Edwin H. Rodriguez

2.1k total citations
8 papers, 1.4k citations indexed

About

Edwin H. Rodriguez is a scholar working on Molecular Biology, Biophysics and Immunology. According to data from OpenAlex, Edwin H. Rodriguez has authored 8 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Biophysics and 2 papers in Immunology. Recurrent topics in Edwin H. Rodriguez's work include RNA modifications and cancer (3 papers), RNA and protein synthesis mechanisms (3 papers) and interferon and immune responses (2 papers). Edwin H. Rodriguez is often cited by papers focused on RNA modifications and cancer (3 papers), RNA and protein synthesis mechanisms (3 papers) and interferon and immune responses (2 papers). Edwin H. Rodriguez collaborates with scholars based in United States, Netherlands and Denmark. Edwin H. Rodriguez's co-authors include Jonathan S. Weissman, Patrick O. Brown, Jen‐Tsan Chi, Marc J. van de Vijver, Dimitry S.A. Nuyten, Trevor Hastie, Michael T. Longaker, Åslaug Helland, Amato J. Giaccia and Gunnar B. Kristensen and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Edwin H. Rodriguez

8 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Edwin H. Rodriguez United States 6 1.0k 431 150 132 107 8 1.4k
Michael A. Tangrea United States 19 922 0.9× 328 0.8× 256 1.7× 86 0.7× 77 0.7× 48 1.4k
Graham Steers United Kingdom 17 1.0k 1.0× 481 1.1× 348 2.3× 190 1.4× 110 1.0× 24 1.6k
Sophie Bonnal Spain 20 2.4k 2.3× 347 0.8× 114 0.8× 154 1.2× 38 0.4× 33 2.6k
Andrew J.K. Williamson United Kingdom 18 660 0.6× 132 0.3× 169 1.1× 125 0.9× 88 0.8× 35 1.0k
Jessica E. Hutti United States 18 1.1k 1.0× 324 0.8× 228 1.5× 417 3.2× 65 0.6× 25 1.6k
Jaco C. Knol Netherlands 27 1.2k 1.1× 384 0.9× 342 2.3× 137 1.0× 377 3.5× 68 1.8k
John LaCava United States 21 2.2k 2.1× 194 0.5× 100 0.7× 156 1.2× 82 0.8× 49 2.5k
Rik G.H. Lindeboom Netherlands 19 1.5k 1.5× 365 0.8× 285 1.9× 131 1.0× 33 0.3× 26 1.9k
Blerta Xhemalçe United States 21 1.9k 1.8× 249 0.6× 195 1.3× 68 0.5× 35 0.3× 31 2.1k
Christian Melle Germany 25 1.0k 1.0× 217 0.5× 279 1.9× 163 1.2× 377 3.5× 61 1.4k

Countries citing papers authored by Edwin H. Rodriguez

Since Specialization
Citations

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

Fields of papers citing papers by Edwin H. Rodriguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edwin H. Rodriguez. 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 Edwin H. Rodriguez. The network helps show where Edwin H. Rodriguez may publish in the future.

Co-authorship network of co-authors of Edwin H. Rodriguez

This figure shows the co-authorship network connecting the top 25 collaborators of Edwin H. Rodriguez. A scholar is included among the top collaborators of Edwin H. Rodriguez 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 Edwin H. Rodriguez. Edwin H. Rodriguez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Nordmann, Thierry M., Lisa Schweizer, Andreas Metousis, et al.. (2023). A Standardized and Reproducible Workflow for Membrane Glass Slides in Routine Histology and Spatial Proteomics. Molecular & Cellular Proteomics. 22(10). 100643–100643. 4 indexed citations
2.
Rosenberger, Florian A., Marvin Thielert, Maximilian T. Strauss, et al.. (2023). Spatial single-cell mass spectrometry defines zonation of the hepatocyte proteome. Nature Methods. 20(10). 1530–1536. 88 indexed citations
3.
Sendoel, Ataman, Joshua G. Dunn, Edwin H. Rodriguez, et al.. (2017). Translation from unconventional 5′ start sites drives tumour initiation. Nature. 541(7638). 494–499. 227 indexed citations
4.
Jovanović, Marko, Michael S. Rooney, Philipp Mertins, et al.. (2015). Dynamic profiling of the protein life cycle in response to pathogens. Science. 347(6226). 1259038–1259038. 333 indexed citations
5.
Fields, Alexander P., Edwin H. Rodriguez, Marko Jovanović, et al.. (2015). A Regression-Based Analysis of Ribosome-Profiling Data Reveals a Conserved Complexity to Mammalian Translation. Molecular Cell. 60(5). 816–827. 166 indexed citations
6.
Smith, Melanie H., Edwin H. Rodriguez, & Jonathan S. Weissman. (2014). Misfolded Proteins Induce Aggregation of the Lectin Yos9. Journal of Biological Chemistry. 289(37). 25670–25677. 5 indexed citations
7.
Chi, Jen‐Tsan, Edwin H. Rodriguez, Zhen Wang, et al.. (2007). Gene Expression Programs of Human Smooth Muscle Cells: Tissue-Specific Differentiation and Prognostic Significance in Breast Cancers. PLoS Genetics. 3(9). e164–e164. 50 indexed citations
8.
Chi, Jen‐Tsan, Zhen Wang, Dimitry S.A. Nuyten, et al.. (2006). Gene Expression Programs in Response to Hypoxia: Cell Type Specificity and Prognostic Significance in Human Cancers. PLoS Medicine. 3(3). e47–e47. 485 indexed citations

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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