Rebecca G. Baker

2.2k total citations · 1 hit paper
9 papers, 1.9k citations indexed

About

Rebecca G. Baker is a scholar working on Immunology, Immunology and Allergy and Molecular Biology. According to data from OpenAlex, Rebecca G. Baker has authored 9 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Immunology and Allergy and 3 papers in Molecular Biology. Recurrent topics in Rebecca G. Baker's work include Cell Adhesion Molecules Research (3 papers), T-cell and B-cell Immunology (3 papers) and Mast cells and histamine (2 papers). Rebecca G. Baker is often cited by papers focused on Cell Adhesion Molecules Research (3 papers), T-cell and B-cell Immunology (3 papers) and Mast cells and histamine (2 papers). Rebecca G. Baker collaborates with scholars based in United States, Slovakia and Germany. Rebecca G. Baker's co-authors include Matthew S. Hayden, Sankar Ghosh, Gary A. Koretzky, John J. Seeley, Sachin D. Deshmukh, Tony Bruns, Daniel E. Freedberg, Chih-Jung Hsu, Tobias Baumgart and Taku Kambayashi and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Rebecca G. Baker

9 papers receiving 1.9k citations

Hit Papers

NF-κB, Inflammation, and Metabolic Disease 2011 2026 2016 2021 2011 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rebecca G. Baker United States 6 738 585 382 325 318 9 1.9k
Mario Lauterbach Germany 10 997 1.4× 947 1.6× 414 1.1× 375 1.2× 352 1.1× 20 2.3k
Cha‐Xiang Guan China 27 1.0k 1.4× 708 1.2× 488 1.3× 173 0.5× 246 0.8× 96 2.4k
Kyoung Soo Kim South Korea 27 687 0.9× 669 1.1× 433 1.1× 453 1.4× 188 0.6× 78 2.7k
Lucia Rossetti Lopes Brazil 25 761 1.0× 575 1.0× 365 1.0× 472 1.5× 147 0.5× 50 2.1k
Yanchuan Li China 23 523 0.7× 310 0.5× 444 1.2× 270 0.8× 197 0.6× 45 1.5k
Reilly T. Enos United States 23 724 1.0× 309 0.5× 399 1.0× 612 1.9× 248 0.8× 63 1.8k
Maryam Rakhshandehroo Netherlands 13 973 1.3× 298 0.5× 570 1.5× 508 1.6× 158 0.5× 20 1.9k
Marı́a Luisa Nieto Spain 31 1.2k 1.7× 402 0.7× 189 0.5× 340 1.0× 219 0.7× 80 2.3k
Béatrice Romier France 23 682 0.9× 251 0.4× 305 0.8× 266 0.8× 267 0.8× 41 2.0k
Agnès Coste France 24 1.2k 1.6× 609 1.0× 429 1.1× 678 2.1× 184 0.6× 54 2.5k

Countries citing papers authored by Rebecca G. Baker

Since Specialization
Citations

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

Fields of papers citing papers by Rebecca G. Baker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rebecca G. Baker. 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 Rebecca G. Baker. The network helps show where Rebecca G. Baker may publish in the future.

Co-authorship network of co-authors of Rebecca G. Baker

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

All Works

9 of 9 papers shown
1.
Karp, Barbara I. & Rebecca G. Baker. (2023). Pain management research from the NIH HEAL Initiative. SHILAP Revista de lepidopterología. 4. 1266783–1266783. 1 indexed citations
2.
Seeley, John J., Rebecca G. Baker, Tony Bruns, et al.. (2018). Induction of innate immune memory via microRNA targeting of chromatin remodelling factors. Nature. 559(7712). 114–119. 141 indexed citations
3.
Lee, Dooyoung, et al.. (2012). SLP‐76 is required for optimal CXCR4‐stimulated T lymphocyte firm arrest to ICAM‐1 under shear flow. European Journal of Immunology. 42(10). 2736–2743. 3 indexed citations
4.
Baker, Rebecca G., Matthew S. Hayden, & Sankar Ghosh. (2011). NF-κB, Inflammation, and Metabolic Disease. Cell Metabolism. 13(1). 11–22. 1593 indexed citations breakdown →
5.
Kambayashi, Taku, Mariko Okumura, Rebecca G. Baker, et al.. (2010). Independent and Cooperative Roles of Adaptor Molecules in Proximal Signaling during FcεRI-Mediated Mast Cell Activation. Molecular and Cellular Biology. 30(17). 4188–4196. 17 indexed citations
6.
Bezman, Natalie, Rebecca G. Baker, Laurie Lenox, Martha S. Jordan, & Gary A. Koretzky. (2009). Cutting Edge: Rescue of Pre-TCR but Not Mature TCR Signaling in Mice Expressing Membrane-Targeted SLP-76. The Journal of Immunology. 182(9). 5183–5187. 4 indexed citations
7.
Baker, Rebecca G., Chih-Jung Hsu, Martha S. Jordan, et al.. (2009). The Adapter Protein SLP-76 Mediates “Outside-In” Integrin Signaling and Function in T Cells. Molecular and Cellular Biology. 29(20). 5578–5589. 59 indexed citations
8.
Baker, Rebecca G. & Gary A. Koretzky. (2008). Regulation of T cell integrin function by adapter proteins. Immunologic Research. 42(1-3). 132–144. 10 indexed citations
9.
Kambayashi, Taku, Jan D. Baranski, Rebecca G. Baker, et al.. (2007). Indirect involvement of allergen-captured mast cells in antigen presentation. Blood. 111(3). 1489–1496. 41 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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