Fernando Cardozo‐Pelaez

4.5k citations
35 papers · 3.6k indexed · 1 hit paper · h-index 21
Topics
DNA Repair Mechanisms (14 papers)Carcinogens and Genotoxicity Assessment (9 papers)Trace Elements in Health (6 papers)
Partner nations
United StatesPolandJapan

In The Last Decade

Fernando Cardozo‐Pelaez

35 papers receiving 3.5k citations

Hit Papers

Adult Bone Marrow Stromal Cells Differentiate into Neural...200020262008201720004008001.2k

Peers

Fernando Cardozo‐Pelaez
Comparison fields: 5 of 121
  • Molecular Biology 1.7k
  • Genetics 1.1k
  • Developmental Neuroscience 685
  • Cellular and Molecular Neuroscience 616
  • Physiology 555
Replace Shijie Song with:
Shijie Song United States
Jeffrey L. Elliott United States
Thomas Skutella Germany
Brigitte van Zundert Chile
Andrew G. Reaume United States
Jasna Križ Canada
Francisco J. Rivera Austria
J. Regino Perez‐Polo United States
Katja M. Kanninen Finland
Mariana Pehar United States
Fernando Cardozo‐Pelaez relative to Shijie Song United States Shijie Song's profile →
Citations per field
00.5×1.5×
Shijie Song · 1×
Citations per year

Countries citing papers authored by Fernando Cardozo‐Pelaez

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Cardozo‐Pelaez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Cardozo‐Pelaez

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Cardozo‐Pelaez. A scholar is included among the top collaborators of Fernando Cardozo‐Pelaez 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 Cardozo‐Pelaez. Fernando Cardozo‐Pelaez 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
#WorkIndexed citations
1 1
2 11
3 135
4 35
5 44
6 8
7 4
8 272
9 85
10 357
11 28
12 40
13 20
14 296
15 7
16 19
17 173
18 21
19 103
20 36

About Fernando Cardozo‐Pelaez

Fernando Cardozo‐Pelaez is a scholar working on Developmental Neuroscience, Cancer Research and Nutrition and Dietetics, having authored 35 papers that have together received 3.6k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (14 papers), Carcinogens and Genotoxicity Assessment (9 papers) and Trace Elements in Health (6 papers). The work is most often cited by research in Developmental Neuroscience (685 citations), Genetics (1.1k citations) and Aging (65 citations). Fernando Cardozo‐Pelaez has collaborated with scholars based in United States, Poland and Japan. Frequent co-authors include Juan Sanchez‐Ramos, Shijie Song, Todd Stedeford, Debomoy K. Lahiri, Nasser H. Zawia, Alison E. Willing, Paul R. Sanberg, Samuel Saporta, Thomas B. Freeman and William E. Janssen. Their work appears in journals such as Neuron, Journal of Neuroscience and The FASEB Journal.

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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