Armando Pacheco

1.8k citations
14 papers · 1.6k · h-index 13

Impact in

  • Biochemistry top 0.1%
    • Sulfur Compounds in Biology
    • Eicosanoids and Hypertension Pharmacology
    • Molecular Sensors and Ion Detection

Papers in

Armando Pacheco

13 papers receiving 1.6k citations

Peers

Armando Pacheco
Comparison fields: 5 of 86
  • Biochemistry 1.3k
  • Spectroscopy 543
  • Endocrine and Autonomic Systems 201
  • Process Chemistry and Technology 49
  • Physiology 49
Replace Chung‐Min Park with:
Chung‐Min Park United States
Hanjing Peng United States
Matthew M. Cerda United States
Dominique Padovani France
Jacob J. Day United States
Yoko Takano Japan
Chadwick R. Powell United States
Samantha J. Carrington United States
Kearsley M. Dillon United States
Armando Pacheco relative to Chung‐Min Park United States Chung‐Min Park's profile →
Citations per field
00.5×1.5×1.9×
Chung‐Min Park · 1×
Citations per year

Countries citing papers authored by Armando Pacheco

Since Specialization
Citations

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

Fields of papers citing papers by Armando Pacheco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Armando Pacheco, 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 Armando Pacheco Line = papers co-authored together Armando Pacheco links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2016270
2 2016238
3 2013212
4 2013199
5 2015178
6 2013147
7 201580
8 201359
9 201659
10 201548
11 201547
12 201635
13 201523
14 20200

About Armando Pacheco

Armando Pacheco is a scholar working on Biochemistry, Organic Chemistry, Spectroscopy, Molecular Biology and Endocrine and Autonomic Systems, having authored 14 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sulfur Compounds in Biology (13 papers), Sulfur-Based Synthesis Techniques (6 papers), Molecular Sensors and Ion Detection (5 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Mast cells and histamine (2 papers), Neuroscience of respiration and sleep (2 papers), Renin-Angiotensin System Studies (1 paper) and Asthma and respiratory diseases (1 paper). The work is most often cited by research in Biochemistry (1.3k citations), Spectroscopy (543 citations), Endocrine and Autonomic Systems (201 citations), Process Chemistry and Technology (49 citations) and Physiology (49 citations). Armando Pacheco has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Ming Xian, Wei Chen, Yu Zhao, Bo Peng, Chunrong Liu, Ethan W. Rosser, Jacob J. Day, Chuntao Yang, David J. Lefer and Yoko Takano. Their work appears in journals such as ACS Chemical Biology, Angewandte Chemie International Edition, Journal of the American Chemical Society, Chemical Science and Organic Letters.

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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