Endah Supriyati

44 total papers · 1.2k total citations
20 papers, 100 citations indexed

About

Endah Supriyati is a scholar working on Infectious Diseases, Sociology and Political Science and Insect Science. According to data from OpenAlex, Endah Supriyati has authored 20 papers receiving a total of 100 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 6 papers in Sociology and Political Science and 6 papers in Insect Science. Recurrent topics in Endah Supriyati's work include SARS-CoV-2 and COVID-19 Research (8 papers), Insect symbiosis and bacterial influences (6 papers) and Dengue and Mosquito Control Research (6 papers). Endah Supriyati is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (8 papers), Insect symbiosis and bacterial influences (6 papers) and Dengue and Mosquito Control Research (6 papers). Endah Supriyati collaborates with scholars based in Indonesia, Australia and United States. Endah Supriyati's co-authors include Eggi Arguni, Titik Nuryastuti, Edwin Widyanto Daniwijaya, Adi Utarini, Tri Wibawa, Mohamad S. Hakim, Citra Indriani, Riris Andono Ahmad, Celeste M. Donato and David McCarthy and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Endah Supriyati

14 papers receiving 93 citations

Author Peers

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

Author						Papers	Cites
Endah Supriyati	58	43	27	20	16	20	100
Yutthana Joyjinda	80 1.4×	74 1.7×	10 0.4×	45 2.3×	18 1.1×	15	173
Doreen J. Siria	47 0.8×	155 3.6×	7 0.3×	22 1.1×	30 1.9×	14	216
Chitra Pattabiraman	61 1.1×	69 1.6×	11 0.4×	39 1.9×	9 0.6×	13	141
Thaísa Regina Rocha Lopes	115 2.0×	141 3.3×	7 0.3×	24 1.2×	17 1.1×	19	226
Ruwan Wijayamuni	81 1.4×	43 1.0×	13 0.5×	21 1.1×	3 0.2×	12	141
Tibutius T. P. Jayadas	109 1.9×	203 4.7×	28 1.0×	44 2.2×	24 1.5×	23	280
Rodrigue Bikangui	67 1.2×	48 1.1×	9 0.3×	12 0.6×	5 0.3×	15	114
Graciela Pellerano	136 2.3×	37 0.9×	25 0.9×	11 0.6×	9 0.6×	30	242
Toscane Fourié	117 2.0×	54 1.3×	6 0.2×	9 0.5×	7 0.4×	18	139
Doménica de Mora	75 1.3×	42 1.0×	6 0.2×	8 0.4×	6 0.4×	17	152

Countries citing papers authored by Endah Supriyati

Since Specialization

Citations

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

Fields of papers citing papers by Endah Supriyati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Endah Supriyati

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