Robert Yang

3.9k citations
26 papers · 3.0k indexed · 1 hit paper · h-index 19

Robert Yang

26 papers receiving 2.7k citations

Hit Papers

Accessing Genetic Information with High-Density DNA Arrays1.1k19962026200620162505007501000

Peers

Robert Yang
Comparison fields: 5 of 146
  • Virology 242
  • Molecular Biology 1.8k
  • Infectious Diseases 313
  • Genetics 434
  • Nature and Landscape Conservation 135
Replace Michael Ott with:
Michael Ott Germany
Michael L. Metzker United States
Bruce A. Johnson United States
Howard M. Shapiro United States
David R. Parks United States
Rob N. de Jong Netherlands
Fang Wei China
Alan M. Johnson United States
Harold Swerdlow United States
R. R. Watson United States
Robert Yang relative to Michael Ott Germany Michael Ott's profile →
Citations per field
00.5×7.1×
Michael Ott · 1×
Citations per year

Countries citing papers authored by Robert Yang

Since Specialization
Citations

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

Fields of papers citing papers by Robert Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20248
2 202338
3 202222
4 202248
5 201811
6 20172
7 20073
8
Dynamic cellular automata: an alternative approach to cellular simulation.
200535
9 2004222
10 1996413
11 198912
12 198843
13 198835
14 198625
15 198645
16 198321
17 1979258
18 197916
19 1979175
20 197645

About Robert Yang

Robert Yang is a scholar working on Ecology, Virology and Molecular Biology, having authored 26 papers that have together received 3.0k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Polyomavirus and related diseases (4 papers), Molecular Biology Techniques and Applications (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Virology (242 citations), Molecular Biology (1.8k citations) and Infectious Diseases (313 citations). Robert Yang has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Mark S. Chee, Ray Wü, Earl Hubbell, Anthony Berno, David Stern, J. Winkler, Stephen P. A. Fodor, David J. Lockhart, Xiaohua Huang and Macdonald Morris. Their work appears in journals such as Nucleic Acids Research, Gene, European Journal of Biochemistry, Science and Canadian Journal of Forest 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.

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