Karen T. Chang

2.0k citations
35 papers · 1.5k indexed · h-index 23

Karen T. Chang

33 papers receiving 1.5k citations

Peers

Karen T. Chang
Comparison fields: 5 of 91
  • Ophthalmology 300
  • Aging 56
  • Cellular and Molecular Neuroscience 441
  • Geriatrics and Gerontology 53
  • Molecular Biology 887
Replace J. Fielding Hejtmancik with:
J. Fielding Hejtmancik United States
Narendrakumar Ramanan United States
Dana K. Vaughan United States
Francesca Mazzoni Italy
Eva Andrés‐Mateos United States
Michael Danciger United States
Caterina Sellitto United States
Yohei Ohashi Japan
T. van Veen Sweden
Xianrong Mao United States
Karen T. Chang relative to J. Fielding Hejtmancik United States J. Fielding Hejtmancik's profile →
Citations per field
00.5×1.6×
J. Fielding Hejtmancik · 1×
Citations per year

Countries citing papers authored by Karen T. Chang

Since Specialization
Citations

This map shows the geographic impact of Karen T. Chang'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 Karen T. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karen T. Chang more than expected).

Fields of papers citing papers by Karen T. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karen T. Chang. 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 Karen T. Chang. The network helps show where Karen T. Chang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Karen T. Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Karen T. Chang Line = papers co-authored together Karen T. Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20260
2 202410
3 20240
4 202127
5 202139
6 201916
7 201613
8 201625
9 201619
10 201511
11 201455
12 201312
13 201244
14 200924
15 200913
16 200950
17 200822
18 200894
19 200572
20 2001141

About Karen T. Chang

Karen T. Chang is a scholar working on Ophthalmology, Aging, Cell Biology, Cellular and Molecular Neuroscience and Geriatrics and Gerontology, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cellular transport and secretion (8 papers), Signaling Pathways in Disease (8 papers), Neuroscience and Neuropharmacology Research (6 papers), Retinal Diseases and Treatments (6 papers), Retinal Imaging and Analysis (5 papers), Mitochondrial Function and Pathology (4 papers), Alzheimer's disease research and treatments (4 papers) and Retinal and Optic Conditions (4 papers). The work is most often cited by research in Ophthalmology (300 citations), Aging (56 citations), Cellular and Molecular Neuroscience (441 citations), Geriatrics and Gerontology (53 citations) and Molecular Biology (887 citations). Karen T. Chang has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Kyung‐Tai Min, Darwin K. Berg, Robert F. Niescier, Darwin K. Berg, Sandra Liakopoulos, Pearse A. Keane, Srinivas R. Sadda, Alexander C. Walsh, Yijun Shi and Jillian L. Shaw. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience, The Journal of Cell Biology, PLoS Genetics and Nature Communications.

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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