Huân M. Ngô

1.9k citations
22 papers · 1.5k indexed · 1 hit paper · h-index 15

Huân M. Ngô

22 papers receiving 1.4k citations

Hit Papers

Double-stranded RNA induces mRNA degradation inTrypanosom...5661998202620072016100200300400500

Peers

Huân M. Ngô
Comparison fields: 5 of 97
  • Parasitology 577
  • Epidemiology 605
  • Virology 68
  • Aging 23
  • Physiology 52
Replace Ira J. Blader with:
Ira J. Blader United States
Luísa M. Figueiredo Portugal
Jerry E. Manning United States
Christian J. Janzen Germany
Justin A. McDonough United States
Diego Huet United States
Joanne Thompson United Kingdom
Anna Greco France
Daniel C. Desrosiers United States
Renato Augusto DaMatta Brazil
Huân M. Ngô relative to Ira J. Blader United States Ira J. Blader's profile →
Citations per field
00.5×4.6×
Ira J. Blader · 1×
Citations per year

Countries citing papers authored by Huân M. Ngô

Since Specialization
Citations

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

Fields of papers citing papers by Huân M. Ngô

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huân M. Ngô. 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 Huân M. Ngô. The network helps show where Huân M. Ngô may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201611
2 201514
3 20149
4 20071
5 200528
6 20053
7 200452
8 2003102
9 200368
10 200249
11 200282
12 2002153
13 200125
14 200118
15 2000109
16 200014
17 200061
18 199814
19 199631
20 19952

About Huân M. Ngô

Huân M. Ngô is a scholar working on Parasitology, Epidemiology, Cell Biology, Physiology and Molecular Biology, having authored 22 papers that have together received 1.5k indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (14 papers), Cytomegalovirus and herpesvirus research (5 papers), Protist diversity and phylogeny (4 papers), Herpesvirus Infections and Treatments (4 papers), Photosynthetic Processes and Mechanisms (3 papers), Mosquito-borne diseases and control (2 papers), Cellular transport and secretion (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Parasitology (577 citations), Epidemiology (605 citations), Virology (68 citations), Aging (23 citations) and Physiology (52 citations). Huân M. Ngô has collaborated with scholars based in United States, South Africa and Japan. Frequent co-authors include Keith Gull, Christian Tschudi, Elisabetta Ullu, Keith A. Joiner, Heinrich C. Hoppe, Mei Yang, Vladimir V. Didenko, David S. Baskin, Marc Pypaert and Isabelle Coppens. Their work appears in journals such as Journal of Biological Chemistry, Molecular Microbiology, Nature, Analytical Biochemistry and Molecular and Biochemical Parasitology.

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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