Rolando Rivera‐Pomar

3.1k total citations
34 papers, 1.8k citations indexed

About

Rolando Rivera‐Pomar is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rolando Rivera‐Pomar has authored 34 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 11 papers in Genetics and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rolando Rivera‐Pomar's work include RNA Research and Splicing (10 papers), Developmental Biology and Gene Regulation (10 papers) and Genomics and Chromatin Dynamics (9 papers). Rolando Rivera‐Pomar is often cited by papers focused on RNA Research and Splicing (10 papers), Developmental Biology and Gene Regulation (10 papers) and Genomics and Chromatin Dynamics (9 papers). Rolando Rivera‐Pomar collaborates with scholars based in Argentina, Germany and Mexico. Rolando Rivera‐Pomar's co-authors include Herbert Jäckle, Sheila Ons, Dierk Niessing, Rainer Heintzmann, Dierk Ingelfinger, Tilmann Achsel, Reinhard Lührmann, Walter J. Gehring, Urs Schmidt‐Ott and Henning Urlaub and has published in prestigious journals such as Nature, Genes & Development and Molecular Cell.

In The Last Decade

Rolando Rivera‐Pomar

33 papers receiving 1.7k citations

Peers

Rolando Rivera‐Pomar
Jim Thurmond United States
Scott J. Gratz United States
Richard M. Cripps United States
Jeremy Lynch United States
Jason R. Kennerdell United States
Chaoyang Ye United States
Tasman Daish Australia
Jeongsil Kim‐Ha South Korea
Jim Thurmond United States
Rolando Rivera‐Pomar
Citations per year, relative to Rolando Rivera‐Pomar Rolando Rivera‐Pomar (= 1×) peers Jim Thurmond

Countries citing papers authored by Rolando Rivera‐Pomar

Since Specialization
Citations

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

Fields of papers citing papers by Rolando Rivera‐Pomar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rolando Rivera‐Pomar

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

All Works

20 of 20 papers shown
1.
Pascual, Agustina, et al.. (2024). Central role of squid gene during oocyte development in the Hemiptera Rhodnius prolixus. Journal of Insect Physiology. 159. 104719–104719.
2.
Hernández, Greco, et al.. (2023). Drosophila Me31B is a Dual eIF4E-Interacting Protein. Journal of Molecular Biology. 435(5). 167949–167949. 4 indexed citations
3.
Rivera‐Pomar, Rolando, et al.. (2021). Modulation of IMD, Toll, and Jak/STAT Immune Pathways Genes in the Fat Body of Rhodnius prolixus During Trypanosoma rangeli Infection. Frontiers in Cellular and Infection Microbiology. 10. 598526–598526. 7 indexed citations
4.
Pessacq, Pablo & Rolando Rivera‐Pomar. (2019). A new Andiperla Aubert (Plecoptera, Gripopterygidae) species from the Perito Moreno Glacier, Argentina. Zootaxa. 4664(2). zootaxa.4664.2.7–zootaxa.4664.2.7. 1 indexed citations
6.
Lavore, Andrés, et al.. (2015). Comparative analysis of zygotic developmental genes in Rhodnius prolixus genome shows conserved features on the tracheal developmental pathway. Insect Biochemistry and Molecular Biology. 64. 32–43. 10 indexed citations
7.
Ons, Sheila, Andrés Lavore, Marcos Sterkel, et al.. (2015). Identification of G protein coupled receptors for opsines and neurohormones in Rhodnius prolixus. Genomic and transcriptomic analysis. Insect Biochemistry and Molecular Biology. 69. 34–50. 53 indexed citations
8.
Lavore, Andrés, et al.. (2014). The gap gene Krüppel of Rhodnius prolixus is required for segmentation and for repression of the homeotic gene sex comb-reduced. Developmental Biology. 387(1). 121–129. 10 indexed citations
9.
Lavore, Andrés, et al.. (2011). The gap gene giant of Rhodnius prolixus is maternally expressed and required for proper head and abdomen formation. Developmental Biology. 361(1). 147–155. 27 indexed citations
10.
Ons, Sheila, Marcos Sterkel, Luis Diambra, Henning Urlaub, & Rolando Rivera‐Pomar. (2010). Neuropeptide precursor gene discovery in the Chagas disease vector Rhodnius prolixus. Insect Molecular Biology. 20(1). 29–44. 91 indexed citations
11.
Ingelfinger, Dierk, et al.. (2005). A role for eIF4E and eIF4E-transporter in targeting mRNPs to mammalian processing bodies. RNA. 11(5). 717–727. 322 indexed citations
12.
Vázquez‐Pianzola, Paula, Henning Urlaub, & Rolando Rivera‐Pomar. (2005). Proteomic analysis of reaper 5' untranslated region‐interacting factors isolated by tobramycin affinity‐selection reveals a role for La antigen in reaper mRNA translation. PROTEOMICS. 5(6). 1645–1655. 10 indexed citations
13.
Hernández, Greco, Paula Vázquez‐Pianzola, José M. Sierra, & Rolando Rivera‐Pomar. (2004). Internal ribosome entry site drives cap-independent translation of reaper and heat shock protein 70 mRNAs in Drosophila embryos. RNA. 10(11). 1783–1797. 65 indexed citations
14.
Hernández, Greco, Paula Vázquez‐Pianzola, Andreas Zurbriggen, et al.. (2004). Two functionally redundant isoforms of Drosophila melanogaster eukaryotic initiation factor 4B are involved in cap‐dependent translation, cell survival, and proliferation. European Journal of Biochemistry. 271(14). 2923–2936. 23 indexed citations
15.
Hernández, Greco, Michael Altmann, José M. Sierra, et al.. (2004). Functional analysis of seven genes encoding eight translation initiation factor 4E (eIF4E) isoforms in Drosophila. Mechanisms of Development. 122(4). 529–543. 84 indexed citations
16.
Niessing, Dierk, Wolfgang Driever, Frank Sprenger, et al.. (2000). Homeodomain Position 54 Specifies Transcriptional versus Translational Control by Bicoid. Molecular Cell. 5(2). 395–401. 49 indexed citations
17.
Ziebold, Ulrike, et al.. (1998). Activation of posterior pair-rule stripe expression in response to maternal caudal and zygotic knirps activities. Mechanisms of Development. 71(1-2). 177–186. 17 indexed citations
18.
Niessing, Dierk, et al.. (1997). A cascade of transcriptional control leading to axis determination inDrosophila. Journal of Cellular Physiology. 173(2). 162–167. 22 indexed citations
19.
Sauer, Frank, Rolando Rivera‐Pomar, Michael Hoch, & Herbert Jäckle. (1996). Gene regulation in the Drosophila embryo. Philosophical Transactions of the Royal Society B Biological Sciences. 351(1339). 579–587. 15 indexed citations
20.
Rivera‐Pomar, Rolando & Herbert Jäckle. (1996). From gradients to stripes in Drosophila embryogenesis: filling in the gaps. Trends in Genetics. 12(11). 478–483. 202 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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