Hugo Folch

2.7k total citations · 1 hit paper
75 papers, 2.3k citations indexed

About

Hugo Folch is a scholar working on Immunology, Physiology and Equine. According to data from OpenAlex, Hugo Folch has authored 75 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Immunology, 19 papers in Physiology and 16 papers in Equine. Recurrent topics in Hugo Folch's work include Veterinary Equine Medical Research (16 papers), Asthma and respiratory diseases (13 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). Hugo Folch is often cited by papers focused on Veterinary Equine Medical Research (16 papers), Asthma and respiratory diseases (13 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). Hugo Folch collaborates with scholars based in Chile, United States and Germany. Hugo Folch's co-authors include Byron H. Waksman, Gabriel Morán, César Uribe, R Enríquez, Masaru Yoshinaga, Ángel Oñate, Edilia Andrews, Carmen Maldonado‐Bernal, F. Patricio Ojeda and Sandra Céspedes and has published in prestigious journals such as Nature, The Journal of Immunology and PLoS ONE.

In The Last Decade

Hugo Folch

70 papers receiving 2.1k citations

Hit Papers

Innate and adaptive immunity in teleost fish: a review 2011 2026 2016 2021 2011 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hugo Folch Chile 20 1.3k 424 406 297 231 75 2.3k
Elizabeth A. Spangler United States 23 227 0.2× 88 0.2× 850 2.1× 183 0.6× 269 1.2× 68 2.5k
Rashika El Ridi Egypt 29 493 0.4× 82 0.2× 496 1.2× 326 1.1× 174 0.8× 122 3.0k
Marc Yeste Spain 44 329 0.3× 73 0.2× 1.2k 3.0× 116 0.4× 53 0.2× 279 6.7k
Changxin Wu China 29 343 0.3× 62 0.1× 1.6k 4.0× 60 0.2× 356 1.5× 257 3.8k
Louis J. DeTolla United States 29 351 0.3× 28 0.1× 524 1.3× 142 0.5× 346 1.5× 69 2.1k
Christopher K. Tuggle United States 38 701 0.5× 28 0.1× 1.6k 4.0× 207 0.7× 125 0.5× 193 4.2k
Bunei Syuto Japan 27 387 0.3× 20 0.0× 603 1.5× 231 0.8× 57 0.2× 98 1.9k
H. Sauerwein Germany 40 279 0.2× 54 0.1× 745 1.8× 1.2k 3.9× 331 1.4× 256 5.5k
Paul Guilloteau France 32 190 0.1× 144 0.3× 999 2.5× 822 2.8× 146 0.6× 125 3.7k
Gregory Beck United States 27 917 0.7× 252 0.6× 369 0.9× 43 0.1× 62 0.3× 70 2.0k

Countries citing papers authored by Hugo Folch

Since Specialization
Citations

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

Fields of papers citing papers by Hugo Folch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hugo Folch

This figure shows the co-authorship network connecting the top 25 collaborators of Hugo Folch. A scholar is included among the top collaborators of Hugo Folch 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 Hugo Folch. Hugo Folch 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.
Sarmiento, José, et al.. (2018). Tamoxifen induces apoptotic neutrophil efferocytosis in horses. Veterinary Research Communications. 42(1). 57–63. 11 indexed citations
2.
Morán, Gabriel, et al.. (2017). Modulatory role of regulatory T cells in a murine model of severe equine asthma. BMC Veterinary Research. 13(1). 117–117. 2 indexed citations
3.
Morán, Gabriel, et al.. (2017). Aspergillus fumigatus-sensitive IgE is associated with bronchial hypersensitivity in a murine model of neutrophilic airway inflammation. Journal de Mycologie Médicale. 28(1). 128–136. 3 indexed citations
4.
Folch, Hugo, et al.. (2016). In Vitro effects of tamoxifen on equine neutrophils. Research in Veterinary Science. 110. 60–64. 14 indexed citations
6.
Sarmiento, José, et al.. (2013). Apoptotic effects of tamoxifen on leukocytes from horse peripheral blood and bronchoalveolar lavage fluid. Veterinary Research Communications. 37(4). 333–338. 16 indexed citations
7.
Morán, Gabriel, et al.. (2012). Reaginic antibodies from horses with Recurrent Airway Obstruction produce mast cell stimulation. Veterinary Research Communications. 36(4). 251–258. 7 indexed citations
8.
Morán, Gabriel, et al.. (2011). Increased apoptosis of CD4 and CD8 T lymphocytes in the airways of horses with recurrent airway obstruction. Veterinary Research Communications. 35(7). 447–456. 7 indexed citations
9.
Morán, Gabriel, et al.. (2010). Detection of reaginic antibodies against Faenia rectivirgula from the serum of horses affected with Recurrent Airway Obstruction by an in vitro bioassay. Veterinary Research Communications. 34(8). 719–726. 11 indexed citations
10.
Andrews, Edilia, et al.. (2008). Cloning, expression and immunogenicity of the translation initiation factor 3 homologue of Brucella abortus. Immunobiology. 214(2). 113–120. 10 indexed citations
11.
Ojeda, F. Patricio, Charlotte Lovengreen, M. Hidalgo, et al.. (2004). Ultraviolet exposure of thymocytes: selective inhibition of apoptosis. International Journal of Radiation Biology. 80(6). 445–450. 1 indexed citations
12.
Burgos, Rafael A., et al.. (2004). Determination of specific receptor sites for platelet activating factor in bovine neutrophils. American Journal of Veterinary Research. 65(5). 628–636. 10 indexed citations
13.
Oñate, Ángel, et al.. (2000). Frequent Exposure of Mice to Crude Brucella abortus Proteins Down‐regulates Immune Response. Journal of Veterinary Medicine Series B. 47(9). 677–682. 21 indexed citations
14.
Céspedes, Sandra, Edilia Andrews, Hugo Folch, & Ángel Oñate. (2000). Identification and partial characterisation of a new protective antigen of Brucella abortus. Journal of Medical Microbiology. 49(2). 165–170. 32 indexed citations
15.
Henkel, Ralf, et al.. (1998). Production and characterization of monoclonal antibodies to the major protein of boar outer dense fibers. Journal of Reproductive Immunology. 40(1). 81–91. 1 indexed citations
16.
Ojeda, F. Patricio, et al.. (1992). Role of Protein Kinase-C in Thymocyte Apoptosis Induced by Irradiation. International Journal of Radiation Biology. 61(5). 663–667. 49 indexed citations
17.
Maldonado‐Bernal, Carmen, et al.. (1992). A flow-cytometric method to study DNA fragmentation in lymphocytes. Journal of Immunological Methods. 152(2). 171–176. 27 indexed citations
18.
Folch, Hugo, et al.. (1991). Rise in thymocyte number and thymulin serum level induced by noise. Immunology Letters. 30(3). 301–305. 9 indexed citations
19.
Maldonado‐Bernal, Carmen, et al.. (1990). Protein kinase-C involvement in thymocyte apoptosis induced by hydrocortisone. Cellular Immunology. 125(2). 535–539. 88 indexed citations
20.
Thomas, Howard C., Charles R.J. Singer, Nicholas L. Tilney, Hugo Folch, & R N MacSween. (1976). The immune response in cirrhotic rats. Antigen distribution, humoral immunity, cell-mediated immunity and splenic suppressor cell activity.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 26(3). 574–82. 19 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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