Anggakusuma
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
Papers in
- Hepatology 11
- Hepatitis C virus research 11
- Hepatitis Viruses Studies and Epidemiology 1
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- Hepatitis B Virus Studies 4
- Liver Disease Diagnosis and Treatment 2
- Co-authors
- Thomas Pietschmann (12 shared papers)Eike Steinmann (11 shared papers)Yanti Yanti (4 shared papers)Jae‐Kwan Hwang (4 shared papers)Richard J. P. Brown (5 shared papers)Patrick Behrendt (5 shared papers)Stephanie Pfaender (5 shared papers)Daniel Tödt (5 shared papers)
- Journals
- Hepatology (3 papers)Scientific Reports (2 papers)Journal of Virology (2 papers)PLoS ONE (2 papers)Biological and Pharmaceutical Bulletin (2 papers)
- Partner nations
- GermanySwitzerlandIndonesia
In The Last Decade
Anggakusuma
19 papers receiving 781 citations
Peers
Comparison fields: 5 of 84
- Hepatology 287
- Molecular Medicine 74
- Infectious Diseases 145
- Virology 36
- Immunology 148
Countries citing papers authored by Anggakusuma
This map shows the geographic impact of Anggakusuma'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 Anggakusuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anggakusuma more than expected).
Fields of papers citing papers by Anggakusuma
This network shows the impact of papers produced by Anggakusuma. 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 Anggakusuma. The network helps show where Anggakusuma may publish in the future.
Co-authors
The 25 scholars most cited alongside Anggakusuma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 161 | |
| 2 | 2014 | 101 | |
| 3 | 2016 | 74 | |
| 4 | 2015 | 71 | |
| 5 | 2009 | 64 | |
| 6 | 2015 | 42 | |
| 7 | 2015 | 39 | |
| 8 | 2020 | 35 | |
| 9 | 2013 | 34 | |
| 10 | 2017 | 31 | |
| 11 | 2016 | 27 | |
| 12 | 2015 | 20 | |
| 13 | 2009 | 20 | |
| 14 | 2012 | 14 | |
| 15 | 2016 | 14 | |
| 16 | 2009 | 13 | |
| 17 | 2022 | 12 | |
| 18 | 2009 | 12 | |
| 19 | 2020 | 7 | |
| 20 | 2015 | 0 |
About Anggakusuma
Anggakusuma is a scholar working on Hepatology, Epidemiology, Molecular Biology, Rheumatology and Genetics, having authored 21 papers that have together received 791 indexed citations. Recurring topics across this work include Hepatitis C virus research (11 papers), Hepatitis B Virus Studies (4 papers), Liver Disease Diagnosis and Treatment (2 papers), Systemic Lupus Erythematosus Research (2 papers), Natural product bioactivities and synthesis (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Estrogen and related hormone effects (1 paper) and Hepatitis Viruses Studies and Epidemiology (1 paper). The work is most often cited by research in Hepatology (287 citations), Molecular Medicine (74 citations), Infectious Diseases (145 citations), Virology (36 citations) and Immunology (148 citations). Anggakusuma has collaborated with scholars based in Germany, Switzerland and Indonesia. Frequent co-authors include Thomas Pietschmann, Eike Steinmann, Yanti Yanti, Jae‐Kwan Hwang, Richard J. P. Brown, Patrick Behrendt, Stephanie Pfaender, Daniel Tödt, Che C. Colpitts and Markus H. Heim. Their work appears in journals such as Hepatology, Scientific Reports, Journal of Virology, PLoS ONE and Biological and Pharmaceutical Bulletin.
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.