Mar Valés‐Gómez

111 total papers · 5.2k total citations
75 papers, 4.2k citations indexed

About

Mar Valés‐Gómez is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Mar Valés‐Gómez has authored 75 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Immunology, 19 papers in Molecular Biology and 14 papers in Oncology. Recurrent topics in Mar Valés‐Gómez's work include Immune Cell Function and Interaction (57 papers), T-cell and B-cell Immunology (38 papers) and Extracellular vesicles in disease (12 papers). Mar Valés‐Gómez is often cited by papers focused on Immune Cell Function and Interaction (57 papers), T-cell and B-cell Immunology (38 papers) and Extracellular vesicles in disease (12 papers). Mar Valés‐Gómez collaborates with scholars based in Spain, United Kingdom and United States. Mar Valés‐Gómez's co-authors include Hugh T. Reyburn, Jack L. Strominger, Ofer Mandelboim, Daniel M. Davis, Laszlo Pazmany, Lola Fernández‐Messina, J L Strominger, Sonia Agüera‐González, Omodele Ashiru and Philippe Boutet and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Mar Valés‐Gómez

73 papers receiving 4.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mar Valés‐Gómez 3.1k 1.1k 789 521 365 75 4.2k
Thomas Brocker 4.2k 1.3× 1.1k 1.0× 1.1k 1.4× 402 0.8× 295 0.8× 87 5.4k
Tri Giang Phan 3.6k 1.2× 1.4k 1.3× 941 1.2× 410 0.8× 333 0.9× 66 5.9k
Matthias Schiemann 3.1k 1.0× 1.1k 1.0× 1.2k 1.6× 672 1.3× 176 0.5× 67 4.5k
Daniel M. Andrews 3.9k 1.2× 799 0.7× 1.5k 1.9× 700 1.3× 274 0.8× 69 5.0k
Michio Tomura 3.9k 1.2× 1.5k 1.3× 1.4k 1.8× 394 0.8× 161 0.4× 90 5.7k
Hai Qi 4.2k 1.3× 902 0.8× 778 1.0× 440 0.8× 165 0.5× 88 5.8k
Tomasz Żal 3.8k 1.2× 1.6k 1.4× 822 1.0× 262 0.5× 424 1.2× 70 5.7k
Diana Dudziak 4.5k 1.4× 1.3k 1.2× 826 1.0× 361 0.7× 134 0.4× 99 5.6k
Lucia Gabriele 2.5k 0.8× 1.1k 1.0× 1.5k 1.9× 271 0.5× 362 1.0× 74 4.2k
Richard J. Bram 3.2k 1.0× 2.7k 2.5× 894 1.1× 447 0.9× 518 1.4× 76 6.2k

Countries citing papers authored by Mar Valés‐Gómez

Since Specialization
Citations

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

Fields of papers citing papers by Mar Valés‐Gómez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mar Valés‐Gómez. 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 Mar Valés‐Gómez. The network helps show where Mar Valés‐Gómez may publish in the future.

Co-authorship network of co-authors of Mar Valés‐Gómez

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

All Works

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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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