John D. Graef

994 citations
16 papers · 676 · 1 hit paper · h-index 12

Impact in

Papers in

John D. Graef

16 papers receiving 662 citations

John D. Graef's Hit Papers

Rescue of Fragile X Syndrome Neurons by DNA Methylation Editing of the FMR1 Gene 2018 · 363 citations
3630+2+5Years since publication100200300

Peers

John D. Graef
Comparison fields: 5 of 81
  • Aging 21
  • Cellular and Molecular Neuroscience 185
  • Genetics 187
  • Biological Psychiatry 15
  • Molecular Biology 436
Replace Katherine E. Savell with:
Katherine E. Savell United States
Marine Krzisch United States
Carola I. Radulescu United Kingdom
Tian‐Lin Cheng China
Subhrangshu Guhathakurta United States
Ravi Muddashetty India
Hendrik Luuk Estonia
Caroline Hookway United States
Asami Oguro‐Ando Japan
Zhuchi Tu China
John D. Graef relative to Katherine E. Savell United States Katherine E. Savell's profile →
Citations per field
00.5×10×
Katherine E. Savell · 1×
Citations per year

Countries citing papers authored by John D. Graef

Since Specialization
Citations

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

Fields of papers citing papers by John D. Graef

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. Graef. 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 John D. Graef. The network helps show where John D. Graef may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Rescue of Fragile X Syndrome Neurons by DNA Methylation Editing of the FMR1 Gene
Hit paper breakdown →
2018363
2 201644
3 201540
4 200936
5 201335
6 200829
7 201927
8 201021
9 201717
10 201217
11 201211
12 201011
13 20239
14 20128
15 20125
16 20123

About John D. Graef

John D. Graef is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Genetics and Pharmacology, having authored 16 papers that have together received 676 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Nicotinic Acetylcholine Receptors Study (5 papers), Ion channel regulation and function (4 papers), Receptor Mechanisms and Signaling (4 papers), Neuroscience and Neural Engineering (3 papers), Memory and Neural Mechanisms (3 papers), Autism Spectrum Disorder Research (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Aging (21 citations), Cellular and Molecular Neuroscience (185 citations), Genetics (187 citations), Biological Psychiatry (15 citations) and Molecular Biology (436 citations). John D. Graef has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Rudolf Jaenisch, Angela Cacace, Hao Wu, Marine Krzisch, Dan Vershkov, X. Shawn Liu, Xuebing Wu, Chuanyun Xu, Richard A. Young and Yun Li. Their work appears in journals such as Journal of Neurophysiology, Journal of Pharmacology and Experimental Therapeutics, Neuroscience, Brain Research and Alcoholism Clinical and Experimental 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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