Daniel M. Schreeder

882 total citations
7 papers, 188 citations indexed

About

Daniel M. Schreeder is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Daniel M. Schreeder has authored 7 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Daniel M. Schreeder's work include Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (4 papers) and RNA Interference and Gene Delivery (2 papers). Daniel M. Schreeder is often cited by papers focused on Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (4 papers) and RNA Interference and Gene Delivery (2 papers). Daniel M. Schreeder collaborates with scholars based in United States, Belgium and France. Daniel M. Schreeder's co-authors include Randall S. Davis, Fu Jun Li, Ran Li, Ran Li, John P. Cannon, Éric Vivier, Shuangyin Zhang, Max D. Cooper, Güzide Aksu and Chuen‐Miin Leu and has published in prestigious journals such as Journal of Clinical Oncology, Blood and The Journal of Immunology.

In The Last Decade

Daniel M. Schreeder

7 papers receiving 188 citations

Peers

Daniel M. Schreeder

IMMUN

RNMI

ONCOL

MB

GENET

Winnie L. Kan Australia

Julian Staniek Germany

Emil Nashi Canada

P. L. Klarenbeek Netherlands

Annika Wiedemann Germany

Nina Lanzarotti France

Christopher Paluch United Kingdom

Qingxiao Song China

Velia Gerl Germany

Leah Gehrs United States

Winnie L. Kan Australia

Daniel M. Schreeder

129 ×0.9

IMMUN

23 ×0.5

RNMI

76 ×1.9

ONCOL

64 ×1.6

MB

34 ×1.2

GENET

Citations per year, relative to Daniel M. Schreeder Daniel M. Schreeder (= 1×) peers Winnie L. Kan

Countries citing papers authored by Daniel M. Schreeder

Since Specialization

Citations

This map shows the geographic impact of Daniel M. Schreeder'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 M. Schreeder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Schreeder more than expected).

Fields of papers citing papers by Daniel M. Schreeder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Schreeder. 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 M. Schreeder. The network helps show where Daniel M. Schreeder may publish in the future.

Co-authorship network of co-authors of Daniel M. Schreeder

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

All Works

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7 of 7 papers shown

1.

Balko, Justin M., Douglas B. Johnson, Paula I. González-Ericsson, et al.. (2018). MHC-II expression to drive a unique pattern of adaptive resistance to antitumor immunity through receptor checkpoint engagement.. Journal of Clinical Oncology. 36(5_suppl). 180–180. 7 indexed citations

2.

Kim, Miriam, Saad S. Kenderian, Daniel M. Schreeder, et al.. (2016). 273. Genome Editing Using CRISPR-Cas9 to Increase the Therapeutic Index of Antigen-Specific Immunotherapy in Acute Myeloid Leukemia. Molecular Therapy. 24. S108–S108. 4 indexed citations

3.

Kim, Miriam, Saad S. Kenderian, Daniel M. Schreeder, et al.. (2016). Engineering Resistance to Antigen-Specific Immunotherapy in Normal Hematopoietic Stem Cells By Gene Editing to Enable Targeting of Acute Myeloid Leukemia. Blood. 128(22). 1000–1000. 4 indexed citations

4.

Li, Fu Jun, et al.. (2013). FCRL3 promotes TLR9‐induced B‐cell activation and suppresses plasma cell differentiation. European Journal of Immunology. 43(11). 2980–2992. 52 indexed citations

5.

Schreeder, Daniel M., et al.. (2010). Cutting Edge: FcR-Like 6 Is an MHC Class II Receptor. The Journal of Immunology. 185(1). 23–27. 51 indexed citations

6.

Schreeder, Daniel M., et al.. (2008). FCRL6 distinguishes mature cytotoxic lymphocytes and is upregulated in patients with B‐cell chronic lymphocytic leukemia. European Journal of Immunology. 38(11). 3159–3166. 35 indexed citations

7.

Leu, Chuen‐Miin, Shuangyin Zhang, Güzide Aksu, et al.. (2007). Fc Receptor–like Proteins (FCRL): Immunomodulators of B Cell Function. Advances in experimental medicine and biology. 596. 155–162. 35 indexed citations

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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