Y. Pachéco

3.2k citations
82 papers · 2.1k indexed · 1 hit paper · h-index 22

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Viral Infections and Vectors
    • SARS-CoV-2 and COVID-19 Research

Papers in

Y. Pachéco

79 papers receiving 2.0k citations

Hit Papers

Molecular mimicry and autoimmunity 2018 · 380 citations
3802018202620202023100200300

Peers

Y. Pachéco
Comparison fields: 5 of 119
  • Immunology 682
  • Infectious Diseases 490
  • Physiology 383
  • Immunology and Allergy 83
  • Rheumatology 190
Replace R Miniero with:
R Miniero Italy
Necil Kütükçüler Türkiye
P Roux‐Lombard Switzerland
Richard Hong United States
Sara E. Marshall United Kingdom
Darragh Duffy France
Moise L. Levy United States
Nicodemus Tedla Australia
Mirjana Hahn‐Zoric Sweden
J. Swanson Beck United Kingdom
Y. Pachéco relative to R Miniero Italy R Miniero's profile →
Citations per field
00.5×4.2×
R Miniero · 1×
Citations per year

Countries citing papers authored by Y. Pachéco

Since Specialization
Citations

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

Fields of papers citing papers by Y. Pachéco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Y. Pachéco, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Y. Pachéco Line = papers co-authored together Y. Pachéco links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202011
2 201924
3 2018111
4 201820
5
Molecular mimicry and autoimmunity
Hit paper breakdown →
2018380
6 201846
7 201832
8 201748
9 2017144
10 20162
11 20131
12 20113
13 20111
14 201012
15 200540
16 200213
17 19965
18 19961
19 199310
20 19904

About Y. Pachéco

Y. Pachéco is a scholar working on Immunology and Allergy, Physiology, Immunology, Pulmonary and Respiratory Medicine and Virology, having authored 82 papers that have together received 2.1k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (19 papers), Respiratory and Cough-Related Research (9 papers), Sarcoidosis and Beryllium Toxicity Research (8 papers), Allergic Rhinitis and Sensitization (7 papers), Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (7 papers), Immune Response and Inflammation (6 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers). The work is most often cited by research in Immunology (682 citations), Infectious Diseases (490 citations), Physiology (383 citations), Immunology and Allergy (83 citations) and Rheumatology (190 citations). Y. Pachéco has collaborated with scholars based in France, Colombia and United States. Frequent co-authors include Diana M. Monsalve, Juan‐Manuel Anaya, Yeny Acosta‐Ampudia, Carolina Ramı́rez-Santana, Manuel Rojas, M. Eric Gershwin, Yhojan Rodríguez, Aftab A. Ansari, Christopher Chang and Paula Restrepo-Jiménez. Their work appears in journals such as Journal of Autoimmunity, European Journal of Clinical Investigation, European Respiratory Journal, Clinical & Experimental Allergy and Allergy.

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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