Nanoscale.

In The Last Decade

Suman Nayak

27 papers receiving 398 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Suman Nayak	176	101	92	60	49	28	399
Jiayi Yang	131 0.7×	117 1.2×	72 0.8×	69 1.1×	104 2.1×	20	436
Qiao Liu	231 1.3×	64 0.6×	71 0.8×	49 0.8×	31 0.6×	27	369
Shaojun Huang	116 0.7×	69 0.7×	84 0.9×	64 1.1×	25 0.5×	22	415
Yi Lan	142 0.8×	190 1.9×	142 1.5×	89 1.5×	45 0.9×	20	398
İmren Özcan	147 0.8×	130 1.3×	59 0.6×	80 1.3×	41 0.8×	31	409
Rohit Goyat	132 0.8×	172 1.7×	91 1.0×	109 1.8×	30 0.6×	15	426
Yajvinder Saharan	131 0.7×	171 1.7×	92 1.0×	108 1.8×	31 0.6×	13	416
Ruichen Zhang	147 0.8×	60 0.6×	53 0.6×	57 0.9×	24 0.5×	25	349
Alexandre Chevillot‐Biraud	163 0.9×	108 1.1×	81 0.9×	71 1.2×	26 0.5×	28	442
Cuixian Yang	163 0.9×	175 1.7×	78 0.8×	39 0.7×	38 0.8×	19	420

Countries citing papers authored by Suman Nayak

Since Specialization

Citations

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

Fields of papers citing papers by Suman Nayak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suman Nayak

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

All Works

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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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