Carmen Conde

107 total papers · 1.2k total citations
52 papers, 892 citations indexed

About

Carmen Conde is a scholar working on Molecular Biology, Rheumatology and Immunology. According to data from OpenAlex, Carmen Conde has authored 52 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Rheumatology and 13 papers in Immunology. Recurrent topics in Carmen Conde's work include Rheumatoid Arthritis Research and Therapies (11 papers), PARP inhibition in cancer therapy (7 papers) and Systemic Lupus Erythematosus Research (7 papers). Carmen Conde is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (11 papers), PARP inhibition in cancer therapy (7 papers) and Systemic Lupus Erythematosus Research (7 papers). Carmen Conde collaborates with scholars based in Spain, Mexico and France. Carmen Conde's co-authors include Samuel García, Juan J. Gómez‐Reino, Antonio González, Beatriz Orosa‐Puente, Antonio Mera, Manuela Martínez, A Ballabriga, Rocío Aguilar‐Quesada, F. Javier Oliver and Jerónimo Forteza and has published in prestigious journals such as The EMBO Journal, The Journal of Immunology and PLoS ONE.

In The Last Decade

Carmen Conde

45 papers receiving 868 citations

Author Peers

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

Author Last Decade Papers Cites
Carmen Conde 430 310 273 166 100 52 892
Teresina Laragione 491 1.1× 215 0.7× 377 1.4× 329 2.0× 107 1.1× 45 1.0k
Wei Zhang 505 1.2× 151 0.5× 216 0.8× 147 0.9× 165 1.6× 40 905
Fusako Nishigaki 468 1.1× 183 0.6× 140 0.5× 208 1.3× 120 1.2× 41 1.0k
Yoshiyuki Kanai 312 0.7× 174 0.6× 214 0.8× 106 0.6× 44 0.4× 33 752
Rita Cascão 423 1.0× 125 0.4× 277 1.0× 307 1.8× 78 0.8× 39 1.1k
Mohammad Javad Fattahi 266 0.6× 316 1.0× 274 1.0× 132 0.8× 132 1.3× 57 846
Ning Ma 261 0.6× 159 0.5× 501 1.8× 157 0.9× 104 1.0× 42 909
Wei Zhang 513 1.2× 245 0.8× 158 0.6× 96 0.6× 282 2.8× 51 1.0k
Gema Pérez-Chacón 518 1.2× 223 0.7× 403 1.5× 40 0.2× 122 1.2× 38 1.0k
Yujing Wu 335 0.8× 180 0.6× 335 1.2× 196 1.2× 84 0.8× 63 920

Countries citing papers authored by Carmen Conde

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Conde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Conde

This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Conde. A scholar is included among the top collaborators of Carmen Conde 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 Carmen Conde. Carmen Conde 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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