Zar Chi Thent

41 total papers · 1.1k total citations
28 papers, 744 citations indexed

About

Zar Chi Thent is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology and Pathology and Forensic Medicine. According to data from OpenAlex, Zar Chi Thent has authored 28 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Pharmacology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Zar Chi Thent's work include Natural Antidiabetic Agents Studies (8 papers), Phytoestrogen effects and research (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). Zar Chi Thent is often cited by papers focused on Natural Antidiabetic Agents Studies (8 papers), Phytoestrogen effects and research (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). Zar Chi Thent collaborates with scholars based in Malaysia, India and Yemen. Zar Chi Thent's co-authors include Azian Abd Latiff, Srijit Das, Farihah Haji Suhaimi, Leonard Joseph, Faizah Othman, Gabriele Ruth Anisah Froemming, Suhaila Abd Muid, Razif Abas, Zaiton Zakaria and Kumeshini Sukalingam and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Life Sciences.

In The Last Decade

Zar Chi Thent

28 papers receiving 722 citations

Author Peers

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

Author Last Decade Papers Cites
Zar Chi Thent 274 177 139 127 85 28 744
Zhanxin Yao 216 0.8× 193 1.1× 215 1.5× 214 1.7× 79 0.9× 40 867
Pidaran Murugan 348 1.3× 249 1.4× 151 1.1× 69 0.5× 83 1.0× 21 816
Giuseppa Castellino 280 1.0× 199 1.1× 74 0.5× 88 0.7× 76 0.9× 15 694
Renata Pires Assis 184 0.7× 194 1.1× 101 0.7× 52 0.4× 103 1.2× 25 702
V. V. Sathibabu Uddandrao 225 0.8× 247 1.4× 136 1.0× 167 1.3× 64 0.8× 46 870
Jasvinder K. Gambhir 248 0.9× 154 0.9× 88 0.6× 105 0.8× 44 0.5× 20 787
Natarajan Ashokkumar 272 1.0× 229 1.3× 74 0.5× 53 0.4× 131 1.5× 28 690
Lorena Ciumărnean 115 0.4× 167 0.9× 108 0.8× 173 1.4× 101 1.2× 44 789
Hana Alkhalidy 220 0.8× 190 1.1× 111 0.8× 70 0.6× 126 1.5× 36 748
Junping Wei 172 0.6× 267 1.5× 94 0.7× 67 0.5× 91 1.1× 29 677

Countries citing papers authored by Zar Chi Thent

Since Specialization
Citations

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

Fields of papers citing papers by Zar Chi Thent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zar Chi Thent. 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 Zar Chi Thent. The network helps show where Zar Chi Thent may publish in the future.

Co-authorship network of co-authors of Zar Chi Thent

This figure shows the co-authorship network connecting the top 25 collaborators of Zar Chi Thent. A scholar is included among the top collaborators of Zar Chi Thent 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 Zar Chi Thent. Zar Chi Thent 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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