Michelle Illing

2.0k citations
10 papers · 1.6k · h-index 9

Impact in

Papers in

    • Retinal Development and Disorders 7
    • Glycosylation and Glycoproteins Research 1
    • Enzyme Catalysis and Immobilization 1
    • Photoreceptor and optogenetics research 3
    • Genetic Neurodegenerative Diseases 2
    • Neuroscience and Neural Engineering 1

Michelle Illing

10 papers receiving 1.5k citations

Peers

Michelle Illing
Comparison fields: 5 of 73
  • Cellular and Molecular Neuroscience 691
  • Ophthalmology 210
  • Sensory Systems 92
  • Molecular Biology 1.3k
  • Cell Biology 266
Replace Anuradha Dhingra with:
Anuradha Dhingra United States
Christian P. Hamel France
Alexander V. Kolesnikov United States
Irina Surgucheva United States
Ronald E. Hurd United States
M. Dominik Fischer Germany
Pamela S. Lagali Canada
Gregory G. Garwin United States
Roxana A. Radu United States
Cathy Bowes United States
Michelle Illing relative to Anuradha Dhingra United States Anuradha Dhingra's profile →
Citations per field
00.5×1.5×2.1×
Anuradha Dhingra · 1×
Citations per year

Countries citing papers authored by Michelle Illing

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Illing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michelle Illing, 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 Michelle Illing Line = papers co-authored together Michelle Illing links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2002265
2 1997257
3 1995204
4 2001185
5 1993176
6 2002170
7 1994128
8 199185
9 199882
10 19877

About Michelle Illing

Michelle Illing is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Ophthalmology and Biotechnology, having authored 10 papers that have together received 1.6k indexed citations. Recurring topics across this work include Retinal Development and Disorders (7 papers), Cellular transport and secretion (4 papers), Photoreceptor and optogenetics research (3 papers), Genetic Neurodegenerative Diseases (2 papers), Neuroscience and Neural Engineering (1 paper), Retinal Diseases and Treatments (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Enzyme Catalysis and Immobilization (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (691 citations), Ophthalmology (210 citations), Sensory Systems (92 citations), Molecular Biology (1.3k citations) and Cell Biology (266 citations). Michelle Illing has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Robert S. Molday, Ron R. Kopito, Laurie L. Molday, Rahul S. Rajan, Neil Bence, Jennifer Johnston, Andrea C. Dosé, U. Benjamin Kaupp, Frank Müller and Wolfgang Bönigk. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Neuron, Biochemistry and Cell Biology and Human Genetics.

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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