Jon E. Chatterton

2.5k citations
25 papers · 2.0k indexed · 1 hit paper · h-index 17

Impact in

Papers in

Jon E. Chatterton

25 papers receiving 1.9k citations

Hit Papers

Excitatory glycine receptors containing the NR3 family of NMDA receptor subunits 2002 · 520 citations
5202002202620102018100200300400500

Peers

Jon E. Chatterton
Comparison fields: 5 of 93
  • Cellular and Molecular Neuroscience 531
  • Endocrinology, Diabetes and Metabolism 371
  • Biochemistry 159
  • Cell Biology 314
  • Molecular Biology 1.0k
Replace Christian Vannier with:
Christian Vannier France
Dorothea Rudolph Austria
Tarun B. Patel United States
Lucien Pradayrol France
Yoshikazu Shibasaki Japan
Keyong Du United States
Chris N. Goulbourne United States
Shun‐ichiro Matsumoto Japan
Hiroyuki Yamazaki Japan
Ian H. Batty United Kingdom
Jon E. Chatterton relative to Christian Vannier France Christian Vannier's profile →
Citations per field
00.5×1.5×2.1×
Christian Vannier · 1×
Citations per year

Countries citing papers authored by Jon E. Chatterton

Since Specialization
Citations

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

Fields of papers citing papers by Jon E. Chatterton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon E. Chatterton. 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 Jon E. Chatterton. The network helps show where Jon E. Chatterton may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Excitatory glycine receptors containing the NR3 family of NMDA receptor subunits
Hit paper breakdown →
2002520
2 2002222
3 1988218
4 1995165
5 1992125
6 1994113
7 199676
8 199574
9 201368
10 199157
11 200457
12 199950
13 200446
14 200644
15 200624
16 200721
17 200617
18 199516
19 200614
20 201014

About Jon E. Chatterton

Jon E. Chatterton is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Virology and Cancer Research, having authored 25 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (6 papers), Advanced biosensing and bioanalysis techniques (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), RNA and protein synthesis mechanisms (3 papers), Virus-based gene therapy research (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (531 citations), Endocrinology, Diabetes and Metabolism (371 citations), Biochemistry (159 citations), Cell Biology (314 citations) and Molecular Biology (1.0k citations). Jon E. Chatterton has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Verne N. Schumaker, Martin L. Phillips, John Elovson, Dongxian Zhang, Stuart A. Lipton, Monty Krieger, Marc Awobuluyi, Nobuki Nakanishi, Gang Tong and Kevin A. Sevarino. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, Experimental Cell Research, The Journal of Cell Biology and Proceedings of the National Academy of Sciences.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026