Clemencia Pinilla

12.5k total citations · 3 hit papers
152 papers, 9.1k citations indexed

About

Clemencia Pinilla is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Clemencia Pinilla has authored 152 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Molecular Biology, 56 papers in Radiology, Nuclear Medicine and Imaging and 53 papers in Immunology. Recurrent topics in Clemencia Pinilla's work include Monoclonal and Polyclonal Antibodies Research (56 papers), Chemical Synthesis and Analysis (38 papers) and vaccines and immunoinformatics approaches (30 papers). Clemencia Pinilla is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (56 papers), Chemical Synthesis and Analysis (38 papers) and vaccines and immunoinformatics approaches (30 papers). Clemencia Pinilla collaborates with scholars based in United States, Switzerland and Germany. Clemencia Pinilla's co-authors include Richard A. Houghten, Jon R. Appel, Sylvie E. Blondelle, Colette T. Dooley, Richard A. Houghten, Julio H. Cuervo, Roland Martinꝉ, Marc A. Giulianotti, Jens Appel and Bernhard Hemmer and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Clemencia Pinilla

151 papers receiving 8.9k citations

Hit Papers

Generation and use of synthetic peptide combinatorial lib... 1991 2026 2002 2014 1991 2020 1997 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Generation and use of synthetic peptide combinatorial libraries for basic research and drug discovery
    1991 1.1k citations Clemencia Pinilla, Jon R. Appel et al. profile →
  2. The value of antimicrobial peptides in the age of resistance
    2020 806 citations Marc A. Giulianotti, Clemencia Pinilla et al. profile →
  3. A conformational transition at the N terminus of the prion protein features in formation of the scrapie isoform 1 1Edited by M. Yaniv
    1997 298 citations Clemencia Pinilla, Richard A. Houghten et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clemencia Pinilla United States 50 6.0k 2.7k 1.8k 1.1k 956 152 9.1k
Jens Schneider‐Mergener Germany 47 5.2k 0.9× 1.7k 0.6× 1.4k 0.7× 1.1k 1.0× 357 0.4× 124 7.5k
Dima Kozakov United States 44 7.7k 1.3× 1.0k 0.4× 1.2k 0.7× 785 0.7× 592 0.6× 129 10.1k
Markus G. Grütter Switzerland 59 7.8k 1.3× 2.2k 0.8× 1.0k 0.6× 1.6k 1.5× 499 0.5× 168 11.3k
H. Mario Geysen Australia 41 3.6k 0.6× 1.5k 0.6× 2.5k 1.4× 304 0.3× 598 0.6× 87 7.1k
Roman Jerala Slovenia 51 5.3k 0.9× 2.6k 1.0× 339 0.2× 601 0.6× 569 0.6× 247 9.4k
Dmitri Beglov United States 30 5.1k 0.9× 752 0.3× 877 0.5× 557 0.5× 460 0.5× 51 6.9k
Brian F. Tack United States 54 4.1k 0.7× 4.2k 1.5× 944 0.5× 491 0.5× 399 0.4× 93 8.9k
James C. Powers United States 54 5.7k 1.0× 1.5k 0.6× 359 0.2× 2.6k 2.5× 2.2k 2.3× 197 10.8k
Paul A. Ramsland Australia 36 2.3k 0.4× 1.2k 0.4× 1.1k 0.6× 218 0.2× 408 0.4× 146 4.3k
Pierre Tufféry France 37 5.8k 1.0× 577 0.2× 610 0.3× 393 0.4× 352 0.4× 113 7.5k

Countries citing papers authored by Clemencia Pinilla

Since Specialization
Citations

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

Fields of papers citing papers by Clemencia Pinilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clemencia Pinilla

