Sylvia Marecki

508 total citations
9 papers, 445 citations indexed

About

Sylvia Marecki is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Sylvia Marecki has authored 9 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 6 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Sylvia Marecki's work include Cytokine Signaling Pathways and Interactions (6 papers), interferon and immune responses (4 papers) and Immune Response and Inflammation (2 papers). Sylvia Marecki is often cited by papers focused on Cytokine Signaling Pathways and Interactions (6 papers), interferon and immune responses (4 papers) and Immune Response and Inflammation (2 papers). Sylvia Marecki collaborates with scholars based in United States, Germany and Hungary. Sylvia Marecki's co-authors include Matthew J. Fenton, Michael D. Liang, Michael L. Atchison, Barbara S. Nikolajczyk, Daniel C. McDevit, Peter Kirkpatrick, Yue Zhang, Alexander D. Politis, Keiko Ozato and Stefanie N. Vogel and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Nature Reviews Drug Discovery.

In The Last Decade

Sylvia Marecki

9 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sylvia Marecki United States	8	340	150	140	91	30	9	445
S G Irving United States	6	210 0.6×	203 1.4×	104 0.7×	51 0.6×	24 0.8×	11	445
Matthew J. Simmons United States	8	134 0.4×	251 1.7×	107 0.8×	77 0.8×	23 0.8×	8	366
Z. Buket Yilmaz Germany	5	340 1.0×	117 0.8×	110 0.8×	294 3.2×	13 0.4×	5	453
Marilyn Marron United States	6	226 0.7×	90 0.6×	121 0.9×	24 0.3×	19 0.6×	11	328
Farah Aziz United States	7	168 0.5×	230 1.5×	168 1.2×	58 0.6×	10 0.3×	8	387
Masataka Nakamura Japan	8	338 1.0×	78 0.5×	168 1.2×	28 0.3×	19 0.6×	10	452
Benyam Asefa United States	6	316 0.9×	156 1.0×	145 1.0×	46 0.5×	26 0.9×	7	448
T L Moore United States	8	166 0.5×	159 1.1×	62 0.4×	49 0.5×	34 1.1×	13	366
André Oumard Germany	12	235 0.7×	283 1.9×	171 1.2×	77 0.8×	18 0.6×	12	500
Jasmine Li Australia	12	299 0.9×	328 2.2×	108 0.8×	86 0.9×	26 0.9×	17	544

Countries citing papers authored by Sylvia Marecki

Since Specialization

Citations

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

Fields of papers citing papers by Sylvia Marecki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvia Marecki

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Liang, Michael D., Yue Zhang, Daniel C. McDevit, Sylvia Marecki, & Barbara S. Nikolajczyk. (2006). The Interleukin-1β Gene Is Transcribed from a Poised Promoter Architecture in Monocytes. Journal of Biological Chemistry. 281(14). 9227–9237. 48 indexed citations

2.

Marecki, Sylvia & Peter Kirkpatrick. (2004). Efalizumab. Nature Reviews Drug Discovery. 3(6). 473–474. 19 indexed citations

3.

Marecki, Sylvia, et al.. (2003). PU.1 as a chromatin accessibility factor for immunoglobulin genes. Molecular Immunology. 40(10). 723–731. 20 indexed citations

4.

Marecki, Sylvia & Matthew J. Fenton. (2002). Review: The Role of IRF-4 in Transcriptional Regulation. Journal of Interferon & Cytokine Research. 22(1). 121–133. 59 indexed citations

5.

Marecki, Sylvia, et al.. (2001). PU.1 and Multiple IFN Regulatory Factor Proteins Synergize to Mediate Transcriptional Activation of the Human IL-1β Gene. The Journal of Immunology. 166(11). 6829–6838. 98 indexed citations

6.

Marecki, Sylvia & Matthew J. Fenton. (2000). PU.1/Interferon Regulatory Factor Interactions; Mechanisms of Transcriptional Regulation. Cell Biochemistry and Biophysics. 33(2). 127–148. 66 indexed citations

7.

Marecki, Sylvia & Matthew J. Fenton. (2000). Mechanisms of Transcriptional Regulation. 1 indexed citations

8.

Marecki, Sylvia, Michael L. Atchison, & Matthew J. Fenton. (1999). Differential Expression and Distinct Functions of IFN Regulatory Factor 4 and IFN Consensus Sequence Binding Protein in Macrophages. The Journal of Immunology. 163(5). 2713–2722. 80 indexed citations

9.

Kantakamalakul, Wannee, Alexander D. Politis, Sylvia Marecki, et al.. (1999). Regulation of IFN Consensus Sequence Binding Protein Expression in Murine Macrophages. The Journal of Immunology. 162(12). 7417–7425. 54 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