Jennifer E. Moon

35 papers receiving 2.8k citations

Jennifer E. Moon's Hit Papers

Intravenous and intracranial GD2-CAR T cells for H3K27M+ diffuse midline gliomas 2024 · 105 citations
1050+1+2Years since publication200400600

Peers

Jennifer E. Moon
Comparison fields: 5 of 111
  • Plant Science 880
  • Oncology 549
  • Genetics 222
  • Molecular Biology 1.1k
  • Endocrinology, Diabetes and Metabolism 214
Replace Karen J. Duran with:
Karen J. Duran Netherlands
Amy L. Firth United States
E.B. Robson United Kingdom
Águeda M. Tejera Spain
Jung Sun Park South Korea
Martin Leduc Canada
Helge Boman Norway
Matsuyuki Shirota Japan
Sandesh C.S. Nagamani United States
Christy R. Hagan United States
Jennifer E. Moon relative to Karen J. Duran Netherlands Karen J. Duran's profile →
Citations per field
00.5×2×3×4.2×
Karen J. Duran · 1×
Citations per year

Countries citing papers authored by Jennifer E. Moon

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer E. Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
GD2-CAR T cell therapy for H3K27M-mutated diffuse midline gliomas
Hit paper breakdown →
2022635
2 2004506
3 2005220
4 2008219
5 2015114
6 2012107
7
Intravenous and intracranial GD2-CAR T cells for H3K27M+ diffuse midline gliomas
Hit paper breakdown →
2024105
8 199691
9 201584
10 201476
11 201376
12 200674
13 201366
14 201264
15 201264
16 202263
17 202151
18 201340
19 202429
20 201927

About Jennifer E. Moon

Jennifer E. Moon is a scholar working on Oncology, Endocrinology, Diabetes and Metabolism, Genetics, Pediatrics, Perinatology and Child Health and Genetics, having authored 37 papers that have together received 2.8k indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), Lipoproteins and Cardiovascular Health (5 papers), Plant Molecular Biology Research (4 papers), Pharmacological Effects and Toxicity Studies (4 papers), Photosynthetic Processes and Mechanisms (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Glioma Diagnosis and Treatment (3 papers). The work is most often cited by research in Plant Science (880 citations), Oncology (549 citations), Genetics (222 citations), Molecular Biology (1.1k citations) and Endocrinology, Diabetes and Metabolism (214 citations). Jennifer E. Moon has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Mark A. Estelle, Geraint Parry, Enamul Huq, Hui Shen, Antonio Gotto, Ling Q. Zhu, Joel N. Hirschhorn, Andrew Nahum Dauber, Timothy C. Miller and Alberto Caiazza. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, JAMA Neurology, Neuro-Oncology, The American Journal of Cardiology and Expert Review of Cardiovascular Therapy.

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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