Jennifer Fedor

1.7k total citations · 1 hit paper
15 papers, 162 citations indexed

About

Jennifer Fedor is a scholar working on Oncology, Sociology and Political Science and Cognitive Neuroscience. According to data from OpenAlex, Jennifer Fedor has authored 15 papers receiving a total of 162 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Sociology and Political Science and 4 papers in Cognitive Neuroscience. Recurrent topics in Jennifer Fedor's work include Cancer survivorship and care (6 papers), Face Recognition and Perception (3 papers) and Child Development and Digital Technology (3 papers). Jennifer Fedor is often cited by papers focused on Cancer survivorship and care (6 papers), Face Recognition and Perception (3 papers) and Child Development and Digital Technology (3 papers). Jennifer Fedor collaborates with scholars based in United States and Canada. Jennifer Fedor's co-authors include Will Foran, Finnegan J. Calabro, Beatriz Luna, Ashley C. Parr, Brenden Tervo‐Clemmens, Kirsten O’Hearn, Andrew Lynn, Beatríz Luna, James W. Tanaka and Carissa A. Low and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Jennifer Fedor

10 papers receiving 161 citations

Hit Papers

A canonical trajectory of executive function maturation f... 2023 2026 2024 2025 2023 25 50 75

Peers

Jennifer Fedor
Comparison fields: 5 of 56
  • Cognitive Neuroscience 96
  • Clinical Psychology 38
  • Experimental and Cognitive Psychology 31
  • Psychiatry and Mental health 23
  • Education 14
Replace Berkan Şahin with:
Berkan Şahin Türkiye
Marcio Soto‐Añari Peru
Biyuan Chen China
Tokiko Yoshida Japan
Thomas Zhou United States
M Martinelli United States
Cáit Griffin United Kingdom
Roberto Averna Italy
Johanna Weiske Germany
Gaia Romana Pellicano Italy
Berkan Şahin Türkiye View profile →
Citations per field, relative to Jennifer Fedor
Jennifer Fedor · 1×
Citations per year, relative to Jennifer Fedor
Jennifer Fedor · 1×

Countries citing papers authored by Jennifer Fedor

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Fedor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Fedor

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 2
5 2
6 0
7 3
8 1
9 2
10 0
11 9
12
A canonical trajectory of executive function maturation from adolescence to adulthood breakdown →
79
13 16
14 28
15 20

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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