Daniel Bunis
Impact in
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Reproductive System and Pregnancy
- Immune cells in cancer
Papers in
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- Reproductive System and Pregnancy 4
- Immune responses and vaccinations 3
- T-cell and B-cell Immunology 2
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- Single-cell and spatial transcriptomics 4
- Co-authors
- Marina Sirota (10 shared papers)Gabriela K. Fragiadakis (4 shared papers)Trevor D. Burt (5 shared papers)Jared Andrews (1 shared paper)Tomiko Oskotsky (3 shared papers)Dena B. Dubal (1 shared paper)Caroline Warly Solsberg (2 shared papers)Idit Kosti (3 shared papers)
- Journals
- Frontiers in Immunology (2 papers)Scientific Reports (1 paper)Frontiers in Aging Neuroscience (1 paper)Cell Reports (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Daniel Bunis
11 papers receiving 241 citations
Peers
Comparison fields: 5 of 68
- Immunology 97
- Biological Psychiatry 10
- Neurology 26
- Obstetrics and Gynecology 20
- Reproductive Medicine 19
Countries citing papers authored by Daniel Bunis
This map shows the geographic impact of Daniel Bunis'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 Daniel Bunis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Bunis more than expected).
Fields of papers citing papers by Daniel Bunis
This network shows the impact of papers produced by Daniel Bunis. 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 Daniel Bunis. The network helps show where Daniel Bunis may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Bunis, 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 | 2020 | 100 | |
| 2 | 2021 | 37 | |
| 3 | 2021 | 31 | |
| 4 | 2021 | 25 | |
| 5 | 2022 | 20 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 5 | |
| 8 | 2020 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2020 | 1 | |
| 11 | 2020 | 1 |
About Daniel Bunis
Daniel Bunis is a scholar working on Immunology, Molecular Biology, Pulmonary and Respiratory Medicine, Neurology and Infectious Diseases, having authored 11 papers that have together received 241 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Reproductive System and Pregnancy (4 papers), Immune responses and vaccinations (3 papers), Neonatal Respiratory Health Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), T-cell and B-cell Immunology (2 papers), Endometriosis Research and Treatment (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Immunology (97 citations), Biological Psychiatry (10 citations), Neurology (26 citations), Obstetrics and Gynecology (20 citations) and Reproductive Medicine (19 citations). Daniel Bunis has collaborated with scholars based in United States and Spain. Frequent co-authors include Marina Sirota, Gabriela K. Fragiadakis, Trevor D. Burt, Jared Andrews, Tomiko Oskotsky, Dena B. Dubal, Caroline Warly Solsberg, Idit Kosti, Arjun A. Rao and Chun Ye. Their work appears in journals such as Frontiers in Immunology, Scientific Reports, Frontiers in Aging Neuroscience, Cell Reports and Bioinformatics.
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.