Meron Roose-Girma

6.3k total citations · 2 hit papers
8 papers, 4.8k citations indexed

About

Meron Roose-Girma is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Meron Roose-Girma has authored 8 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Immunology and 2 papers in Surgery. Recurrent topics in Meron Roose-Girma's work include T-cell and B-cell Immunology (3 papers), Inflammasome and immune disorders (3 papers) and Immune Response and Inflammation (2 papers). Meron Roose-Girma is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Inflammasome and immune disorders (3 papers) and Immune Response and Inflammation (2 papers). Meron Roose-Girma collaborates with scholars based in United States, France and Poland. Meron Roose-Girma's co-authors include Vishva M. Dixit, Kim Newton, Denise M. Monack, Wyne P. Lee, Sanjeev Mariathasan, Karen O’Rourke, Jacqueline McBride, David S. Weiss, Yvette Weinrauch and Sharon Erickson and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Immunology.

In The Last Decade

Meron Roose-Girma

8 papers receiving 4.8k citations

Hit Papers

Cryopyrin activates the inflammasome in response to toxin... 2004 2026 2011 2018 2006 2004 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meron Roose-Girma United States 7 3.6k 2.7k 465 459 330 8 4.8k
Jianghong Wu United States 8 4.4k 1.2× 2.8k 1.1× 592 1.3× 575 1.3× 269 0.8× 8 5.5k
Jacqueline McBride United States 24 2.3k 0.6× 2.4k 0.9× 708 1.5× 326 0.7× 225 0.7× 46 4.6k
Tatjana Eigenbrod Germany 23 2.5k 0.7× 1.8k 0.7× 504 1.1× 315 0.7× 223 0.7× 40 3.9k
Tessa Bergsbaken United States 15 2.6k 0.7× 1.6k 0.6× 562 1.2× 261 0.6× 258 0.8× 26 4.1k
Beckley K. Davis United States 25 3.1k 0.9× 2.8k 1.0× 638 1.4× 422 0.9× 197 0.6× 35 4.7k
Youdong Pan China 21 3.0k 0.9× 2.1k 0.8× 486 1.0× 313 0.7× 403 1.2× 34 4.6k
Cherilyn M. Sirois United States 9 2.9k 0.8× 3.1k 1.2× 1.1k 2.3× 669 1.5× 210 0.6× 11 5.0k
Debra J. Taxman United States 27 2.6k 0.7× 2.1k 0.8× 697 1.5× 298 0.6× 264 0.8× 42 4.1k
Paras Anand United Kingdom 24 2.1k 0.6× 1.3k 0.5× 499 1.1× 316 0.7× 165 0.5× 40 2.9k
Salina Louie United States 9 2.3k 0.7× 1.2k 0.4× 247 0.5× 243 0.5× 187 0.6× 14 2.7k

Countries citing papers authored by Meron Roose-Girma

Since Specialization
Citations

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

Fields of papers citing papers by Meron Roose-Girma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meron Roose-Girma. 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 Meron Roose-Girma. The network helps show where Meron Roose-Girma may publish in the future.

Co-authorship network of co-authors of Meron Roose-Girma

This figure shows the co-authorship network connecting the top 25 collaborators of Meron Roose-Girma. A scholar is included among the top collaborators of Meron Roose-Girma 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 Meron Roose-Girma. Meron Roose-Girma 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.
Manzanillo, Paolo, Maria L. Mouchess, Naruhisa Ota, et al.. (2018). Inflammatory Bowel Disease Susceptibility Gene C1ORF106 Regulates Intestinal Epithelial Permeability. ImmunoHorizons. 2(5). 164–171. 9 indexed citations
2.
Hernandez, Sairy, Qing Jing, Xiangnan Du, et al.. (2018). The Kinase Activity of Hematopoietic Progenitor Kinase 1 Is Essential for the Regulation of T Cell Function. Cell Reports. 25(1). 80–94. 76 indexed citations
3.
Brightbill, Hans D., Janet Jackman, Eric Suto, et al.. (2015). Conditional Deletion of NF-κB–Inducing Kinase (NIK) in Adult Mice Disrupts Mature B Cell Survival and Activation. The Journal of Immunology. 195(3). 953–964. 47 indexed citations
4.
Jones, Jonathan, Nobuhiko Kayagaki, Petr Brož, et al.. (2010). Absent in melanoma 2 is required for innate immune recognition of Francisella tularensis. Proceedings of the National Academy of Sciences. 107(21). 9771–9776. 409 indexed citations
5.
Mariathasan, Sanjeev, David S. Weiss, Kim Newton, et al.. (2006). Cryopyrin activates the inflammasome in response to toxins and ATP. Nature. 440(7081). 228–232. 2487 indexed citations breakdown →
6.
Baldwin, Megan E., Xiao Huan Liang, Johanna Busch, et al.. (2004). Generation of mice carrying floxed VEGFR-1 and VEGFR-2 alleles to study the effects of postnatal gene ablation on angiogenesis and hematopoiesis. Cancer Research. 64. 596–596. 1 indexed citations
7.
Mariathasan, Sanjeev, Kim Newton, Denise M. Monack, et al.. (2004). Differential activation of the inflammasome by caspase-1 adaptors ASC and Ipaf. Nature. 430(6996). 213–218. 1475 indexed citations breakdown →
8.
Yan, Minhong, Hua Wang, Betty S. Chan, et al.. (2001). Activation and accumulation of B cells in TACI-deficient mice. Nature Immunology. 2(7). 638–643. 334 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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