Daniel Silberman
Impact in
- Physiology top 2%
- Adenosine and Purinergic Signaling
Papers in
-
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 5
- Immune cells in cancer 3
- Oncology 5
- Cancer Immunotherapy and Biomarkers 2
- CAR-T cell therapy research 2
- Co-authors
- Pnina Fishman (4 shared papers)Lea Madi (4 shared papers)Lea Rath‐Wolfson (2 shared papers)Sara Bar‐Yehuda (2 shared papers)Abraham Weinberger (1 shared paper)Ehud Baharav (1 shared paper)Avivit Ochaion (1 shared paper)S. Bar‐Yehuda (1 shared paper)
- Journals
- Immunobiology (3 papers)Neoplasia (1 paper)Immunology (1 paper)Brain Behavior and Immunity (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Daniel Silberman
12 papers receiving 331 citations
Peers
Comparison fields: 5 of 60
- Physiology 174
- Biological Psychiatry 22
- Behavioral Neuroscience 28
- Immunology 109
- Neurology 33
Countries citing papers authored by Daniel Silberman
This map shows the geographic impact of Daniel Silberman'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 Silberman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Silberman more than expected).
Fields of papers citing papers by Daniel Silberman
This network shows the impact of papers produced by Daniel Silberman. 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 Silberman. The network helps show where Daniel Silberman may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Silberman, 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 | Antiinflammatory effect of A3 adenosine receptor agonists in murine autoimmune arthritis models. | 2005 | 86 |
| 2 | 2003 | 84 | |
| 3 | 2003 | 46 | |
| 4 | 2005 | 45 | |
| 5 | 2006 | 27 | |
| 6 | 2017 | 18 | |
| 7 | 2010 | 15 | |
| 8 | 2016 | 10 | |
| 9 | 2012 | 8 | |
| 10 | 2009 | 8 | |
| 11 | 2006 | 5 | |
| 12 | 2023 | 1 | |
| 13 | 2004 | 0 |
About Daniel Silberman
Daniel Silberman is a scholar working on Immunology, Oncology, Physiology, Biological Psychiatry and Epidemiology, having authored 13 papers that have together received 353 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (5 papers), Adenosine and Purinergic Signaling (4 papers), Tryptophan and brain disorders (3 papers), Immune cells in cancer (3 papers), Neuroendocrine Tumor Research Advances (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Physiology (174 citations), Biological Psychiatry (22 citations), Behavioral Neuroscience (28 citations), Immunology (109 citations) and Neurology (33 citations). Daniel Silberman has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Pnina Fishman, Lea Madi, Lea Rath‐Wolfson, Sara Bar‐Yehuda, Abraham Weinberger, Ehud Baharav, Avivit Ochaion, S. Bar‐Yehuda, Gil Ohana and James E. Riggs. Their work appears in journals such as Immunobiology, Neoplasia, Immunology, Brain Behavior and Immunity and Proceedings of the National Academy of Sciences.
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.