Jennifer Shum

1.0k citations
16 papers · 573 indexed · h-index 10
Topics
Glaucoma and retinal disorders (4 papers)Neural dynamics and brain function (3 papers)Neurobiology and Insect Physiology Research (3 papers)

In The Last Decade

Jennifer Shum

16 papers receiving 561 citations

Peers

Jennifer Shum
Comparison fields: 5 of 88
  • Cognitive Neuroscience 259
  • Cellular and Molecular Neuroscience 170
  • Statistics and Probability 104
  • Radiology, Nuclear Medicine and Imaging 80
  • Ophthalmology 76
Replace Timothy J. Burbridge with:
Timothy J. Burbridge United States
Keith A. Schneider United States
Neville Drasdo United Kingdom
Hiromasa Sawamura Japan
Miriam D. Reid United States
Heidi A. Baseler United Kingdom
François Vital‐Durand France
Claire V. Hutchinson United Kingdom
Ben M. Harvey Netherlands
Jonathan Leicester Australia
Jennifer Shum relative to Timothy J. Burbridge United States Timothy J. Burbridge's profile →
Citations per field
00.5×4.4×
Timothy J. Burbridge · 1×
Citations per year

Countries citing papers authored by Jennifer Shum

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Shum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Shum

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Shum. A scholar is included among the top collaborators of Jennifer Shum 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 Shum. Jennifer Shum 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
#WorkIndexed citations
1 1
2 1
3 34
4 7
5 16
6 63
7 10
8 5
9 19
10 52
11 2
12 7
13 168
14 97
15 13
16 78

About Jennifer Shum

Jennifer Shum is a scholar working on Ophthalmology, Sensory Systems and Cognitive Neuroscience, having authored 16 papers that have together received 573 indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (4 papers), Neural dynamics and brain function (3 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Cognitive Neuroscience (259 citations), Statistics and Probability (104 citations) and Sensory Systems (53 citations). Jennifer Shum has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Rainer W. Friedrich, Yanping Zhang, Peixin Zhu, Jonathan Winawer, Mohammad Dastjerdi, Dora Hermes, Brett L. Foster, Vinitha Rangarajan, Kai J. Miller and Josef Parvizi. Their work appears in journals such as Nature, Journal of Neuroscience and Neurology.

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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