Daniel Silberman

415 total citations
13 papers, 334 citations indexed

About

Daniel Silberman is a scholar working on Immunology, Oncology and Physiology. According to data from OpenAlex, Daniel Silberman has authored 13 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 5 papers in Oncology and 4 papers in Physiology. Recurrent topics in Daniel Silberman's work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (5 papers) and Adenosine and Purinergic Signaling (4 papers). Daniel Silberman is often cited by papers focused on Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (5 papers) and Adenosine and Purinergic Signaling (4 papers). Daniel Silberman collaborates with scholars based in United States, Israel and Argentina. Daniel Silberman's co-authors include Lea Madi, Pnina Fishman, Lea Rath‐Wolfson, Sara Bar‐Yehuda, James E. Riggs, Abraham Weinberger, Avivit Ochaion, Ehud Baharav, Gil Ohana and S. Bar‐Yehuda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, British Journal of Cancer and eLife.

In The Last Decade

Daniel Silberman

12 papers receiving 318 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Silberman United States 9 163 115 108 87 34 13 334
Lindsay M. Hill United States 7 194 1.2× 71 0.6× 142 1.3× 38 0.4× 4 0.1× 10 375
Ilaria Durelli Italy 4 72 0.4× 230 2.0× 98 0.9× 116 1.3× 42 1.2× 5 433
Mariangela Lecciso Italy 9 56 0.3× 170 1.5× 97 0.9× 101 1.2× 23 0.7× 15 359
Micol Ferro Italy 5 227 1.4× 163 1.4× 182 1.7× 24 0.3× 6 447
Nicholas White United Kingdom 5 293 1.8× 49 0.4× 122 1.1× 39 0.4× 6 382
Riekje Winzer Germany 9 170 1.0× 93 0.8× 121 1.1× 57 0.7× 13 343
Conelius Ngwa United States 10 10 0.1× 103 0.9× 104 1.0× 29 0.3× 6 0.2× 14 377
Angela To United States 3 11 0.1× 87 0.8× 107 1.0× 74 0.9× 3 0.1× 4 257
Alberta Iacono Italy 5 8 0.0× 92 0.8× 89 0.8× 26 0.3× 27 0.8× 7 233
Saege Hancock United States 6 12 0.1× 173 1.5× 386 3.6× 44 0.5× 7 0.2× 15 602

Countries citing papers authored by Daniel Silberman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Silberman

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Silberman. A scholar is included among the top collaborators of Daniel Silberman 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 Daniel Silberman. Daniel Silberman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Goldman, Naomi, et al.. (2023). Loss of B1 and marginal zone B cells during ovarian cancer. Cellular Immunology. 395-396. 104788–104788. 1 indexed citations
2.
Marrack, Philippa, S. Harsha Krovi, Daniel Silberman, et al.. (2017). The somatically generated portion of T cell receptor CDR3α contributes to the MHC allele specificity of the T cell receptor. eLife. 6. 17 indexed citations
3.
Silberman, Daniel, S. Harsha Krovi, Kathryn D. Tuttle, et al.. (2016). Class II major histocompatibility complex mutant mice to study the germ-line bias of T-cell antigen receptors. Proceedings of the National Academy of Sciences. 113(38). E5608–17. 10 indexed citations
4.
Silberman, Daniel, et al.. (2012). CD28 ligation increases macrophage suppression of T-cell proliferation. Cellular and Molecular Immunology. 9(4). 341–349. 8 indexed citations
5.
Silberman, Daniel, et al.. (2010). Peritoneal T lymphocyte regulation by macrophages. Immunobiology. 216(1-2). 256–264. 15 indexed citations
6.
Silberman, Daniel, et al.. (2009). Cytokine treatment of macrophage suppression of T cell activation. Immunobiology. 215(1). 70–80. 8 indexed citations
7.
Taylor, Justin J., et al.. (2006). Peritoneal macrophages suppress T‐cell activation by amino acid catabolism. Immunology. 117(3). 386–395. 27 indexed citations
8.
Yeh, K. Y., et al.. (2006). Complementary suppression of T cell activation by peritoneal macrophages and CTLA-4-Ig. Immunobiology. 212(1). 1–10. 5 indexed citations
9.
10.
Baharav, Ehud, Sara Bar‐Yehuda, Lea Madi, et al.. (2005). Antiinflammatory effect of A3 adenosine receptor agonists in murine autoimmune arthritis models.. PubMed. 32(3). 469–76. 80 indexed citations
11.
12.
Ohana, Gil, S. Bar‐Yehuda, Lea Madi, et al.. (2003). Inhibition of primary colon carcinoma growth and liver metastasis by the A3 adenosine receptor agonist CF101. British Journal of Cancer. 89(8). 1552–1558. 76 indexed citations
13.

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.

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2026