Saheli Sadanand
- Co-authors
- Mark J. ShlomchikMary M. TomaykoSteven H. KleinsteinKim L. Good‐JacobsonGriselda Zuccarino-CataniaFlorian WeiselHailong MengNoah W. Palm
- Topics
- HIV Research and Treatment (3 papers)Immune Cell Function and Interaction (3 papers)T-cell and B-cell Immunology (3 papers)
- Cited by
- ImmunologyEndocrinologyVirology
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Saheli Sadanand
15 papers receiving 764 citations
Peers
Comparison fields: 5 of 78
- Immunology 477
- Molecular Biology 248
- Genetics 102
- Epidemiology 100
- Infectious Diseases 95
Countries citing papers authored by Saheli Sadanand
This map shows the geographic impact of Saheli Sadanand'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 Saheli Sadanand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saheli Sadanand more than expected).
Fields of papers citing papers by Saheli Sadanand
This network shows the impact of papers produced by Saheli Sadanand. 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 Saheli Sadanand. The network helps show where Saheli Sadanand may publish in the future.
Co-authorship network of co-authors of Saheli Sadanand
This figure shows the co-authorship network connecting the top 25 collaborators of Saheli Sadanand. A scholar is included among the top collaborators of Saheli Sadanand 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 Saheli Sadanand. Saheli Sadanand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 35 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | Temporal variation in HIV-specific IgG subclass Abs during acute infection differentiates spontaneous controllers from chronic progressors | 1 |
| 7 | 33 | |
| 8 | 25 | |
| 9 | 308 | |
| 10 | Health Policy and Ethics: A Critical Examination of Values from a Global Perspective | 3 |
| 11 | Harrison’s Infectious Diseases | 34 |
| 12 | Vaccination: the present and the future. | 9 |
| 13 | How Women Got Their Curves and Other Just-So Stories | 1 |
| 14 | 226 | |
| 15 | Malaria: an evaluation of the current state of research on pathogenesis and antimalarial drugs. | 5 |
| 16 | Immunobiology: A Short Course | 0 |
| 17 | 77 |
About Saheli Sadanand
Saheli Sadanand is a scholar working on Virology, Endocrinology and Immunology, having authored 17 papers that have together received 775 indexed citations. Recurring topics across this work include HIV Research and Treatment (3 papers), Immune Cell Function and Interaction (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Immunology (477 citations), Endocrinology (59 citations) and Virology (52 citations). Saheli Sadanand has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Mark J. Shlomchik, Mary M. Tomayko, Steven H. Kleinstein, Kim L. Good‐Jacobson, Griselda Zuccarino-Catania, Florian Weisel, Hailong Meng, Noah W. Palm, Fayyaz S. Sutterwala and Igor E. Brodsky. Their work appears in journals such as Nature Medicine, Nature Biotechnology and Nature Immunology.
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.