Jennifer S. Lund

10.5k citations
57 papers · 8.2k indexed · 4 hit papers · h-index 42
Topics
Neural dynamics and brain function (35 papers)Visual perception and processing mechanisms (31 papers)Retinal Development and Disorders (20 papers)

In The Last Decade

Jennifer S. Lund

56 papers receiving 8.0k citations

Hit Papers

Compulsory averaging of crowded orientatio...19752026199220092001200219751983200400600

Peers

Jennifer S. Lund
Comparison fields: 5 of 144
  • Cognitive Neuroscience 6.0k
  • Cellular and Molecular Neuroscience 3.7k
  • Molecular Biology 1.9k
  • Infectious Diseases 496
  • Neurology 372
Replace Edward M. Callaway with:
Edward M. Callaway United States
Ulf T. Eysel Germany
H. Van der Loos Switzerland
Douglas S. Kim United States
Marcello G. P. Rosa Australia
Roberto Lent Brazil
Stephen W. Kuffler United States
Kevan A Martin Switzerland
Tetsuo Yamamori Japan
Loren M. Frank United States
Jennifer S. Lund relative to Edward M. Callaway United States Edward M. Callaway's profile →
Citations per field
00.5×4.3×
Edward M. Callaway · 1×
Citations per year

Countries citing papers authored by Jennifer S. Lund

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer S. Lund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer S. Lund

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer S. Lund. A scholar is included among the top collaborators of Jennifer S. Lund 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 S. Lund. Jennifer S. Lund 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
1 146
2 125
3 19
4
Application of Blind Separation of Sources to Optical Recording of Brain Activity
2
5 425
6 154
7 26
8 164
9 430
10 136
11 2
12 181
13 48
14 41
15 51
16 14
17 63
18 6
19 109
20 256

About Jennifer S. Lund

Jennifer S. Lund is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Ophthalmology, having authored 57 papers that have together received 8.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (35 papers), Visual perception and processing mechanisms (31 papers) and Retinal Development and Disorders (20 papers). The work is most often cited by research in Cognitive Neuroscience (6.0k citations), Cellular and Molecular Neuroscience (3.7k citations) and Developmental Neuroscience (333 citations). Jennifer S. Lund has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Jonathan B. Levitt, Raymond D. Lund, Kathleen S. Rockland, Takashi Yoshioka, Alessandra Angelucci, David A. Lewis, Ann H. Bunt, Laura M. Parkes, J. A. Solomon and Michael J. Morgan. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

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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