Ngan Doan

36 papers receiving 3.6k citations

Hit Papers

GFAP-expressing progenitors are the principal source of constitutive neurogenesis in adult mouse forebrain 2004 · 770 citations
77020042026201120184008001.2k

Peers

Ngan Doan
Comparison fields: 5 of 106
  • Developmental Neuroscience 972
  • Neurology 643
  • Cellular and Molecular Neuroscience 943
  • Cancer Research 566
  • Pathology and Forensic Medicine 615
Replace Julia Herrmann with:
Julia Herrmann Germany
Sergio Schinelli Italy
Eun-hye Joe South Korea
Chia‐Yi Kuan United States
Riitta Keinänen Finland
Shan Zhu China
Ilo Jou South Korea
Songlin Zhou China
Marie‐Pierre Junier France
Ji Hae Seo South Korea
Ngan Doan relative to Julia Herrmann Germany Julia Herrmann's profile →
Citations per field
00.5×2.7×
Julia Herrmann · 1×
Citations per year

Countries citing papers authored by Ngan Doan

Since Specialization
Citations

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

Fields of papers citing papers by Ngan Doan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201920
2 2019102
3 201938
4 201748
5 201551
6 201420
7 201417
8 201325
9 201364
10 201323
11 201295
12 201225
13 201250
14 201143
15 201062
16 2009203
17 200864
18
GFAP-expressing progenitors are the principal source of constitutive neurogenesis in adult mouse forebrain
Hit paper breakdown →
2004770
19
Reactive Astrocytes Protect Tissue and Preserve Function after Spinal Cord Injury
Hit paper breakdown →
20041234
20 20025

About Ngan Doan

Ngan Doan is a scholar working on Applied Microbiology and Biotechnology, Developmental Neuroscience, Cancer Research, Toxicology and Pathology and Forensic Medicine, having authored 36 papers that have together received 3.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Histone Deacetylase Inhibitors Research (5 papers), Cancer-related molecular mechanisms research (4 papers), Epigenetics and DNA Methylation (4 papers), RNA Research and Splicing (4 papers), Cancer-related Molecular Pathways (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Advances in Cucurbitaceae Research (3 papers). The work is most often cited by research in Developmental Neuroscience (972 citations), Neurology (643 citations), Cellular and Molecular Neuroscience (943 citations), Cancer Research (566 citations) and Pathology and Forensic Medicine (615 citations). Ngan Doan has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Michael V. Sofroniew, Keith E. Tansey, Julia Herrmann, Toby G. Bush, A. Denise R. Garcia, Tetsuya Imura, Jonathan Said, H. Phillip Koeffler, Dong Yin and Nils H. Thoennissen. Their work appears in journals such as Cancer Research, International Journal of Cancer, Oncogene, The Journal of Clinical Endocrinology & Metabolism and The Journal of Nutritional Biochemistry.

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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