This figure shows the co-authorship network connecting the top 25 collaborators of Clemencia Pinilla. A scholar is included among the top collaborators of Clemencia Pinilla 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 Clemencia Pinilla. Clemencia Pinilla 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.
Pinilla, Clemencia, Marc A. Giulianotti, Prem P. Chapagain, et al.. (2023). Restoring susceptibility to aminoglycosides: identifying small molecule inhibitors of enzymatic inactivation. RSC Medicinal Chemistry. 14(9). 1591–1602. 8 indexed citations
2.
Ericson, Mark D., Katie T. Freeman, Radleigh G. Santos, et al.. (2023). The Parallel Structure–Activity Relationship Screening of Three Compounds Identifies the Common Agonist Pharmacophore of Pyrrolidine Bis-Cyclic Guanidine Melanocortin-3 Receptor (MC3R) Small-Molecule Ligands. International Journal of Molecular Sciences. 24(12). 10145–10145. 2 indexed citations
3.
Falta, Michael T., Jeremy Chase Crawford, Laurie G. Landry, et al.. (2021). Beryllium-specific CD4+ T cells induced by chemokine neoantigens perpetuate inflammation. Journal of Clinical Investigation. 131(9). 11 indexed citations
4.
5.
Dyjack, Nathan, S. Harsha Krovi, Cydney Rios, et al.. (2021). Single cell analysis of host response to helminth infection reveals the clonal breadth, heterogeneity, and tissue-specific programming of the responding CD4+ T cell repertoire. PLoS Pathogens. 17(6). e1009602–e1009602. 9 indexed citations
6.
Ravindran, Avinash, Radleigh G. Santos, Lan Chen, et al.. (2021). CD4+ T cells in the lungs of acute sarcoidosis patients recognize an Aspergillus nidulans epitope. The Journal of Experimental Medicine. 218(10). 32 indexed citations
7.
Ramírez, María Soledad, Prem P. Chapagain, Radleigh G. Santos, et al.. (2021). Inhibition of Aminoglycoside 6′-N-acetyltransferase Type Ib (AAC(6′)-Ib): Structure–Activity Relationship of Substituted Pyrrolidine Pentamine Derivatives as Inhibitors. Biomedicines. 9(9). 1218–1218. 3 indexed citations
8.
Planas, Raquel, Radleigh G. Santos, Carolina Cruciani, et al.. (2018). GDP- l -fucose synthase is a CD4 + T cell–specific autoantigen in DRB3*02:02 patients with multiple sclerosis. Science Translational Medicine. 10(462). 64 indexed citations
9.
Longhi, Silvia A., M. Paola Zago, Radleigh G. Santos, et al.. (2017). Methodological approach to the ex vivo expansion and detection of T. cruzi-specific T cells from chronic Chagas disease patients. PLoS ONE. 12(5). e0178380–e0178380. 11 indexed citations
10.
Falta, Michael T., Clemencia Pinilla, Douglas G. Mack, et al.. (2013). Identification of beryllium-dependent peptides recognized by CD4+ T cells in chronic beryllium disease. The Journal of Experimental Medicine. 210(7). 1403–1418. 49 indexed citations
11.
Hammarlund, Erika, et al.. (2008). Monkeypox virus evades antiviral CD4 + and CD8 + T cell responses by suppressing cognate T cell activation. Proceedings of the National Academy of Sciences. 105(38). 14567–14572. 121 indexed citations
12.
Martínez‐Mayorga, Karina, José L. Medina‐Franco, Marc A. Giulianotti, et al.. (2008). Conformation-opioid activity relationships of bicyclic guanidines from 3D similarity analysis. Bioorganic & Medicinal Chemistry. 16(11). 5932–5938. 16 indexed citations
13.
Lünemann, Jan D., Hans Gelderblom, Mireia Sospedra, et al.. (2006). Cerebrospinal Fluid-Infiltrating CD4 + T Cells Recognize Borrelia burgdorferi Lysine-Enriched Protein Domains and Central Nervous System Autoantigens in Early Lyme Encephalitis. Infection and Immunity. 75(1). 243–251. 18 indexed citations
14.
Lustgarten, Joseph, Ana Lucía Dominguez, & Clemencia Pinilla. (2006). Identification of Cross-Reactive Peptides Using Combinatorial Libraries Circumvents Tolerance against Her-2/neu-Immunodominant Epitope. The Journal of Immunology. 176(3). 1796–1805. 20 indexed citations
15.
Sospedra, Mireia, Paolo A. Muraro, Irena Štefanová, et al.. (2006). Redundancy in Antigen-Presenting Function of the HLA-DR and -DQ Molecules in the Multiple Sclerosis-Associated HLA-DR2 Haplotype. The Journal of Immunology. 176(3). 1951–1961. 44 indexed citations
16.
You, Sylvaine, Wen‐Hwa Lee, Chunhua Wu, et al.. (2003). Detection and Characterization of T Cells Specific for BDC2.5 T Cell-Stimulating Peptides. The Journal of Immunology. 170(8). 4011–4020. 46 indexed citations
17.
Rubio‐Godoy, Verena, Valérie Dutoit, Yingdong Zhao, et al.. (2002). Positional Scanning-Synthetic Peptide Library-Based Analysis of Self- and Pathogen-Derived Peptide Cross-Reactivity with Tumor-Reactive Melan-A-Specific CTL. The Journal of Immunology. 169(10). 5696–5707. 51 indexed citations
18.
Zhao, Yingdong, Bruno Gran, Clemencia Pinilla, et al.. (2001). Combinatorial Peptide Libraries and Biometric Score Matrices Permit the Quantitative Analysis of Specific and Degenerate Interactions Between Clonotypic TCR and MHC Peptide Ligands. The Journal of Immunology. 167(4). 2130–2141. 79 indexed citations
19.
20.
Hemmer, Bernhard, Clemencia Pinilla, Bruno Gran, et al.. (2000). Contribution of Individual Amino Acids Within MHC Molecule or Antigenic Peptide to TCR Ligand Potency. The Journal of Immunology. 164(2). 861–871. 51 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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