N. Cheng

23 papers receiving 2.5k citations

N. Cheng's Hit Papers

Papillomavirus L1 major capsid protein self-assembles into virus-like particles that are highly immunogenic. 1992 · 883 citations
8830+11+22Years since publication250500750

Peers

N. Cheng
Comparison fields: 5 of 89
  • Structural Biology 174
  • Hepatology 359
  • Epidemiology 1.4k
  • Ecology 914
  • Virology 153
Replace Petr Chlanda with:
Petr Chlanda Germany
Naiqian Cheng United States
Frank P. Booy United States
Teryl K. Frey United States
Boerries Brandenburg United States
Ethan C. Settembre United States
Elizabeth E. Fry United Kingdom
A.C. Steven United States
Fasséli Coulibaly Australia
Philip R. Dormitzer United States
N. Cheng relative to Petr Chlanda Germany Petr Chlanda's profile →
Citations per field
00.5×2.9×
Petr Chlanda · 1×
Citations per year

Countries citing papers authored by N. Cheng

Since Specialization
Citations

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

Fields of papers citing papers by N. Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Papillomavirus L1 major capsid protein self-assembles into virus-like particles that are highly immunogenic.
Hit paper breakdown →
1992883
2 1997400
3 1996243
4 2001165
5 1995156
6 1997147
7 199880
8 199580
9 200368
10 200366
11 199947
12 199845
13 198938
14 198934
15 199830
16 200526
17 201213
18 20054
19
Phylogenetic diversity of bacteria and Archaea associated with the marine sponge Pachychalina sp.
20082
20 19942

About N. Cheng

N. Cheng is a scholar working on Ecology, Epidemiology, Molecular Biology, Genetics and Hepatology, having authored 23 papers that have together received 2.5k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (15 papers), Hepatitis B Virus Studies (7 papers), Hepatitis C virus research (4 papers), Insect and Arachnid Ecology and Behavior (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Herpesvirus Infections and Treatments (2 papers), Insect and Pesticide Research (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Structural Biology (174 citations), Hepatology (359 citations), Epidemiology (1.4k citations), Ecology (914 citations) and Virology (153 citations). N. Cheng has collaborated with scholars based in United States, France and China. Frequent co-authors include James F. Conway, Frank P. Booy, Alasdair C. Steven, Douglas R. Lowy, John T. Schiller, Reinhard Kirnbauer, Paul T. Wingfield, Adam Zlotnick, Stephen J. Stahl and Robert L. Duda. Their work appears in journals such as Microscopy and Microanalysis, Proceedings of the National Academy of Sciences, Journal of Molecular Biology, Journal of Virology and The Journal of Cell Biology.

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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