Tye Deering

2.0k citations
34 papers · 1.6k · h-index 23

Impact in

    • Retinal Diseases and Treatments
  • Surgery top 5%
    • Pancreatic function and diabetes

Papers in

    • Sphingolipid Metabolism and Signaling 7
    • Retinal Development and Disorders 4
    • Lipid Membrane Structure and Behavior 4
    • Metabolism, Diabetes, and Cancer 3
    • Renal and related cancers 3
    • Pancreatic function and diabetes 14

Tye Deering

33 papers receiving 1.5k citations

Peers

Tye Deering
Comparison fields: 5 of 82
  • Ophthalmology 199
  • Surgery 616
  • Molecular Biology 812
  • Genetics 269
  • Cell Biology 142
Replace Claes Båvik with:
Claes Båvik United States
William Benedict United States
Jürgen Becker Germany
Jennifer A. Doll United States
S. Massoglia United States
Michael Fannon United States
V. Poulaki United States
Nobuaki Hiraoka Japan
Monireh Roghani United States
Hiroki Odagiri Japan
Tye Deering relative to Claes Båvik United States Claes Båvik's profile →
Citations per field
00.5×7.4×
Claes Båvik · 1×
Citations per year

Countries citing papers authored by Tye Deering

Since Specialization
Citations

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

Fields of papers citing papers by Tye Deering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009130
2 2018128
3 200897
4 201395
5 200785
6 200484
7 200383
8 201181
9 201080
10 201478
11 200373
12 201670
13 201161
14 201259
15 201251
16 201746
17 201639
18 201632
19 201331
20 200828

About Tye Deering

Tye Deering is a scholar working on Molecular Biology, Surgery, Genetics, Ophthalmology and Oncology, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (14 papers), Sphingolipid Metabolism and Signaling (7 papers), Retinal Diseases and Treatments (7 papers), Genetics and Neurodevelopmental Disorders (4 papers), Retinal Development and Disorders (4 papers), Lipid Membrane Structure and Behavior (4 papers), Metabolism, Diabetes, and Cancer (3 papers) and Renal and related cancers (3 papers). The work is most often cited by research in Ophthalmology (199 citations), Surgery (616 citations), Molecular Biology (812 citations), Genetics (269 citations) and Cell Biology (142 citations). Tye Deering has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Raymond J. MacDonald, Raghavendra G. Mirmira, Galvin H. Swift, Daniella A. Babu, Peter A. Campochiaro, Bernhard Maier, Chinh Q. Hoang, Anna M. Demetriades, Anthony P. Trace and Takeshi Ogihara. Their work appears in journals such as Molecular and Cellular Biology, Development, Gastroenterology, Investigative Ophthalmology & Visual Science and Journal of Lipid Research.

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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