Thangaraj Pratheep

27 total papers · 431 total citations
22 papers, 266 citations indexed

About

Thangaraj Pratheep is a scholar working on Molecular Biology, Computational Theory and Mathematics and Plant Science. According to data from OpenAlex, Thangaraj Pratheep has authored 22 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 6 papers in Plant Science. Recurrent topics in Thangaraj Pratheep's work include Computational Drug Discovery Methods (6 papers), Phytochemicals and Antioxidant Activities (4 papers) and Essential Oils and Antimicrobial Activity (2 papers). Thangaraj Pratheep is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Phytochemicals and Antioxidant Activities (4 papers) and Essential Oils and Antimicrobial Activity (2 papers). Thangaraj Pratheep collaborates with scholars based in India, South Korea and Saudi Arabia. Thangaraj Pratheep's co-authors include Sangiliyandi Gurunathan, Jin‐Hoi Kim, Muthukalingan Krishnan, Suvro Chatterjee, Uttara Saran, Qilong Cao, Lin Wang, Swaraj Sinha, Jamila H. Siamwala and Saranya Rajendran and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Critical Reviews in Food Science and Nutrition.

In The Last Decade

Thangaraj Pratheep

18 papers receiving 263 citations

Author Peers

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

Author						Papers	Cites
Thangaraj Pratheep	133	43	37	33	29	22	266
Hongwu Sun	96 0.7×	39 0.9×	38 1.0×	66 2.0×	27 0.9×	20	305
Ansar Javeed	77 0.6×	40 0.9×	43 1.2×	9 0.3×	31 1.1×	20	274
Leila Mohammadnejad	151 1.1×	23 0.5×	20 0.5×	34 1.0×	27 0.9×	30	325
Yuzhi Liu	172 1.3×	11 0.3×	10 0.3×	40 1.2×	18 0.6×	14	330
Ana Catalán-Latorre	78 0.6×	69 1.6×	49 1.3×	18 0.5×	7 0.2×	15	328
Devanshi S. Shah	77 0.6×	58 1.3×	11 0.3×	65 2.0×	20 0.7×	16	313
Xinfang Zhang	142 1.1×	12 0.3×	23 0.6×	36 1.1×	17 0.6×	20	316
Yasser Morsy	107 0.8×	19 0.4×	9 0.2×	31 0.9×	21 0.7×	26	257
Yiannis Sarigiannis	58 0.4×	42 1.0×	47 1.3×	29 0.9×	39 1.3×	33	278
Şule Yurdagül Özsoy	92 0.7×	35 0.8×	37 1.0×	19 0.6×	14 0.5×	29	315

Countries citing papers authored by Thangaraj Pratheep

Since Specialization

Citations

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

Fields of papers citing papers by Thangaraj Pratheep

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thangaraj Pratheep

This figure shows the co-authorship network connecting the top 25 collaborators of Thangaraj Pratheep. A scholar is included among the top collaborators of Thangaraj Pratheep 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 Thangaraj Pratheep. Thangaraj Pratheep 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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