Serawit Deyno

37 total papers · 753 total citations
27 papers, 480 citations indexed

About

Serawit Deyno is a scholar working on Plant Science, Infectious Diseases and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Serawit Deyno has authored 27 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 6 papers in Infectious Diseases and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Serawit Deyno's work include Ethnobotanical and Medicinal Plants Studies (9 papers), Essential Oils and Antimicrobial Activity (5 papers) and Natural Antidiabetic Agents Studies (5 papers). Serawit Deyno is often cited by papers focused on Ethnobotanical and Medicinal Plants Studies (9 papers), Essential Oils and Antimicrobial Activity (5 papers) and Natural Antidiabetic Agents Studies (5 papers). Serawit Deyno collaborates with scholars based in Ethiopia, Uganda and Malawi. Serawit Deyno's co-authors include Patrick Engeu Ogwang, Paul E. Alele, Andrew G. Mtewa, Emanuel L. Peter, Ayalew Astatkie, Alemayehu Toma, Casim Umba Tolo, Eyasu Makonnen, Duncan C. Sesaazi and Félicien Mushagalusa Kasali and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Ethnopharmacology and Frontiers in Pharmacology.

In The Last Decade

Serawit Deyno

26 papers receiving 465 citations

Author Peers

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

Author						Papers	Cites
Serawit Deyno	130	109	85	74	71	27	480
Mohammad Bokaeian	93 0.7×	67 0.6×	92 1.1×	76 1.0×	45 0.6×	55	422
Rajni Sharma	66 0.5×	185 1.7×	88 1.0×	33 0.4×	76 1.1×	33	541
Swati P. Joshi	158 1.2×	57 0.5×	130 1.5×	69 0.9×	20 0.3×	29	427
Nour Elhouda Daoudi	115 0.9×	109 1.0×	60 0.7×	126 1.7×	45 0.6×	39	493
Vikrant Vats	87 0.7×	219 2.0×	54 0.6×	28 0.4×	26 0.4×	18	542
Muqeet Wahid	100 0.8×	89 0.8×	127 1.5×	83 1.1×	25 0.4×	23	527
Sujan Banik	85 0.7×	88 0.8×	67 0.8×	37 0.5×	21 0.3×	51	528
Chibuike Ibe	163 1.3×	63 0.6×	80 0.9×	124 1.7×	114 1.6×	37	469
Sei Chang Kim	146 1.1×	180 1.7×	92 1.1×	65 0.9×	35 0.5×	13	507
Vadde Ramakrishna	169 1.3×	81 0.7×	136 1.6×	48 0.6×	26 0.4×	25	515

Countries citing papers authored by Serawit Deyno

Since Specialization

Citations

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

Fields of papers citing papers by Serawit Deyno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serawit Deyno

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