Fernando Padilla

460 total citations
16 papers, 232 citations indexed

About

Fernando Padilla is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Fernando Padilla has authored 16 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Oncology and 3 papers in Organic Chemistry. Recurrent topics in Fernando Padilla's work include Chemical Synthesis and Analysis (2 papers), Quinazolinone synthesis and applications (2 papers) and Adenosine and Purinergic Signaling (2 papers). Fernando Padilla is often cited by papers focused on Chemical Synthesis and Analysis (2 papers), Quinazolinone synthesis and applications (2 papers) and Adenosine and Purinergic Signaling (2 papers). Fernando Padilla collaborates with scholars based in United States, Chile and Mexico. Fernando Padilla's co-authors include Jaime San Martı́n, Jacques Demongeot, Loïc Forest, James O. Alben, Bernadine Brimhall, Richard T. Jones, Philip A. Bromberg, Salomé Martínez, Cheng Liao and Andrea Townsend‐Nicholson and has published in prestigious journals such as Journal of Biological Chemistry, Cancer and Journal of Medicinal Chemistry.

In The Last Decade

Fernando Padilla

16 papers receiving 216 citations

Peers

Fernando Padilla
Comparison fields: 5 of 73
  • Molecular Biology 62
  • Cell Biology 43
  • Oncology 38
  • Organic Chemistry 37
  • Physiology 34
Replace Michelle Newman with:
Michelle Newman Australia
Noriaki Minami Japan
Ellyn Farrelly United States
Sharmistha Mitra United States
Yunzhang Liu China
Noel T. Florendo United States
Hirofumi Kodera Japan
Eriko Ohnishi Japan
Michelle M.M. Woo Canada
Karthikeyan Radhakrishnan Germany
Michelle Newman Australia View profile →
Citations per field, relative to Fernando Padilla
Fernando Padilla · 1×
Citations per year, relative to Fernando Padilla
Fernando Padilla · 1×

Countries citing papers authored by Fernando Padilla

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Padilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Padilla

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Padilla. A scholar is included among the top collaborators of Fernando Padilla 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 Fernando Padilla. Fernando Padilla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 6
2 1
3 2
4 2
5 39
6 8
7 11
8 2
9 23
10 26
11 22
12 5
13 16
14 25
15 41
16 3

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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