José A. Cremata

46 total papers · 1.6k total citations
35 papers, 1.2k citations indexed

About

José A. Cremata is a scholar working on Molecular Biology, Biotechnology and Immunology. According to data from OpenAlex, José A. Cremata has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 12 papers in Biotechnology and 9 papers in Immunology. Recurrent topics in José A. Cremata's work include Glycosylation and Glycoproteins Research (12 papers), Transgenic Plants and Applications (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). José A. Cremata is often cited by papers focused on Glycosylation and Glycoproteins Research (12 papers), Transgenic Plants and Applications (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). José A. Cremata collaborates with scholars based in Cuba, United Kingdom and Ireland. José A. Cremata's co-authors include Raquel Montesino, Alberto Leyva, Julio C. Sánchez, Omar A. Quintero, Gleysin Cabrera, Ada Triguero, Julio Delgado, Jorge R. Toledo, Chun‐Ting Yuen and M. Rodriguez-Valle and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Biochemistry and FEBS Letters.

In The Last Decade

José A. Cremata

35 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
José A. Cremata 645 357 286 158 149 35 1.2k
Wei Guo 460 0.7× 112 0.3× 743 2.6× 93 0.6× 139 0.9× 79 1.5k
Thusitha S. Gunasekera 648 1.0× 125 0.4× 223 0.8× 206 1.3× 49 0.3× 46 1.5k
Ian Davidson 343 0.5× 124 0.3× 172 0.6× 70 0.4× 110 0.7× 36 1.3k
Yongqiang Zhu 705 1.1× 54 0.2× 188 0.7× 83 0.5× 92 0.6× 33 1.4k
В. А. Рассказов 590 0.9× 180 0.5× 91 0.3× 77 0.5× 137 0.9× 73 1.1k
Yashwant D. Karkhanis 596 0.9× 40 0.1× 197 0.7× 109 0.7× 224 1.5× 28 1.5k
Angela V. Savage 649 1.0× 336 0.9× 303 1.1× 266 1.7× 78 0.5× 52 1.2k
Thomas R. Jørgensen 484 0.8× 129 0.4× 196 0.7× 195 1.2× 100 0.7× 29 916
M. Victoria Elorza 763 1.2× 127 0.4× 513 1.8× 186 1.2× 48 0.3× 35 1.5k
Alan Little 332 0.5× 65 0.2× 884 3.1× 168 1.1× 285 1.9× 42 1.5k

Countries citing papers authored by José A. Cremata

Since Specialization
Citations

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

Fields of papers citing papers by José A. Cremata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José A. Cremata. 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 José A. Cremata. The network helps show where José A. Cremata may publish in the future.

Co-authorship network of co-authors of José A. Cremata

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