N. Cheng

3.0k citations
23 papers · 2.5k indexed · 1 hit paper · h-index 16

N. Cheng

23 papers receiving 2.5k citations

Hit Papers

Papillomavirus L1 major capsid protein self-assembles int...8831992202620032014250500750

Peers

N. Cheng
Comparison fields: 5 of 91
  • Structural Biology 176
  • Hepatology 381
  • Epidemiology 1.4k
  • Ecology 923
  • Virology 162
Replace Petr Chlanda with:
Petr Chlanda Germany
Naiqian Cheng United States
Frank P. Booy United States
Boerries Brandenburg United States
Ethan C. Settembre United States
Elizabeth E. Fry United Kingdom
A.C. Steven United States
Philip R. Dormitzer United States
Beate Sodeik Germany
Fasséli Coulibaly Australia
N. Cheng relative to Petr Chlanda Germany Petr Chlanda's profile →
Citations per field
00.5×3.0×
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-authorship network

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
#Work
1 20232
2 201213
3
Phylogenetic diversity of bacteria and Archaea associated with the marine sponge Pachychalina sp.
20082
4 20061
5 200526
6 20054
7 200367
8 20022
9 2001163
10 199947
11 199881
12 199845
13 199830
14 1997399
15 1997146
16 1996241
17 1995154
18 199581
19 198934
20 198938

About N. Cheng

N. Cheng is a scholar working on Structural Biology, Ecology, Hepatology, Virology and Epidemiology, 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), Virus-based gene therapy research (2 papers), Insect and Pesticide Research (2 papers), Insect and Arachnid Ecology and Behavior (2 papers), Neurobiology and Insect Physiology Research (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Structural Biology (176 citations), Hepatology (381 citations), Epidemiology (1.4k citations), Ecology (923 citations) and Virology (162 citations). N. Cheng has collaborated with scholars based in United States, China and France. Frequent co-authors include James F. Conway, Frank P. Booy, Alasdair C. Steven, Douglas R. Lowy, John T. Schiller, Reinhard Kirnbauer, Paul T. Wingfield, Stephen J. Stahl, Adam Zlotnick 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, The Journal of Cell Biology and Journal of Virology.

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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