Manuel Llano

3.2k total citations · 2 hit papers
24 papers, 2.7k citations indexed

About

Manuel Llano is a scholar working on Immunology, Epidemiology and Oncology. According to data from OpenAlex, Manuel Llano has authored 24 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 6 papers in Epidemiology and 4 papers in Oncology. Recurrent topics in Manuel Llano's work include Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (11 papers) and Reproductive System and Pregnancy (4 papers). Manuel Llano is often cited by papers focused on Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (11 papers) and Reproductive System and Pregnancy (4 papers). Manuel Llano collaborates with scholars based in Spain, United States and Switzerland. Manuel Llano's co-authors include Miguel López‐Botet, Francisco Navarro, Daniel E. Geraghty, Teresa Bellón, Ni Lee, Pilar Garcı́a, Marta Carretero, Akiko Ishitani, Marco Colonna and Jacqueline Samaridis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Manuel Llano

22 papers receiving 2.6k citations

Hit Papers

HLA-E is a major ligand for the natural killer inhibitory... 1997 2026 2006 2016 1998 1997 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
Manuel Llano Spain 14 2.4k 445 319 239 227 24 2.7k
Ni Lee United States 13 2.7k 1.1× 312 0.7× 289 0.9× 369 1.5× 297 1.3× 14 2.8k
Lena Ångman Switzerland 11 2.7k 1.1× 581 1.3× 174 0.5× 245 1.0× 246 1.1× 14 3.1k
Christopher A. O'Callaghan United Kingdom 8 2.3k 0.9× 449 1.0× 269 0.8× 107 0.4× 76 0.3× 9 2.5k
Pilar Garcı́a Spain 7 1.3k 0.5× 185 0.4× 161 0.5× 147 0.6× 141 0.6× 8 1.4k
Matthias Ulbrecht Germany 17 1.5k 0.6× 208 0.5× 275 0.9× 92 0.4× 84 0.4× 25 1.7k
Akiko Ishitani Japan 22 3.3k 1.3× 317 0.7× 258 0.8× 788 3.3× 628 2.8× 36 3.5k
Neil T. Young United Kingdom 20 3.0k 1.2× 589 1.3× 417 1.3× 78 0.3× 57 0.3× 51 3.4k
Tsufit Gonen‐Gross Israel 13 926 0.4× 145 0.3× 227 0.7× 95 0.4× 109 0.5× 16 1.1k
Laszlo Pazmany United States 13 871 0.4× 96 0.2× 224 0.7× 117 0.5× 80 0.4× 16 1.2k
Raizy Gruda Israel 11 882 0.4× 228 0.5× 206 0.6× 63 0.3× 116 0.5× 11 1.1k

Countries citing papers authored by Manuel Llano

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Llano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Llano

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Llano. A scholar is included among the top collaborators of Manuel Llano 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 Manuel Llano. Manuel Llano 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.
Mohl, Jonathon E., et al.. (2019). Schlafen 11 Restricts Flavivirus Replication. Journal of Virology. 93(15). 37 indexed citations
2.
Llano, Manuel, et al.. (2018). Diagnosis cultural y natural de la Ruta Huichol a Huiricuta: Criterios para su inclusión en la lista de Patrimonio Mundial. Investigaciones Geográficas Boletín del Instituto de Geografía. 2 indexed citations
3.
Llano, Manuel & Mario A. Peña-Hernández. (2017). Defining Pharmacological Targets by Analysis of Virus–Host Protein Interactions. Advances in protein chemistry and structural biology. 111. 223–242. 3 indexed citations
4.
Reuschenbach, Miriam, Claudia Lohrey, Anja Honegger, et al.. (2014). Oncogenic Human Papillomaviruses Activate the Tumor-Associated Lens Epithelial-Derived Growth Factor (LEDGF) Gene. PLoS Pathogens. 10(3). e1003957–e1003957. 33 indexed citations
5.
Reyes, Daniel, et al.. (2012). Poly(ADP-Ribose) Polymerase 1 Promotes Transcriptional Repression of Integrated Retroviruses. Journal of Virology. 87(5). 2496–2507. 31 indexed citations
6.
Carrasco, Rodrigo, et al.. (2009). Hemangioma cavernoso intraóseo craneal. Neurocirugía. 20(6). 559–62. 1 indexed citations
7.
Llano, Manuel, et al.. (2009). Hemangioma cavernoso intraóseo craneal. Neurocirugía. 20(6). 559–562. 2 indexed citations
8.
9.
López‐Botet, Miguel, et al.. (2001). Human cytomegalovirus and natural killer‐mediated surveillance of HLA class I expression: a paradigm of host–pathogen adaptation. Immunological Reviews. 181(1). 193–202. 36 indexed citations
10.
Matamoros, N, Joan Milà, Manuel Llano, et al.. (2001). Molecular studies and NK cell function of a new case of TAP2 homozygous human deficiency. Clinical & Experimental Immunology. 125(2). 274–282. 20 indexed citations
11.
López‐Botet, Miguel, Manuel Llano, Francisco Navarro, & Teresa Bellón. (2000). NK cell recognition of non-classical HLA class I molecules. Seminars in Immunology. 12(2). 109–119. 150 indexed citations
12.
López‐Botet, Miguel, Teresa Bellón, Manuel Llano, et al.. (2000). Paired inhibitory and triggering NK cell receptors for HLA class I molecules. Human Immunology. 61(1). 7–17. 86 indexed citations
13.
Navarro, Francisco, Manuel Llano, Pilar Garcı́a, & Miguel López‐Botet. (1999). NK cell mediated recognition of HLA class Ib molecules: role of CD94/NKG2 receptors. Journal of Reproductive Immunology. 43(2). 167–173. 7 indexed citations
14.
López‐Botet, Miguel, Francisco Navarro, & Manuel Llano. (1999). How do NK cells sense the expression of HLA-G class Ib molecules?. Seminars in Cancer Biology. 9(1). 19–26. 39 indexed citations
15.
Bellón, Teresa, Manuel Llano, Alfredo Minguela, et al.. (1999). Triggering of Effector Functions on a CD8+ T Cell Clone Upon the Aggregation of an Activatory CD94/kp39 Heterodimer. The Journal of Immunology. 162(7). 3996–4002. 57 indexed citations
16.
Llano, Manuel. (1998). Obras completas (3 vols.). Dialnet (Universidad de la Rioja). 8 indexed citations
17.
Llano, Manuel, Ni Lee, Francisco Navarro, et al.. (1998). HLA-E-bound peptides influence recognition by inhibitory and triggering CD94/NKG2 receptors: preferential response to an HLA-G-derived nonamer. European Journal of Immunology. 28(9). 2854–2863. 308 indexed citations
18.
Lee, Ni, Manuel Llano, Marta Carretero, et al.. (1998). HLA-E is a major ligand for the natural killer inhibitory receptor CD94/NKG2A. Proceedings of the National Academy of Sciences. 95(9). 5199–5204. 830 indexed citations breakdown →
19.
López‐Botet, Miguel, Marta Carretero, Juan J. Pérez‐Villar, et al.. (1997). The CD94/NKG2 C-type lectin receptor complex. Immunologic Research. 16(2). 175–185. 12 indexed citations
20.
Pérez‐Villar, Juan J., Ignacio Melero, Francisco Navarro, et al.. (1997). The CD94/NKG2-A inhibitory receptor complex is involved in natural killer cell-mediated recognition of cells expressing HLA-G1. The Journal of Immunology. 158(12). 5736–5743. 141 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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