X. Rosa

1.3k total citations
2 papers, 258 citations indexed

About

X. Rosa is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, X. Rosa has authored 2 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Surgery, 1 paper in Molecular Biology and 1 paper in Genetics. Recurrent topics in X. Rosa's work include Lipoproteins and Cardiovascular Health (1 paper), Neurogenetic and Muscular Disorders Research (1 paper) and Atherosclerosis and Cardiovascular Diseases (1 paper). X. Rosa is often cited by papers focused on Lipoproteins and Cardiovascular Health (1 paper), Neurogenetic and Muscular Disorders Research (1 paper) and Atherosclerosis and Cardiovascular Diseases (1 paper). X. Rosa collaborates with scholars based in United States. X. Rosa's co-authors include Garam Kım, Eduardo Tassoni-Tsuchida, Olivia Gautier, Aaron D. Gitler, Gavin R. Schnitzler, Patrick T. Ellinor, Robert P. Giugliano, Frederick Kamanu, Helen Kang and Paul M. Ridker and has published in prestigious journals such as Nature Medicine and Neuron.

In The Last Decade

X. Rosa

2 papers receiving 254 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
X. Rosa United States	2	178	127	103	55	41	2	258
Eduardo Tassoni-Tsuchida United States	4	184 1.0×	173 1.4×	106 1.0×	55 1.0×	50 1.2×	5	307
Eva Maria Johanna de Boer Netherlands	3	161 0.9×	111 0.9×	69 0.7×	44 0.8×	35 0.9×	5	231
Hugo M. De Oliveira United Kingdom	3	169 0.9×	117 0.9×	77 0.7×	41 0.7×	33 0.8×	5	240
Silvia Scaricamazza Italy	10	213 1.2×	160 1.3×	123 1.2×	32 0.6×	43 1.0×	19	334
Wan Yun Ho Singapore	9	176 1.0×	134 1.1×	94 0.9×	51 0.9×	48 1.2×	11	287
Jimmy Beckers Belgium	8	191 1.1×	179 1.4×	89 0.9×	52 0.9×	56 1.4×	10	312
Julia Higelin Germany	5	136 0.8×	124 1.0×	80 0.8×	25 0.5×	40 1.0×	5	211
Joanna J. Bury United Kingdom	7	139 0.8×	102 0.8×	84 0.8×	76 1.4×	28 0.7×	8	250
Raheem Fazal Belgium	5	147 0.8×	113 0.9×	72 0.7×	30 0.5×	32 0.8×	5	207
Sahar Sweetat Israel	7	110 0.6×	155 1.2×	64 0.6×	57 1.0×	69 1.7×	12	284

Countries citing papers authored by X. Rosa

Since Specialization

Citations

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

Fields of papers citing papers by X. Rosa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of X. Rosa

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

All Works

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2 of 2 papers shown

1.

Marston, Nicholas, Frederick Kamanu, Giorgio Melloni, et al.. (2025). Endothelial cell-related genetic variants identify LDL cholesterol-sensitive individuals who derive greater benefit from aggressive lipid lowering. Nature Medicine. 31(3). 963–969. 4 indexed citations

2.

Kım, Garam, Olivia Gautier, Eduardo Tassoni-Tsuchida, X. Rosa, & Aaron D. Gitler. (2020). ALS Genetics: Gains, Losses, and Implications for Future Therapies. Neuron. 108(5). 822–842. 254 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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