Miguel Rojas

1.0k total citations
42 papers, 838 citations indexed

About

Miguel Rojas is a scholar working on Epidemiology, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Miguel Rojas has authored 42 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 15 papers in Infectious Diseases and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Miguel Rojas's work include Trypanosoma species research and implications (14 papers), Viral gastroenteritis research and epidemiology (12 papers) and Animal Virus Infections Studies (9 papers). Miguel Rojas is often cited by papers focused on Trypanosoma species research and implications (14 papers), Viral gastroenteritis research and epidemiology (12 papers) and Animal Virus Infections Studies (9 papers). Miguel Rojas collaborates with scholars based in Peru, Venezuela and Brazil. Miguel Rojas's co-authors include J L Avila, Uri Galili, Harry Towbin, M. Rieber, Alberto Manchego S., Rupert Timpl, Norma Santos, H Nowack, Günter Rosenfelder and Klaus Esser and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Journal of Clinical Microbiology.

In The Last Decade

Miguel Rojas

40 papers receiving 819 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miguel Rojas Peru 16 299 228 211 158 146 42 838
Karen A. Chachu United States 9 223 0.7× 85 0.4× 424 2.0× 79 0.5× 164 1.1× 13 958
Erik Samayoa United States 10 505 1.7× 86 0.4× 372 1.8× 73 0.5× 279 1.9× 13 1.0k
R. C. Giles United States 16 236 0.8× 112 0.5× 136 0.6× 91 0.6× 72 0.5× 38 1.1k
Robert V. Schoborg United States 19 364 1.2× 67 0.3× 163 0.8× 92 0.6× 379 2.6× 45 1.0k
Helen M. Acland United States 19 299 1.0× 60 0.3× 220 1.0× 47 0.3× 75 0.5× 54 964
A. Hasegawa Japan 15 164 0.5× 107 0.5× 669 3.2× 66 0.4× 125 0.9× 30 982
Antônio Carlos Alessi Brazil 17 293 1.0× 62 0.3× 228 1.1× 148 0.9× 86 0.6× 90 997
Alwin J. van der Ham Netherlands 15 158 0.5× 49 0.2× 247 1.2× 126 0.8× 306 2.1× 19 1.1k
Siro Bianchi Switzerland 7 525 1.8× 34 0.1× 251 1.2× 86 0.5× 149 1.0× 9 761
Elin Kindberg Sweden 10 145 0.5× 29 0.1× 570 2.7× 121 0.8× 70 0.5× 12 810

Countries citing papers authored by Miguel Rojas

Since Specialization
Citations

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

Fields of papers citing papers by Miguel Rojas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miguel Rojas

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Rojas. A scholar is included among the top collaborators of Miguel 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 Miguel Rojas. Miguel Rojas 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.
Jiménez, Juan A., Walter Silva, María Teresa Rugeles López, et al.. (2024). Surveillance of coronavirus in wild mammals seized and rescued by the National Forest and Wildlife Service of Peru. Acta Tropica. 260. 107453–107453.
5.
Rojas, Miguel, et al.. (2019). Genetic diversity and zoonotic potential of rotavirus A strains in the southern Andean highlands, Peru. Transboundary and Emerging Diseases. 66(4). 1718–1726. 21 indexed citations
6.
Rojas, Miguel, et al.. (2018). Molecular epidemiology of coronavirus in faeces of Brazilian calves and Peruvian camelid herds. The Journal of Infection in Developing Countries. 12(1). 37–42. 7 indexed citations
7.
Rojas, Miguel, et al.. (2017). Identification of two novel Rotavirus A genotypes, G35 and P[50], from Peruvian alpaca faeces. Infection Genetics and Evolution. 55. 71–74. 18 indexed citations
8.
Rojas, Miguel, et al.. (2016). Whole-genome characterization of a Peruvian alpaca rotavirus isolate expressing a novel VP4 genotype. Veterinary Microbiology. 196. 27–35. 12 indexed citations
9.
Santos, Norma, et al.. (2015). Salivirus and aichivirus A infections in children with gastroenteritis in Brazil. Clinical Microbiology and Infection. 21(8). 799.e1–799.e3. 19 indexed citations
10.
Mendes, Gabriella S., Miguel Rojas, J. Couceiro, et al.. (2014). Frequency of viral etiology in symptomatic adult upper respiratory tract infections. The Brazilian Journal of Infectious Diseases. 19(1). 30–35. 10 indexed citations
11.
S., Alberto Manchego, et al.. (2012). SEROPREVALENCIA DE ANTICUERPOS CONTRA SEROVARES DE Leptospira spp EN YEGUAS DE UN HARAS DE LA CIUDAD DE LIMA.. Revista de Investigaciones Veterinarias del Perú. 23(4). 3 indexed citations
12.
Avila, J L, Miguel Rojas, & A Avila. (1998). Increase in asialoganglioside- and monosialoganglioside-reactive antibodies in chronic Chagas' disease patients.. American Journal of Tropical Medicine and Hygiene. 58(3). 338–342. 9 indexed citations
13.
Avila, J L, et al.. (1998). Títulos de anticuerpos antisulfátido en pacientes con cardiopatía chagásica crónica y con otras formas de cardiopatía. Revista Panamericana de Salud Pública. 3(4). 249–56. 1 indexed citations
14.
Tremont‐Lukats, Ivo W., et al.. (1997). Antibody Levels against α-Galactosyl Epitopes in Sera of Patients with Squamous Intraepithelial Lesions and Early Invasive Cervical Carcinoma. Gynecologic Oncology. 64(2). 207–212. 5 indexed citations
15.
Feldman, Sara, et al.. (1997). Depressed autoantibody synthesis in Trypanosoma cruzi-infected rats born to mothers undergoing this infection during pregnancy. Journal of Reproductive Immunology. 34(3). 177–184. 3 indexed citations
16.
Avila, J L, Miguel Rojas, & Hugo Carrasco. (1993). Elevated levels of antibodies against sulphatide are present in all chronic chagasic and dilated cardiomyopathy sera. Clinical & Experimental Immunology. 92(3). 460–465. 16 indexed citations
17.
Avila, J L, et al.. (1992). Parasitic Oligosaccharide Residues Recognized by Patients with Mucocutaneous and Localized Cutaneous Leishmaniasis. American Journal of Tropical Medicine and Hygiene. 47(3). 284–290. 5 indexed citations
18.
Avila, J L, et al.. (1992). Characterization of a Natural Human Antibody with Anti-Galactosyl(α1-2)galactose Specificity that is Present at High Titers in Chronic Trypanosoma Cruzi Infection. American Journal of Tropical Medicine and Hygiene. 47(4). 413–421. 11 indexed citations
19.
Rojas, Miguel, et al.. (1990). Elevated Cerebroside Antibody Levels in Human Visceral and Cutaneous leishmaniasis, Trypanosoma rangeli Infection, and Chronic Chagas' Disease. American Journal of Tropical Medicine and Hygiene. 43(1). 52–60. 22 indexed citations
20.
Towbin, Harry, Günter Rosenfelder, Jörgen Wieslander, et al.. (1987). Circulating antibodies to mouse laminin in Chagas disease, American cutaneous leishmaniasis, and normal individuals recognize terminal galactosyl(alpha 1-3)-galactose epitopes.. The Journal of Experimental Medicine. 166(2). 419–432. 145 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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