José M. Rivera

71 total papers · 1.2k total citations
41 papers, 1.0k citations indexed

About

José M. Rivera is a scholar working on Molecular Biology, Organic Chemistry and Biomaterials. According to data from OpenAlex, José M. Rivera has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 10 papers in Organic Chemistry and 7 papers in Biomaterials. Recurrent topics in José M. Rivera's work include DNA and Nucleic Acid Chemistry (19 papers), Advanced biosensing and bioanalysis techniques (18 papers) and Supramolecular Chemistry and Complexes (9 papers). José M. Rivera is often cited by papers focused on DNA and Nucleic Acid Chemistry (19 papers), Advanced biosensing and bioanalysis techniques (18 papers) and Supramolecular Chemistry and Complexes (9 papers). José M. Rivera collaborates with scholars based in Puerto Rico, United States and Mexico. José M. Rivera's co-authors include Tomás Martı́n, Julius Rebek, Vladimir Gubala, Stephen L. Craig, Julius Rebek, Julius Rebek, Silvia E. Castillo‐Blum, Rafael Arce, Gary Siuzdak and Christoph A. Schalley and has published in prestigious journals such as Science, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

José M. Rivera

40 papers receiving 1.0k 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 M. Rivera 548 389 328 266 256 41 1.0k
Fredrik Schaufelberger 648 1.2× 243 0.6× 189 0.6× 221 0.8× 258 1.0× 29 930
Salvador Tomàs 425 0.8× 429 1.1× 274 0.8× 229 0.9× 285 1.1× 43 1.0k
Edvinas Orentas 655 1.2× 171 0.4× 270 0.8× 255 1.0× 479 1.9× 59 1.2k
Tianyu Jiao 623 1.1× 164 0.4× 258 0.8× 214 0.8× 471 1.8× 36 943
Ling Wu 506 0.9× 454 1.2× 324 1.0× 387 1.5× 450 1.8× 31 1.1k
Tomáš Kraus 540 1.0× 405 1.0× 215 0.7× 97 0.4× 247 1.0× 44 912
Steffen L. Woltering 840 1.5× 234 0.6× 236 0.7× 253 1.0× 391 1.5× 17 1.1k
Avik Samanta 322 0.6× 367 0.9× 155 0.5× 279 1.0× 377 1.5× 26 1.1k
Guangcheng Wu 681 1.2× 162 0.4× 346 1.1× 261 1.0× 502 2.0× 60 1.1k
Soumen K. Samanta 802 1.5× 178 0.5× 436 1.3× 277 1.0× 400 1.6× 23 1.1k

Countries citing papers authored by José M. Rivera

Since Specialization
Citations

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

Fields of papers citing papers by José M. Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José M. Rivera

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