Daniel Roeder

873 total citations
8 papers, 737 citations indexed

About

Daniel Roeder is a scholar working on Molecular Biology, Immunology and Pharmacology. According to data from OpenAlex, Daniel Roeder has authored 8 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Pharmacology. Recurrent topics in Daniel Roeder's work include Immune Response and Inflammation (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Polyomavirus and related diseases (1 paper). Daniel Roeder is often cited by papers focused on Immune Response and Inflammation (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Polyomavirus and related diseases (1 paper). Daniel Roeder collaborates with scholars based in United States, Switzerland and Germany. Daniel Roeder's co-authors include Hanno Langen, Michel C. Nussenzweig, Juha Risteli, Albert F. Parlow, Sena J. Lee, Leila Risteli, Stefan Evers, Y. C. Lee, Ten Feizi and David C. Morrison and has published in prestigious journals such as Science, Molecular Cell and Journal of Virology.

In The Last Decade

Daniel Roeder

8 papers receiving 715 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 Roeder United States 7 393 287 83 75 53 8 737
T Tadakuma Japan 13 460 1.2× 537 1.9× 109 1.3× 98 1.3× 108 2.0× 26 1.0k
I A MacNeil United States 8 334 0.8× 410 1.4× 52 0.6× 76 1.0× 130 2.5× 9 902
Michiko Yamayoshi Japan 7 364 0.9× 232 0.8× 64 0.8× 53 0.7× 88 1.7× 9 665
A. Arthur Gottlieb United States 17 300 0.8× 303 1.1× 81 1.0× 89 1.2× 74 1.4× 50 776
Deepa Rajagopal India 12 224 0.6× 311 1.1× 36 0.4× 92 1.2× 69 1.3× 18 645
Joachim L. Weickmann United States 12 428 1.1× 179 0.6× 69 0.8× 61 0.8× 38 0.7× 15 672
Maria D.F.S. Barbosa United States 16 453 1.2× 342 1.2× 108 1.3× 67 0.9× 64 1.2× 24 959
Paul A. LeBlanc United States 15 373 0.9× 551 1.9× 68 0.8× 69 0.9× 103 1.9× 37 989
Sheena A. Linehan United Kingdom 11 256 0.7× 489 1.7× 56 0.7× 114 1.5× 65 1.2× 11 893
Masazumi Terashima Japan 11 309 0.8× 213 0.7× 64 0.8× 56 0.7× 82 1.5× 22 664

Countries citing papers authored by Daniel Roeder

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Roeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Roeder

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

All Works

8 of 8 papers shown
1.
Roeder, Daniel, Paolo Piraino, Jens Lamerz, et al.. (2014). Automated Sample Preparation Platform for Mass Spectrometry-Based Plasma Proteomics and Biomarker Discovery. Biology. 3(1). 205–219. 9 indexed citations
2.
Röhn, Till A., Dirk Schadendorf, Yuansheng Sun, et al.. (2005). Melanoma cell necrosis facilitates transfer of specific sets of antigens onto MHC class II molecules of dendritic cells. European Journal of Immunology. 35(10). 2826–2839. 8 indexed citations
3.
Novotná, J, Jiří Vohradský, Peter Berndt, et al.. (2003). Proteomic studies of diauxic lag in the differentiating prokaryote Streptomyces coelicolor reveal a regulatory network of stress‐induced proteins and central metabolic enzymes. Molecular Microbiology. 48(5). 1289–1303. 75 indexed citations
4.
Lee, Sena J., Stefan Evers, Daniel Roeder, et al.. (2002). Mannose Receptor-Mediated Regulation of Serum Glycoprotein Homeostasis. Science. 295(5561). 1898–1901. 393 indexed citations
5.
Dichtl, Bernhard, Diana Blank, Arno Friedlein, et al.. (2002). A Role for SSU72 in Balancing RNA Polymerase II Transcription Elongation and Termination. Molecular Cell. 10(5). 1139–1150. 143 indexed citations
6.
Lei, Mei G., et al.. (1990). Identification and Characterization of Lipopolysaccharide Receptor Molecules on Mammalian Lymphoid Cells. Advances in experimental medicine and biology. 256. 445–466. 4 indexed citations
7.
Roeder, Daniel, Ming Lei, & David C. Morrison. (1989). Endotoxic-lipopolysaccharide-specific binding proteins on lymphoid cells of various animal species: association with endotoxin susceptibility. Infection and Immunity. 57(4). 1054–1058. 63 indexed citations
8.
Marriott, Susan J., Daniel Roeder, & Richard A. Consigli. (1987). Anti-idiotypic antibodies to a polyomavirus monoclonal antibody recognize cell surface components of mouse kidney cells and prevent polyomavirus infection. Journal of Virology. 61(9). 2747–2753. 42 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026