Javier Padilla

1.0k citations
56 papers · 803 · h-index 17

Impact in

Papers in

Javier Padilla

53 papers receiving 795 citations

Peers

Javier Padilla
Comparison fields: 5 of 95
  • Polymers and Plastics 516
  • Bioengineering 109
  • Complementary and alternative medicine 51
  • Electrical and Electronic Engineering 332
  • Electrochemistry 27
Replace Tae–Un Kim with:
Tae–Un Kim South Korea
Qian Shen China
Lianyong Su China
Luxia Jiang China
Khalid E. Alzahrani Saudi Arabia
Manish Kumar Singh India
Chris M. Evans United States
Ana Crespo Spain
Gautam Naik United States
Neha D. Desai India
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Citations per field
00.5×12.3×
Tae–Un Kim · 1×
Citations per year

Countries citing papers authored by Javier Padilla

Since Specialization
Citations

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

Fields of papers citing papers by Javier Padilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201878
2 200161
3 201559
4 200746
5 200346
6 200746
7 201939
8 200737
9 200734
10 201531
11 200729
12 201125
13 201722
14 202221
15 200819
16 201618
17 201118
18 202316
19 201616
20 200914

About Javier Padilla

Javier Padilla is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering, Bioengineering, Atomic and Molecular Physics, and Optics and Epidemiology, having authored 56 papers that have together received 803 indexed citations. Recurring topics across this work include Conducting polymers and applications (25 papers), Transition Metal Oxide Nanomaterials (19 papers), Analytical Chemistry and Sensors (12 papers), Organic Electronics and Photovoltaics (6 papers), Perovskite Materials and Applications (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Photovoltaic Systems and Sustainability (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Polymers and Plastics (516 citations), Bioengineering (109 citations), Complementary and alternative medicine (51 citations), Electrical and Electronic Engineering (332 citations) and Electrochemistry (27 citations). Javier Padilla has collaborated with scholars based in Spain, United States and Mexico. Frequent co-authors include Toribio F. Otero, Gregory A. Sotzing, Venkataramanan Seshadri, John R. Reynolds, Anna M. Österholm, J.-A. Abad, Aubrey L. Dyer, Antonio Urbina, D. Eric Shen and John M. Kowalchuk. Their work appears in journals such as Solar Energy Materials and Solar Cells, Electrochemistry Communications, International Journal of Molecular Sciences, Energies and Journal of Electroanalytical Chemistry.

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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