Rudi Supriyadi

458 citations
34 papers · 304 indexed · h-index 7
Topics
Dialysis and Renal Disease Management (7 papers)COVID-19 Clinical Research Studies (5 papers)Liver Disease Diagnosis and Treatment (4 papers)
Journals
SHILAP Revista de lepidopterologíaCellsVaccines

In The Last Decade

Rudi Supriyadi

25 papers receiving 289 citations

Peers

Rudi Supriyadi
Comparison fields: 5 of 72
  • Infectious Diseases 179
  • Neurology 84
  • Oncology 62
  • Epidemiology 58
  • Surgery 41
Replace Maolu Tian with:
Maolu Tian China
Igal Breitman United States
José Víctor Jiménez United States
Mei Meng China
Spencer Carter United States
Nanny Natalia Mulyani Soetedjo Indonesia
Suresh Kumar Nayudu United States
Juan Simón Rico-Mesa United States
Pankaj Malhotra India
Evangelia Koutli Greece
Rudi Supriyadi relative to Maolu Tian China Maolu Tian's profile →
Citations per field
00.5×3.3×
Maolu Tian · 1×
Citations per year

Countries citing papers authored by Rudi Supriyadi

Since Specialization
Citations

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

Fields of papers citing papers by Rudi Supriyadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rudi Supriyadi

This figure shows the co-authorship network connecting the top 25 collaborators of Rudi Supriyadi. A scholar is included among the top collaborators of Rudi Supriyadi 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 Rudi Supriyadi. Rudi Supriyadi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 0
5 0
6 0
7 22
8 4
9 6
10 1
11 1
12 0
13 101
14 4
15 70
16 1
17
Renal Tuberculosis: The Masquerader.
1
18 3
19
Validity and Reliability of the Indonesian Version of Kidney Disease Quality of Life (KDQOL-36) Questionnaire in Hemodialysis Patients at Hasan Sadikin Hospital, Bandung, Indonesia.
11
20 0

About Rudi Supriyadi

Rudi Supriyadi is a scholar working on Nephrology, Hepatology and Family Practice, having authored 34 papers that have together received 304 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (7 papers), COVID-19 Clinical Research Studies (5 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Infectious Diseases (179 citations), Neurology (84 citations) and Nephrology (34 citations). Rudi Supriyadi has collaborated with scholars based in Indonesia, Malaysia and South Korea. Frequent co-authors include Ian Huang, Michael Anthonius Lim, Raymond Pranata, Arto Yuwono Soeroto, Emir Yonas, Nanny Natalia Mulyani Soetedjo, Hikmat Permana, Antonia Anna Lukito, Timotius Ivan Hariyanto and Ketut Suastika. Their work appears in journals such as SHILAP Revista de lepidopterología, Cells and Vaccines.

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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