Afiat Berbudi
- Infectious Diseases top 5%
- Epidemiology
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Immunology
- Co-authors
- Adi Imam TjahjadiNofri RahmadikaRovina RuslamiMarc P. HübnerJesuthas AjendraAchim HoeraufAnas SubarnasDavid Schmidt
- Topics
- Computational Drug Discovery Methods (8 papers)Parasitic Diseases Research and Treatment (6 papers)Parasites and Host Interactions (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS PathogensInternational Journal for Parasitology
- Partner nations
- IndonesiaGermanyUnited Kingdom
In The Last Decade
Afiat Berbudi
41 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Infectious Diseases 317
- Epidemiology 249
- Endocrinology, Diabetes and Metabolism 223
- Molecular Biology 213
- Immunology 145
Countries citing papers authored by Afiat Berbudi
This map shows the geographic impact of Afiat Berbudi'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 Afiat Berbudi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Afiat Berbudi more than expected).
Fields of papers citing papers by Afiat Berbudi
This network shows the impact of papers produced by Afiat Berbudi. 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 Afiat Berbudi. The network helps show where Afiat Berbudi may publish in the future.
Co-authorship network of co-authors of Afiat Berbudi
This figure shows the co-authorship network connecting the top 25 collaborators of Afiat Berbudi. A scholar is included among the top collaborators of Afiat Berbudi 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 Afiat Berbudi. Afiat Berbudi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Interplay Between Insulin Resistance and Immune Dysregulation in Type 2 Diabetes Mellitus: Implications for Therapeutic Interventionsbreakdown → | 29 |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 13 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 7 | |
| 18 | 4 | |
| 19 | 18 | |
| 20 | 18 |
About Afiat Berbudi
Afiat Berbudi is a scholar working on Molecular Medicine, Parasitology and Rehabilitation, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Parasitic Diseases Research and Treatment (6 papers) and Parasites and Host Interactions (6 papers). The work is most often cited by research in Parasitology (138 citations), Infectious Diseases (317 citations) and Endocrinology, Diabetes and Metabolism (223 citations). Afiat Berbudi has collaborated with scholars based in Indonesia, Germany and United Kingdom. Frequent co-authors include Adi Imam Tjahjadi, Nofri Rahmadika, Rovina Ruslami, Marc P. Hübner, Jesuthas Ajendra, Achim Hoerauf, Anas Subarnas, David Schmidt, Fabian Gondorf and Laura E. Layland. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS Pathogens and International Journal for Parasitology.
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.