Daniel S. Rampon

70 total papers · 857 total citations
41 papers, 708 citations indexed

About

Daniel S. Rampon is a scholar working on Organic Chemistry, Toxicology and Materials Chemistry. According to data from OpenAlex, Daniel S. Rampon has authored 41 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Organic Chemistry, 18 papers in Toxicology and 5 papers in Materials Chemistry. Recurrent topics in Daniel S. Rampon's work include Sulfur-Based Synthesis Techniques (20 papers), Organoselenium and organotellurium chemistry (17 papers) and Catalytic C–H Functionalization Methods (11 papers). Daniel S. Rampon is often cited by papers focused on Sulfur-Based Synthesis Techniques (20 papers), Organoselenium and organotellurium chemistry (17 papers) and Catalytic C–H Functionalization Methods (11 papers). Daniel S. Rampon collaborates with scholars based in Brazil, United States and Portugal. Daniel S. Rampon's co-authors include Paulo H. Schneider, Fabiano Severo Rodembusch, Aloir A. Merlo, Paulo Fernando Bruno Gonçalves, Diego Alves, Renata A. Balaguez, Ludger A. Wessjohann, Antônio L. Braga, Ivan H. Bechtold and Felipe Lange Coelho and has published in prestigious journals such as Accounts of Chemical Research, Journal of Materials Chemistry and The Journal of Organic Chemistry.

In The Last Decade

Daniel S. Rampon

39 papers receiving 695 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel S. Rampon 540 331 80 57 45 41 708
Tian Chen 494 0.9× 197 0.6× 183 2.3× 49 0.9× 49 1.1× 44 746
Yi Fang 582 1.1× 218 0.7× 26 0.3× 75 1.3× 56 1.2× 33 783
Panke Zhang 658 1.2× 84 0.3× 120 1.5× 82 1.4× 78 1.7× 41 826
Tiago Elias Allievi Frizon 427 0.8× 212 0.6× 214 2.7× 35 0.6× 67 1.5× 50 749
Xiaobi Jing 505 0.9× 150 0.5× 150 1.9× 40 0.7× 90 2.0× 51 735
Hatem E. Gaffer 515 1.0× 62 0.2× 164 2.0× 36 0.6× 76 1.7× 47 808
Mohammad Soleiman‐Beigi 585 1.1× 36 0.1× 105 1.3× 38 0.7× 75 1.7× 68 728
Abhimanyu Yadav 351 0.7× 47 0.1× 124 1.6× 37 0.6× 34 0.8× 23 655
Dmitry V. Demchuk 587 1.1× 27 0.1× 56 0.7× 21 0.4× 107 2.4× 47 736
Muharrem Kaya 562 1.0× 48 0.1× 99 1.2× 30 0.5× 257 5.7× 37 735

Countries citing papers authored by Daniel S. Rampon

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Rampon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Rampon. 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 Daniel S. Rampon. The network helps show where Daniel S. Rampon may publish in the future.

Co-authorship network of co-authors of Daniel S. Rampon

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. Rampon. A scholar is included among the top collaborators of Daniel S. Rampon 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 Daniel S. Rampon. Daniel S. Rampon 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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