Jennifer K. Ness

593 citations
10 papers · 473 indexed · h-index 10
Topics
Neurogenesis and neuroplasticity mechanisms (5 papers)Neonatal and fetal brain pathology (2 papers)Cancer-related molecular mechanisms research (2 papers)
Partner nations
United StatesEgypt

In The Last Decade

Jennifer K. Ness

10 papers receiving 466 citations

Peers

Jennifer K. Ness
Comparison fields: 5 of 62
  • Developmental Neuroscience 189
  • Molecular Biology 159
  • Cellular and Molecular Neuroscience 118
  • Pediatrics, Perinatology and Child Health 113
  • Neurology 95
Replace A Barrès with:
A Barrès France
Amber N. Ziegler United States
Jihui Zhang China
Alexandre I. Danilov Sweden
Vanessa Donega Netherlands
Mitsuhiro Otani Japan
Pundit Asavaritikrai Thailand
Cecilia B. Marta Argentina
Noritaka Aihara Japan
Terra J. Frederick United States
Jennifer K. Ness relative to A Barrès France A Barrès's profile →
Citations per field
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A Barrès · 1×
Citations per year

Countries citing papers authored by Jennifer K. Ness

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer K. Ness

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer K. Ness

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 57
2 30
3 9
4 13
5 28
6 27
7 66
8 82
9 48
10 113

About Jennifer K. Ness

Jennifer K. Ness is a scholar working on Developmental Neuroscience, Cancer Research and Genetics, having authored 10 papers that have together received 473 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (5 papers), Neonatal and fetal brain pathology (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Developmental Neuroscience (189 citations), Neurology (95 citations) and Cellular and Molecular Neuroscience (118 citations). Jennifer K. Ness has collaborated with scholars based in United States and Egypt. Frequent co-authors include Teresa L. Wood, Steven W. Levison, Michael J. Romanko, Nikos Tapinos, Raymond Rothstein, Russell C. Scaduto, Kristin M. Snyder, Phillip J. Albrecht, Jeffrey M. Redwine and Regina C. Armstrong. Their work appears in journals such as Nature Communications, Oncogene and Spine.

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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