Dan L. Rocca

8 total papers · 488 total citations
6 papers, 348 citations indexed

About

Dan L. Rocca is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Dan L. Rocca has authored 6 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cell Biology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Dan L. Rocca's work include Ubiquitin and proteasome pathways (3 papers), Cellular transport and secretion (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). Dan L. Rocca is often cited by papers focused on Ubiquitin and proteasome pathways (3 papers), Cellular transport and secretion (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). Dan L. Rocca collaborates with scholars based in United Kingdom, China and Italy. Dan L. Rocca's co-authors include Jeremy M. Henley, Richard D. Unwin, Philip Rubin, Kevin A. Wilkinson, Nadia Jaafari, Jack R. Mellor, Andrew R. Thomson, Sophie E.L. Chamberlain, Sriharsha Kantamneni and Filip A. Konopacki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Dan L. Rocca

6 papers receiving 348 citations

Author Peers

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

Author Last Decade Papers Cites
Dan L. Rocca 249 70 58 50 49 6 348
Filomena Ricciardi 236 0.9× 92 1.3× 76 1.3× 56 1.1× 68 1.4× 8 363
Udhaya Kumari 191 0.8× 96 1.4× 58 1.0× 30 0.6× 31 0.6× 8 350
Evan M. Lutton 198 0.8× 121 1.7× 39 0.7× 62 1.2× 16 0.3× 9 387
Miloš Babić 297 1.2× 29 0.4× 68 1.2× 39 0.8× 82 1.7× 9 401
Manoel Jacobsen 267 1.1× 46 0.7× 53 0.9× 62 1.2× 37 0.8× 4 403
Giles Watts 163 0.7× 142 2.0× 54 0.9× 86 1.7× 115 2.3× 7 341
Laleh Saadat 128 0.5× 85 1.2× 42 0.7× 43 0.9× 20 0.4× 9 364
Deborah Villafranca‐Baughman 172 0.7× 43 0.6× 65 1.1× 35 0.7× 31 0.6× 10 394
Katie Mayne 162 0.7× 55 0.8× 87 1.5× 20 0.4× 16 0.3× 10 388
Jeffrey Zielich 174 0.7× 92 1.3× 27 0.5× 59 1.2× 55 1.1× 6 300

Countries citing papers authored by Dan L. Rocca

Since Specialization
Citations

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

Fields of papers citing papers by Dan L. Rocca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan L. Rocca. 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 Dan L. Rocca. The network helps show where Dan L. Rocca may publish in the future.

Co-authorship network of co-authors of Dan L. Rocca

This figure shows the co-authorship network connecting the top 25 collaborators of Dan L. Rocca. A scholar is included among the top collaborators of Dan L. Rocca 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 Dan L. Rocca. Dan L. Rocca 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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