Sham Nambulli
- Infectious Diseases top 2%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Epidemiology
- Ecology top 10%
- Co-authors
- W. Paul DuprexLinda J. RennickLindsey R. Robinson‐McCarthyWilliam BainGhady HaidarKevin R. McCarthyYi ShiZhe Sang
- Topics
- Virology and Viral Diseases (10 papers)SARS-CoV-2 and COVID-19 Research (9 papers)Virus-based gene therapy research (5 papers)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Sham Nambulli
20 papers receiving 994 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Infectious Diseases 761
- Molecular Biology 272
- Radiology, Nuclear Medicine and Imaging 244
- Epidemiology 202
- Ecology 135
Countries citing papers authored by Sham Nambulli
This map shows the geographic impact of Sham Nambulli'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 Sham Nambulli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sham Nambulli more than expected).
Fields of papers citing papers by Sham Nambulli
This network shows the impact of papers produced by Sham Nambulli. 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 Sham Nambulli. The network helps show where Sham Nambulli may publish in the future.
Co-authorship network of co-authors of Sham Nambulli
This figure shows the co-authorship network connecting the top 25 collaborators of Sham Nambulli. A scholar is included among the top collaborators of Sham Nambulli 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 Sham Nambulli. Sham Nambulli 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 | 3 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 22 | |
| 8 | 8 | |
| 9 | 0 | |
| 10 | Recurrent deletions in the SARS-CoV-2 spike glycoprotein drive antibody escapebreakdown → | 332 |
| 11 | 11 | |
| 12 | 107 | |
| 13 | Versatile and multivalent nanobodies efficiently neutralize SARS-CoV-2breakdown → | 265 |
| 14 | 86 | |
| 15 | 8 | |
| 16 | 16 | |
| 17 | 47 | |
| 18 | 38 | |
| 19 | 10 | |
| 20 | 33 |
About Sham Nambulli
Sham Nambulli is a scholar working on Infectious Diseases, Virology and Animal Science and Zoology, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Virology and Viral Diseases (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Infectious Diseases (761 citations), Animal Science and Zoology (132 citations) and Radiology, Nuclear Medicine and Imaging (244 citations). Sham Nambulli has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include W. Paul Duprex, Linda J. Rennick, Lindsey R. Robinson‐McCarthy, William Bain, Ghady Haidar, Kevin R. McCarthy, Yi Shi, Zhe Sang, Yufei Xiang and Dina Schneidman‐Duhovny. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.
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.