María J. Gómara

118 total papers · 1.6k total citations
81 papers, 1.3k citations indexed

About

María J. Gómara is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, María J. Gómara has authored 81 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 26 papers in Radiology, Nuclear Medicine and Imaging and 22 papers in Epidemiology. Recurrent topics in María J. Gómara's work include Monoclonal and Polyclonal Antibodies Research (26 papers), HIV Research and Treatment (19 papers) and Rheumatoid Arthritis Research and Therapies (19 papers). María J. Gómara is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (26 papers), HIV Research and Treatment (19 papers) and Rheumatoid Arthritis Research and Therapies (19 papers). María J. Gómara collaborates with scholars based in Spain, United Kingdom and United States. María J. Gómara's co-authors include Isabel Haro, José L. Nieva, Raimón Sanmartí, Guadalupe Ercilla, María L. García, M. A. Alsina, Yolanda Pérez, Asier Sáez‐Cirión, Maier Lorizate and José A. Gómez‐Puerta and has published in prestigious journals such as PLoS ONE, Journal of Molecular Biology and The Journal of Physical Chemistry B.

In The Last Decade

María J. Gómara

78 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
María J. Gómara 552 284 264 248 217 81 1.3k
Cathy Royer 283 0.5× 293 1.0× 124 0.5× 603 2.4× 262 1.2× 41 1.5k
Nabila M. Wassef 628 1.1× 232 0.8× 238 0.9× 169 0.7× 157 0.7× 50 1.5k
Roberta L. Richards 910 1.6× 146 0.5× 212 0.8× 179 0.7× 138 0.6× 44 1.7k
Zoltán Beck 761 1.4× 446 1.6× 193 0.7× 254 1.0× 254 1.2× 74 1.8k
Xuejun Chen 405 0.7× 492 1.7× 179 0.7× 312 1.3× 258 1.2× 61 1.8k
Margaret A. Baird 786 1.4× 100 0.4× 81 0.3× 259 1.0× 277 1.3× 71 1.8k
Deborah A. Eppstein 621 1.1× 381 1.3× 120 0.5× 401 1.6× 228 1.1× 41 1.5k
Noelene E. Byars 422 0.8× 70 0.2× 223 0.8× 249 1.0× 146 0.7× 27 1.2k
Bertrand Bellier 321 0.6× 72 0.3× 82 0.3× 336 1.4× 169 0.8× 47 1.4k
Norman R. Watts 771 1.4× 184 0.6× 107 0.4× 494 2.0× 199 0.9× 57 1.7k

Countries citing papers authored by María J. Gómara

Since Specialization
Citations

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

Fields of papers citing papers by María J. Gómara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María J. Gómara. 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 María J. Gómara. The network helps show where María J. Gómara may publish in the future.

Co-authorship network of co-authors of María J. Gómara

This figure shows the co-authorship network connecting the top 25 collaborators of María J. Gómara. A scholar is included among the top collaborators of María J. Gómara 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 María J. Gómara. María J. Gómara 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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