Yum L. Yip

909 total citations
21 papers, 711 citations indexed

About

Yum L. Yip is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Yum L. Yip has authored 21 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Artificial Intelligence. Recurrent topics in Yum L. Yip's work include Monoclonal and Polyclonal Antibodies Research (7 papers), Biomedical Text Mining and Ontologies (6 papers) and Glycosylation and Glycoproteins Research (5 papers). Yum L. Yip is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), Biomedical Text Mining and Ontologies (6 papers) and Glycosylation and Glycoproteins Research (5 papers). Yum L. Yip collaborates with scholars based in Switzerland, Australia and Germany. Yum L. Yip's co-authors include Robyn L. Ward, Anne‐Lise Veuthey, Anaïs Mottaz, Amos Bairoch, Fabrice David, Holger Scheib, Nicholas J. Hawkins, Alexandre Gattiker, Alexander Diemand and Patrick Ruch and has published in prestigious journals such as Bioinformatics, The Journal of Immunology and International Journal of Cancer.

In The Last Decade

Yum L. Yip

20 papers receiving 686 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yum L. Yip Switzerland 14 541 203 171 109 100 21 711
Ikbel Achour United States 16 356 0.7× 183 0.9× 58 0.3× 85 0.8× 180 1.8× 30 601
Chin‐Hsien Tai United States 17 441 0.8× 79 0.4× 68 0.4× 130 1.2× 147 1.5× 38 694
Musaddeque Ahmed Canada 15 589 1.1× 44 0.2× 99 0.6× 119 1.1× 69 0.7× 25 891
Alicia M. Chenoweth United Kingdom 12 444 0.8× 471 2.3× 30 0.2× 220 2.0× 294 2.9× 21 872
Su Yun Chung United States 12 373 0.7× 35 0.2× 51 0.3× 146 1.3× 45 0.5× 29 597
Noor Jailkhani United States 10 355 0.7× 162 0.8× 72 0.4× 330 3.0× 222 2.2× 15 747
John Barkinge United States 9 328 0.6× 129 0.6× 61 0.4× 203 1.9× 44 0.4× 9 515
Stefan Ewert Switzerland 10 791 1.5× 737 3.6× 24 0.1× 91 0.8× 195 1.9× 11 984
Andrew Buchanan United Kingdom 15 417 0.8× 368 1.8× 21 0.1× 138 1.3× 97 1.0× 30 688
Darshan Singh United States 9 1.1k 2.0× 39 0.2× 101 0.6× 73 0.7× 49 0.5× 29 1.3k

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-authorship network of co-authors of Yum L. Yip

This figure shows the co-authorship network connecting the top 25 collaborators of Yum L. Yip. A scholar is included among the top collaborators of Yum L. Yip based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yum L. Yip. Yum L. Yip is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Yip, Yum L.. (2012). Unlocking the potential of electronic health records for translational research. Findings from the section on bioinformatics and translational informatics.. PubMed. 7. 135–8. 4 indexed citations
3.
Mottaz, Anaïs, et al.. (2010). Easy retrieval of single amino-acid polymorphisms and phenotype information using SwissVar. Bioinformatics. 26(6). 851–852. 118 indexed citations
4.
David, Fabrice & Yum L. Yip. (2008). SSMap: A new UniProt-PDB mapping resource for the curation of structural-related information in the UniProt/Swiss-Prot Knowledgebase. BMC Bioinformatics. 9(1). 391–391. 15 indexed citations
5.
Yip, Yum L., Maria Livia Famiglietti, Arnaud Gos, et al.. (2008). Annotating single amino acid polymorphisms in the UniProt/Swiss-Prot knowledgebase. Human Mutation. 29(3). 361–366. 90 indexed citations
6.
Mottaz, Anaïs, Yum L. Yip, Patrick Ruch, & Anne‐Lise Veuthey. (2008). Mapping proteins to disease terminologies: from UniProt to MeSH. BMC Bioinformatics. 9(S5). S3–S3. 55 indexed citations
7.
Mottaz, Anaïs, Yum L. Yip, Patrick Ruch, & Anne‐Lise Veuthey. (2007). Mapping protein information to disease terminologies. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 4(3). 243–251. 3 indexed citations
8.
Yip, Yum L., et al.. (2007). RETRIEVING MUTATION-SPECIFIC INFORMATION FOR HUMAN PROTEINS IN UNIPROT/SWISS-PROT KNOWLEDGEBASE. Journal of Bioinformatics and Computational Biology. 5(6). 1215–1231. 26 indexed citations
9.
Yip, Yum L., Vincent Zoete, Holger Scheib, & Olivier Michielin. (2006). Structural assessment of single amino acid mutations: application to TP53 function. Human Mutation. 27(9). 926–937. 12 indexed citations
10.
Kumar, Anand, Yum L. Yip, Barry Smith, & Pierre Grenon. (2005). Bridging the gap between medical and bioinformatics: An ontological case study in colon carcinoma. Computers in Biology and Medicine. 36(7-8). 694–711. 19 indexed citations
11.
Yip, Yum L., Holger Scheib, Alexander Diemand, et al.. (2004). The Swiss-Prot variant page and the ModSNP database: A resource for sequence and structure information on human protein variants. Human Mutation. 23(5). 464–470. 106 indexed citations
12.
Yip, Yum L., Jiří Novotný, Michael R. Edwards, & Robyn L. Ward. (2003). Structural analysis of the ErbB‐2 receptor using monoclonal antibodies: Implications for receptor signalling. International Journal of Cancer. 104(3). 303–309. 15 indexed citations
13.
Yip, Yum L. & Robyn L. Ward. (2002). Anti-ErbB-2 monoclonal antibodies and ErbB-2-directed vaccines. Cancer Immunology Immunotherapy. 50(11). 569–587. 62 indexed citations
14.
Yip, Yum L., G M Smith, Joachim Koch, Stefan Dübel, & Robyn L. Ward. (2001). Identification of Epitope Regions Recognized by Tumor Inhibitory and Stimulatory Anti-ErbB-2 Monoclonal Antibodies: Implications for Vaccine Design. The Journal of Immunology. 166(8). 5271–5278. 68 indexed citations
15.
Yip, Yum L.. (2001). Comparison of phage pIII, pVIII and GST as carrier proteins for peptide immunisation in Balb/c mice. Immunology Letters. 79(3). 197–202. 24 indexed citations
16.
Yip, Yum L., et al.. (1999). Biodistribution of filamentous phage-Fab in nude mice. Journal of Immunological Methods. 225(1-2). 171–178. 37 indexed citations
17.
Yip, Yum L. & Robyn L. Ward. (1999). Epitope Discovery Using Monoclonal Antibodies and Phage Peptide Libraries. Combinatorial Chemistry & High Throughput Screening. 2(3). 125–138. 14 indexed citations
18.
Yip, Yum L., Nicholas J. Hawkins, Michelle A. Clark, & Robyn L. Ward. (1997). Evaluation of different lymphoid tissue sources for the construction of human immunoglobulin gene libraries. Immunotechnology. 3(3). 195–203. 25 indexed citations
19.
Yip, Yum L., et al.. (1991). Quantitative Analysis of the Accuracy of Linear Array Transrectal Ultrasound in Measurement of the Prostate. British Journal of Urology. 67(1). 79–82. 10 indexed citations
20.
Yip, Yum L.. (1988). Surgeons' posture and kungfu.. BMJ. 297(6664). 1690–1691. 2 indexed citations

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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