Yum L. Yip

913 citations
22 papers · 739 · h-index 15

Impact in

    • Monoclonal and Polyclonal Antibodies Research
    • RNA and protein synthesis mechanisms
    • Bioinformatics and Genomic Networks
    • Genomics and Phylogenetic Studies
    • Biomedical Text Mining and Ontologies
    • Glycosylation and Glycoproteins Research

Papers in

Yum L. Yip

21 papers receiving 707 citations

Peers

Yum L. Yip
Comparison fields: 5 of 91
  • Radiology, Nuclear Medicine and Imaging 194
  • Molecular Biology 485
  • Genetics 151
  • Immunology 95
  • Oncology 100
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Citations per field
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Citations per year

Countries citing papers authored by Yum L. Yip

Since Specialization
Citations

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

Fields of papers citing papers by Yum L. Yip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yum L. Yip. 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 Yum L. Yip. The network helps show where Yum L. Yip may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010121
2 2004108
3 200892
4 200168
5 200265
6 200857
7 199937
8 200727
9 199725
10 200124
11 200524
12 200315
13 199915
14 200815
15 200614
16 199111
17
An ontology for carcinoma classification for clinical bioinformatics.
20058
18
Unlocking the potential of electronic health records for translational research. Findings from the section on bioinformatics and translational informatics.
20125
19 20073
20 20182

About Yum L. Yip

Yum L. Yip is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics, Oncology and Artificial Intelligence, having authored 22 papers that have together received 739 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Biomedical Text Mining and Ontologies (6 papers), Glycosylation and Glycoproteins Research (5 papers), Genomics and Rare Diseases (3 papers), Immunotherapy and Immune Responses (2 papers), Semantic Web and Ontologies (2 papers), Genomics and Phylogenetic Studies (2 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (194 citations), Molecular Biology (485 citations), Genetics (151 citations), Immunology (95 citations) and Oncology (100 citations). Yum L. Yip has collaborated with scholars based in Switzerland, Australia and Germany. Frequent co-authors include Robyn L. Ward, Anne‐Lise Veuthey, Anaïs Mottaz, Amos Bairoch, Fabrice David, Holger Scheib, Nicholas J. Hawkins, Patrick Ruch, Elisabeth Gasteiger and Alexander Diemand. Their work appears in journals such as Human Mutation, BMC Bioinformatics, Bioinformatics, Immunotechnology and Combinatorial Chemistry & High Throughput Screening.

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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