Adityo Susilo

36 total papers · 1.7k total citations
10 papers, 891 citations indexed

About

Adityo Susilo is a scholar working on Epidemiology, Sociology and Political Science and Infectious Diseases. According to data from OpenAlex, Adityo Susilo has authored 10 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Sociology and Political Science and 2 papers in Infectious Diseases. Recurrent topics in Adityo Susilo's work include COVID-19 Prevention and Impact (3 papers), COVID-19 Clinical Research Studies (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Adityo Susilo is often cited by papers focused on COVID-19 Prevention and Impact (3 papers), COVID-19 Clinical Research Studies (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Adityo Susilo collaborates with scholars based in Indonesia, Singapore and Thailand. Adityo Susilo's co-authors include Cleopas Martin Rumende, Ceva Wicaksono Pitoyo, Evy Yunihastuti, Widayat Djoko Santoso, Gurmeet Singh, Leonard Nainggolan, Lie Khie Chen, Mira Yulianti, Erni Juwita Nelwan and Bramantya Wicaksana and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and ˜The œLancet. Gastroenterology & hepatology.

In The Last Decade

Adityo Susilo

7 papers receiving 789 citations

Hit Papers

Coronavirus Disease 2019:... 2020 2026 2022 2024 2020 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Adityo Susilo 436 234 178 167 128 10 891
Widayat Djoko Santoso 430 1.0× 231 1.0× 155 0.9× 155 0.9× 123 1.0× 10 865
Mira Yulianti 422 1.0× 230 1.0× 155 0.9× 153 0.9× 121 0.9× 11 829
Lie Khie Chen 428 1.0× 234 1.0× 155 0.9× 154 0.9× 129 1.0× 8 799
Leonard Nainggolan 444 1.0× 231 1.0× 155 0.9× 155 0.9× 125 1.0× 25 943
Ceva Wicaksono Pitoyo 425 1.0× 233 1.0× 155 0.9× 153 0.9× 128 1.0× 29 906
Bramantya Wicaksana 422 1.0× 229 1.0× 155 0.9× 153 0.9× 121 0.9× 4 794
Alvina Widhani 452 1.0× 236 1.0× 158 0.9× 159 1.0× 132 1.0× 34 1.0k
Firda Annisa 422 1.0× 229 1.0× 155 0.9× 153 0.9× 121 0.9× 3 786
Muhammad Sabaruddin Sinapoy 461 1.1× 73 0.3× 116 0.7× 100 0.6× 63 0.5× 9 898
Susanti Djalante 405 0.9× 74 0.3× 117 0.7× 102 0.6× 62 0.5× 12 871

Countries citing papers authored by Adityo Susilo

Since Specialization
Citations

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

Fields of papers citing papers by Adityo Susilo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adityo Susilo

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