Eric Rivera‐Milla

1.0k total citations
17 papers, 694 citations indexed

About

Eric Rivera‐Milla is a scholar working on Cell Biology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Eric Rivera‐Milla has authored 17 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cell Biology, 6 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Eric Rivera‐Milla's work include Tuberculosis Research and Epidemiology (3 papers), Mycobacterium research and diagnosis (3 papers) and Caveolin-1 and cellular processes (3 papers). Eric Rivera‐Milla is often cited by papers focused on Tuberculosis Research and Epidemiology (3 papers), Mycobacterium research and diagnosis (3 papers) and Caveolin-1 and cellular processes (3 papers). Eric Rivera‐Milla collaborates with scholars based in Germany, United States and Chile. Eric Rivera‐Milla's co-authors include Claudia A. O. Stuermer, Edward Málaga‐Trillo, Gonzalo P. Solis, R. Eduardo Palma, Jorge Salazar‐Bravo, Terry L. Yates, Martin Bastmeyer, Michael Baier, Theodoros Sklaviadis and Cynthia H. Panagiotidis and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and The Journal of Comparative Neurology.

In The Last Decade

Eric Rivera‐Milla

17 papers receiving 691 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Rivera‐Milla Germany 14 429 269 72 72 70 17 694
Craig A. Praul United States 14 216 0.5× 106 0.4× 15 0.2× 100 1.4× 50 0.7× 29 590
Matthew P. Davis United Kingdom 11 832 1.9× 81 0.3× 69 1.0× 95 1.3× 39 0.6× 17 1.1k
Isabel Campos Portugal 10 551 1.3× 185 0.7× 27 0.4× 73 1.0× 8 0.1× 10 779
Tobin J. Cammett United States 5 440 1.0× 97 0.4× 19 0.3× 100 1.4× 7 0.1× 6 765
Alison J. Coffey United Kingdom 9 883 2.1× 40 0.1× 25 0.3× 491 6.8× 29 0.4× 11 1.3k
Clari Valansi Israel 10 428 1.0× 198 0.7× 23 0.3× 75 1.0× 9 0.1× 19 714
Olga V. Anatskaya Russia 19 538 1.3× 174 0.6× 34 0.5× 186 2.6× 4 0.1× 47 892
Helena Araujo Brazil 16 445 1.0× 120 0.4× 6 0.1× 70 1.0× 12 0.2× 43 672
Kohji Nomura Japan 15 329 0.8× 45 0.2× 11 0.2× 60 0.8× 9 0.1× 34 729
Jessica Alföldi United States 11 488 1.1× 58 0.2× 17 0.2× 307 4.3× 9 0.1× 12 793

Countries citing papers authored by Eric Rivera‐Milla

Since Specialization
Citations

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

Fields of papers citing papers by Eric Rivera‐Milla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Rivera‐Milla. 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 Eric Rivera‐Milla. The network helps show where Eric Rivera‐Milla may publish in the future.

