Ivan Pacheco

670 citations
27 papers · 534 · h-index 10

Impact in

Papers in

    • Nanoparticles: synthesis and applications 9
    • Carbon Nanotubes in Composites 3
    • Graphene research and applications 2
    • Boron and Carbon Nanomaterials Research 2
    • Heavy metals in environment 3
    • Microplastics and Plastic Pollution 3

Ivan Pacheco

25 papers receiving 520 citations

Peers

Ivan Pacheco
Comparison fields: 5 of 111
  • Nephrology 44
  • Endocrine and Autonomic Systems 22
  • Rheumatology 45
  • Molecular Biology 191
  • Nutrition and Dietetics 39
Replace Zhihong Zhang with:
Zhihong Zhang China
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María Silvina Molinuevo Argentina
Jean‐Louis Bergé‐Lefranc France
Tingting Xiong China
Zhiwei Tao China
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Ivan Pacheco

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Pacheco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007126
2 200867
3 201660
4 200649
5 201135
6 200734
7 201733
8 201926
9 201823
10 200819
11 20009
12 20179
13 20045
14 20125
15 20215
16 20205
17 20185
18 20204
19 20194
20 20233

About Ivan Pacheco

Ivan Pacheco is a scholar working on Materials Chemistry, Pollution, Surgery, Molecular Biology and Biomedical Engineering, having authored 27 papers that have together received 534 indexed citations. Recurring topics across this work include Nanoparticles: synthesis and applications (9 papers), Heavy metals in environment (3 papers), Microplastics and Plastic Pollution (3 papers), Carbon Nanotubes in Composites (3 papers), Gold and Silver Nanoparticles Synthesis and Applications (2 papers), Graphene research and applications (2 papers), Laser-Ablation Synthesis of Nanoparticles (2 papers) and Boron and Carbon Nanomaterials Research (2 papers). The work is most often cited by research in Nephrology (44 citations), Endocrine and Autonomic Systems (22 citations), Rheumatology (45 citations), Molecular Biology (191 citations) and Nutrition and Dietetics (39 citations). Ivan Pacheco has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Cristina Buzea, John Macleod, Madeline N. Hayes, Daniel J. Mulder, Victor A. Tron, L.D.C. Peiris, David Hurlbut, C Justinich, Glenn T. Furuta and Michael G. Blennerhassett. Their work appears in journals such as American Journal of Physiology-Gastrointestinal and Liver Physiology, Digestive Diseases and Sciences, Bone, Gastroenterology and Blood.

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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