Rob Yang

547 citations
16 papers · 355 indexed · h-index 9

Impact in

    • Enzyme Production and Characterization
    • Gene expression and cancer classification
    • Molecular Biology Techniques and Applications
    • Advanced biosensing and bioanalysis techniques
    • RNA and protein synthesis mechanisms

Papers in

Rob Yang

15 papers receiving 313 citations

Peers

Rob Yang
Comparison fields: 5 of 63
  • Biotechnology 30
  • Molecular Biology 195
  • Oncology 74
  • Biomedical Engineering 74
  • Ecology 37
Replace Nicole M. Nichols with:
Nicole M. Nichols United States
Shuobing Chen China
Hanna Tegel Sweden
Frank F. Craig United Kingdom
Bethny Morrissey Australia
J Tornow United States
W. Ankenbauer Germany
Jamie L. Almeida United States
Jonathan Belk United States
Preston Hunter United States
Rob Yang relative to Nicole M. Nichols United States Nicole M. Nichols's profile →
Citations per field
00.5×1.5×2.2×
Nicole M. Nichols · 1×
Citations per year

Countries citing papers authored by Rob Yang

Since Specialization
Citations

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

Fields of papers citing papers by Rob Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 202313
2 20131
3 20120
4 20101
5 20061
6 20021
7 20022
8 1999196
9 198915
10 198923
11 198013
12 197925
13 19789
14 197820
15 19787
16 197528

About Rob Yang

Rob Yang is a scholar working on Oncology, Health Information Management, Anesthesiology and Pain Medicine, Experimental and Cognitive Psychology and Clinical Psychology, having authored 16 papers that have together received 355 indexed citations. Recurring topics across this work include Polyomavirus and related diseases (6 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers), Bacteriophages and microbial interactions (2 papers), Perfectionism, Procrastination, Anxiety Studies (2 papers), Pain Mechanisms and Treatments (2 papers), Bacterial Genetics and Biotechnology (2 papers), Biofuel production and bioconversion (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Biotechnology (30 citations), Molecular Biology (195 citations), Oncology (74 citations), Biomedical Engineering (74 citations) and Ecology (37 citations). Rob Yang has collaborated with scholars based in Canada, United States and Belgium. Frequent co-authors include Nila Shah, Robert J. Lipshutz, Don Morris, Michael J. Kozal, Ruyan Wu, Naiping Shen, M. S. Chee, Earl Hubbell, Stephen P. A. Fodor and Rong‐Ching Wu. Their work appears in journals such as European Neuropsychopharmacology, Journal of Virology, Journal of Pain, Proceedings of the National Academy of Sciences and Applied and Environmental Microbiology.

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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