Jean Monlong
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Genomics and Rare Diseases
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Genomics and Phylogenetic Studies 4
- Single-cell and spatial transcriptomics 3
- Bioinformatics and Genomic Networks 2
- Genomics and Chromatin Dynamics 2
- Genetics 4
- Genomic variations and chromosomal abnormalities 3
- Genomics and Rare Diseases 2
- Co-authors
- Benedict Paten (5 shared papers)Jordan M. Eizenga (4 shared papers)Glenn Hickey (5 shared papers)Jouni Sirén (3 shared papers)Adam M. Novak (3 shared papers)Erik Garrison (3 shared papers)Guillaume Bourque (7 shared papers)Jonas A. Sibbesen (2 shared papers)
- Journals
- Nature Communications (3 papers)Annual Review of Genomics and Human Genetics (1 paper)Nature Methods (1 paper)Veterinary Research (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Jean Monlong
15 papers receiving 940 citations
Jean Monlong's Hit Papers
Peers
Comparison fields: 5 of 88
- Genetics 159
- Cancer Research 168
- Genetics 218
- Molecular Biology 540
- Oncology 114
Countries citing papers authored by Jean Monlong
This map shows the geographic impact of Jean Monlong'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 Jean Monlong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Monlong more than expected).
Fields of papers citing papers by Jean Monlong
This network shows the impact of papers produced by Jean Monlong. 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 Jean Monlong. The network helps show where Jean Monlong may publish in the future.
Co-authors
The 25 scholars most cited alongside Jean Monlong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Single-cell RNA-seq reveals that glioblastoma recapitulates a normal neurodevelopmental hierarchy Hit paper breakdown → | 2020 | 325 |
| 2 | 2021 | 179 | |
| 3 | 2020 | 169 | |
| 4 | 2014 | 77 | |
| 5 | 2011 | 44 | |
| 6 | 2018 | 36 | |
| 7 | 2019 | 32 | |
| 8 | 2022 | 24 | |
| 9 | 2018 | 23 | |
| 10 | 2023 | 13 | |
| 11 | 2024 | 12 | |
| 12 | 2024 | 10 | |
| 13 | 2024 | 3 | |
| 14 | 2018 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2021 | 0 |
About Jean Monlong
Jean Monlong is a scholar working on Molecular Biology, Genetics, Cancer Research, Oncology and Plant Science, having authored 16 papers that have together received 949 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Single-cell and spatial transcriptomics (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Genomics and Rare Diseases (2 papers), Cancer Genomics and Diagnostics (2 papers), Chromosomal and Genetic Variations (2 papers), Bioinformatics and Genomic Networks (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Genetics (159 citations), Cancer Research (168 citations), Genetics (218 citations), Molecular Biology (540 citations) and Oncology (114 citations). Jean Monlong has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Benedict Paten, Jordan M. Eizenga, Glenn Hickey, Jouni Sirén, Adam M. Novak, Erik Garrison, Guillaume Bourque, Jonas A. Sibbesen, Miquel Calvo and Roderic Guigó. Their work appears in journals such as Nature Communications, Annual Review of Genomics and Human Genetics, Nature Methods, Veterinary Research and Cancer 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.