Margarito Rojas

578 total citations
8 papers, 453 citations indexed

About

Margarito Rojas is a scholar working on Infectious Diseases, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Margarito Rojas has authored 8 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 4 papers in Molecular Biology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Margarito Rojas's work include Viral gastroenteritis research and epidemiology (5 papers), Viral Infections and Immunology Research (3 papers) and Animal Virus Infections Studies (3 papers). Margarito Rojas is often cited by papers focused on Viral gastroenteritis research and epidemiology (5 papers), Viral Infections and Immunology Research (3 papers) and Animal Virus Infections Studies (3 papers). Margarito Rojas collaborates with scholars based in Mexico, United States and Cuba. Margarito Rojas's co-authors include Susana López, Carlos F. Arias, Thomas Dever, Hilda Montero, Carlos F. Arias, Tomás López, Anne‐Claude Gingras, Ramanavelan Sakthivel, Min Zhang and Robert Ménard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Virology and Journal of General Virology.

In The Last Decade

Margarito Rojas

8 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Margarito Rojas Mexico	7	205	203	118	99	91	8	453
Stephen B. Deitz United States	11	178 0.9×	136 0.7×	94 0.8×	23 0.2×	58 0.6×	12	415
Zaikun Xu Canada	10	286 1.4×	233 1.1×	49 0.4×	36 0.4×	78 0.9×	14	593
Scott M. Robinson United States	4	169 0.8×	102 0.5×	109 0.9×	31 0.3×	124 1.4×	4	346
Margot Carocci United States	7	116 0.6×	120 0.6×	104 0.9×	32 0.3×	66 0.7×	8	326
Ching-Len Liao Taiwan	9	106 0.5×	225 1.1×	36 0.3×	63 0.6×	67 0.7×	10	447
Turgut E. Aktepe Australia	8	112 0.5×	201 1.0×	39 0.3×	36 0.4×	71 0.8×	14	431
Andreas Lundgren Sweden	9	150 0.7×	68 0.3×	38 0.3×	121 1.2×	250 2.7×	17	485
Matthew Whelband United Kingdom	4	148 0.7×	139 0.7×	25 0.2×	41 0.4×	140 1.5×	6	344
Derk E. Schultz United States	8	220 1.1×	138 0.7×	174 1.5×	33 0.3×	105 1.2×	8	480
Wei Wen China	9	74 0.4×	101 0.5×	115 1.0×	82 0.8×	51 0.6×	17	309

Countries citing papers authored by Margarito Rojas

Since Specialization

Citations

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

Fields of papers citing papers by Margarito Rojas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margarito Rojas. 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 Margarito Rojas. The network helps show where Margarito Rojas may publish in the future.

Co-authorship network of co-authors of Margarito Rojas

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

All Works

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8 of 8 papers shown

Rojas, Margarito, et al.. (2015). An eIF2α-binding motif in protein phosphatase 1 subunit GADD34 and its viral orthologs is required to promote dephosphorylation of eIF2α. Proceedings of the National Academy of Sciences. 112(27). E3466–75. 68 indexed citations

Rojas, Margarito, et al.. (2015). Rotavirus Controls Activation of the 2′-5′-Oligoadenylate Synthetase/RNase L Pathway Using at Least Two Distinct Mechanisms. Journal of Virology. 89(23). 12145–12153. 32 indexed citations

Rojas, Margarito, Anne‐Claude Gingras, & Thomas Dever. (2014). Protein phosphatase PP1/GLC7 interaction domain in yeast eIF2γ bypasses targeting subunit requirement for eIF2α dephosphorylation. Proceedings of the National Academy of Sciences. 111(14). E1344–53. 25 indexed citations

Zhang, Min, Satish Mishra, Ramanavelan Sakthivel, et al.. (2012). PK4, a eukaryotic initiation factor 2α(eIF2α) kinase, is essential for the development of the erythrocytic cycle of Plasmodium. Proceedings of the National Academy of Sciences. 109(10). 3956–3961. 73 indexed citations

Rojas, Margarito, Carlos F. Arias, & Susana López. (2010). Protein Kinase R Is Responsible for the Phosphorylation of eIF2α in Rotavirus Infection. Journal of Virology. 84(20). 10457–10466. 65 indexed citations

Rojas, Margarito, Camilo Breton, & Susana López. (2008). Biología molecular de rotavirus: una mirada a través de la interferencia de RNA. 32. 149–162. 1 indexed citations

Montero, Hilda, Margarito Rojas, Carlos F. Arias, & Susana López. (2007). Rotavirus Infection Induces the Phosphorylation of eIF2α but Prevents the Formation of Stress Granules. Journal of Virology. 82(3). 1496–1504. 116 indexed citations

López, Tomás, et al.. (2005). Reduced expression of the rotavirus NSP5 gene has a pleiotropic effect on virus replication. Journal of General Virology. 86(6). 1609–1617. 73 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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