Nice Shindo
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
Papers in
-
- HIV/AIDS drug development and treatment 4
- HIV/AIDS Research and Interventions 3
- Virology 8
- HIV Research and Treatment 8
- Co-authors
- E. Lucile White (2 shared papers)Subramaniam Ananthan (3 shared papers)Bernardo Galvão‐Castro (6 shared papers)John A. Secrist (1 shared paper)Melinda Sosa (2 shared papers)Joseph A. Maddry (2 shared papers)Cecil D. Kwong (1 shared paper)William J. Suling (1 shared paper)
- Journals
- AIDS Research and Human Retroviruses (5 papers)Retrovirology (1 paper)Plant Molecular Biology (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)Tuberculosis (1 paper)
- Partner nations
- BrazilUnited StatesBelgium
In The Last Decade
Nice Shindo
18 papers receiving 621 citations
Peers
Comparison fields: 5 of 60
- Virology 145
- Infectious Diseases 308
- Agronomy and Crop Science 69
- Immunology 119
- Computational Theory and Mathematics 97
Countries citing papers authored by Nice Shindo
This map shows the geographic impact of Nice Shindo'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 Nice Shindo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nice Shindo more than expected).
Fields of papers citing papers by Nice Shindo
This network shows the impact of papers produced by Nice Shindo. 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 Nice Shindo. The network helps show where Nice Shindo may publish in the future.
Co-authors
The 25 scholars most cited alongside Nice Shindo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 240 | |
| 2 | 2006 | 80 | |
| 3 | 2006 | 67 | |
| 4 | 2002 | 56 | |
| 5 | 2005 | 36 | |
| 6 | 2003 | 28 | |
| 7 | 2002 | 25 | |
| 8 | 2003 | 25 | |
| 9 | 1993 | 15 | |
| 10 | 2007 | 14 | |
| 11 | 1995 | 13 | |
| 12 | 2001 | 11 | |
| 13 | 1993 | 10 | |
| 14 | 2010 | 6 | |
| 15 | 1992 | 4 | |
| 16 | 2000 | 2 | |
| 17 | 1992 | 1 | |
| 18 | 2006 | 1 |
About Nice Shindo
Nice Shindo is a scholar working on Infectious Diseases, Virology, Molecular Biology, Immunology and Plant Science, having authored 18 papers that have together received 634 indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), HIV/AIDS drug development and treatment (4 papers), Plant Virus Research Studies (4 papers), HIV/AIDS Research and Interventions (3 papers), T-cell and Retrovirus Studies (2 papers), Transgenic Plants and Applications (2 papers), Immune Cell Function and Interaction (2 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Virology (145 citations), Infectious Diseases (308 citations), Agronomy and Crop Science (69 citations), Immunology (119 citations) and Computational Theory and Mathematics (97 citations). Nice Shindo has collaborated with scholars based in Brazil, United States and Belgium. Frequent co-authors include E. Lucile White, Subramaniam Ananthan, Bernardo Galvão‐Castro, John A. Secrist, Melinda Sosa, Joseph A. Maddry, Cecil D. Kwong, William J. Suling, Robert C. Reynolds and Barbara E. Laughon. Their work appears in journals such as AIDS Research and Human Retroviruses, Retrovirology, Plant Molecular Biology, Bioorganic & Medicinal Chemistry Letters and Tuberculosis.
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.