Felipe Padilla‐Vaca

1.0k total citations
57 papers, 767 citations indexed

About

Felipe Padilla‐Vaca is a scholar working on Infectious Diseases, Molecular Biology and Surgery. According to data from OpenAlex, Felipe Padilla‐Vaca has authored 57 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Infectious Diseases, 18 papers in Molecular Biology and 12 papers in Surgery. Recurrent topics in Felipe Padilla‐Vaca's work include Amoebic Infections and Treatments (18 papers), Parasitic Infections and Diagnostics (12 papers) and Pancreatitis Pathology and Treatment (6 papers). Felipe Padilla‐Vaca is often cited by papers focused on Amoebic Infections and Treatments (18 papers), Parasitic Infections and Diagnostics (12 papers) and Pancreatitis Pathology and Treatment (6 papers). Felipe Padilla‐Vaca collaborates with scholars based in Mexico, Israel and Japan. Felipe Padilla‐Vaca's co-authors include David Mirelman, Serge Ankri, Fernando Anaya-Velázquez, Rivka Bracha, Tamara Stolarsky, Bernardo Franco, Beatriz Liliana España‐Sánchez, Uriel Katz, Gabriel Luna‐Bárcenas and E. Prokhorov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and Molecular Microbiology.

In The Last Decade

Felipe Padilla‐Vaca

51 papers receiving 753 citations

Peers

Felipe Padilla‐Vaca
Comparison fields: 5 of 107
  • Infectious Diseases 336
  • Parasitology 248
  • Surgery 216
  • Molecular Biology 129
  • Organic Chemistry 93
Replace Weng Kin Wong with:
Weng Kin Wong Malaysia
Xuepeng Cai China
Xiao-Ming Cui China
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Reza Zolfaghari Emameh Iran
María L. Cuestas Argentina
Bruce L. Gibbins United States
Rosa María Ribas‐Aparicio Mexico
Sirenia González‐Pozos Mexico
Narendra Kumar Jain India
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Citations per field, relative to Felipe Padilla‐Vaca
Felipe Padilla‐Vaca · 1×
Citations per year, relative to Felipe Padilla‐Vaca
Felipe Padilla‐Vaca · 1×

Countries citing papers authored by Felipe Padilla‐Vaca

Since Specialization
Citations

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

Fields of papers citing papers by Felipe Padilla‐Vaca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felipe Padilla‐Vaca

This figure shows the co-authorship network connecting the top 25 collaborators of Felipe Padilla‐Vaca. A scholar is included among the top collaborators of Felipe Padilla‐Vaca 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 Felipe Padilla‐Vaca. Felipe Padilla‐Vaca 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
# Work Indexed citations
1 0
2 1
3 3
4 5
5 2
6 2
7 1
8 56
9 10
10 8
11 8
12 2
13 3
14 0
15 10
16
Nanocompuestos de polipropileno con nanopartículas de cobre: preparación, activación superficial por plasma y actividad antibacteriana
2
17 34
18 5
19 12
20 12

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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