Co-authorship network of co-authors of Eric Rivera‐Milla

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

All Works

17 of 17 papers shown
1.
Rivera‐Milla, Eric, et al.. (2017). Evaluation of a Urine-Based Rapid Molecular Diagnostic Test with Potential to Be Used at Point-of-Care for Pulmonary Tuberculosis. Journal of Molecular Diagnostics. 20(2). 215–224. 20 indexed citations
2.
Rivera‐Milla, Eric, Peter Slickers, Sönke Andres, et al.. (2017). An application of competitive reporter monitored amplification (CMA) for rapid detection of single nucleotide polymorphisms (SNPs). PLoS ONE. 12(8). e0183561–e0183561. 2 indexed citations
3.
Heyckendorf, Jan, Christian Herzmann, Thomas A. Kohl, et al.. (2016). Detection of transrenal DNA for the diagnosis of pulmonary tuberculosis and treatment monitoring. Infection. 45(3). 269–276. 27 indexed citations
4.
Mentrup, Torben, Bertrand Kleizen, Eric Rivera‐Milla, et al.. (2013). Small molecules intercept Notch signaling and the early secretory pathway. Nature Chemical Biology. 9(11). 731–738. 48 indexed citations
5.
Rivera‐Milla, Eric, Nirakar Sahoo, Christina Ebert, et al.. (2012). Kcnh1 Voltage-gated Potassium Channels Are Essential for Early Zebrafish Development. Journal of Biological Chemistry. 287(42). 35565–35575. 22 indexed citations
6.
Rivera‐Milla, Eric, et al.. (2011). Ncam1a and Ncam1b: Two carriers of polysialic acid with different functions in the developing zebrafish nervous system. Glycobiology. 22(2). 196–209. 15 indexed citations
7.
Palma, R. Eduardo, Enrique Rodríguez‐Serrano, Eric Rivera‐Milla, et al.. (2010). Phylogenetic relationships of the pygmy rice rats of the genus Oligoryzomys Bangs, 1900 (Rodentia: Sigmodontinae). Zoological Journal of the Linnean Society. 160(3). 551–566. 24 indexed citations
8.
Bentrop, Joachim, et al.. (2008). Molecular evolution and expression of zebrafish St8SiaIII, an alpha‐2,8‐sialyltransferase involved in myotome development. Developmental Dynamics. 237(3). 808–818. 17 indexed citations
9.
Rivera‐Milla, Eric, et al.. (2007). Divergent evolution of the vertebrate polysialyltransferase Stx and Pst genes revealed by fish-to-mammal comparison. Developmental Biology. 306(2). 560–571. 20 indexed citations
10.
Solis, Gonzalo P., et al.. (2007). Reggie/flotillin proteins are organized into stable tetramers in membrane microdomains. Biochemical Journal. 403(2). 313–322. 158 indexed citations
11.
Rivera‐Milla, Eric, Claudia A. O. Stuermer, & Edward Málaga‐Trillo. (2006). Ancient origin of reggie (flotillin), reggie-like, and other lipid-raft proteins: convergent evolution of the SPFH domain. Cellular and Molecular Life Sciences. 63(3). 343–357. 122 indexed citations
12.
Palma, R. Eduardo, Eric Rivera‐Milla, Jorge Salazar‐Bravo, et al.. (2005). PHYLOGEOGRAPHY OF OLIGORYZOMYS LONGICAUDATUS (RODENTIA: SIGMODONTINAE) IN TEMPERATE SOUTH AMERICA. Journal of Mammalogy. 86(1). 191–200. 64 indexed citations
13.
Rivera‐Milla, Eric, Birgit Oidtmann, Cynthia H. Panagiotidis, et al.. (2005). Disparate evolution of prion protein domains and the distinct origin of Doppel‐ and prion‐related loci revealed by fish‐to‐mammal comparisons. The FASEB Journal. 20(2). 317–319. 74 indexed citations
14.
Reuter, Alexander, Edward Málaga‐Trillo, Eric Rivera‐Milla, et al.. (2004). Evolutionary Analysis and Expression of Teleost Thy-1. Zebrafish. 1(3). 191–201. 4 indexed citations
15.
Philipsborn, Anne C. von, Anna Ferrer‐Vaquer, Eric Rivera‐Milla, Claudia A. O. Stuermer, & Edward Málaga‐Trillo. (2004). Restricted expression ofreggiegenes and proteins during early zebrafish development. The Journal of Comparative Neurology. 482(3). 257–272. 16 indexed citations
16.
Rivera‐Milla, Eric, Claudia A. O. Stuermer, & Edward Málaga‐Trillo. (2003). An evolutionary basis for scrapie disease: identification of a fish prion mRNA. Trends in Genetics. 19(2). 72–75. 51 indexed citations
17.
Palma, R. Eduardo, et al.. (2002). Filogeografía de las llacas chilenas del género Thylamys (Marsupialia, Didelphidae) en base a secuencias del gen mitocondrial citocromo b. Revista chilena de historia natural. 75(2). 10 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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