Lorraine Tanabe

3.7k total citations · 1 hit paper
19 papers, 2.3k citations indexed

About

Lorraine Tanabe is a scholar working on Molecular Biology, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Lorraine Tanabe has authored 19 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Artificial Intelligence and 1 paper in Statistics and Probability. Recurrent topics in Lorraine Tanabe's work include Biomedical Text Mining and Ontologies (16 papers), Topic Modeling (10 papers) and Semantic Web and Ontologies (7 papers). Lorraine Tanabe is often cited by papers focused on Biomedical Text Mining and Ontologies (16 papers), Topic Modeling (10 papers) and Semantic Web and Ontologies (7 papers). Lorraine Tanabe collaborates with scholars based in United States and Spain. Lorraine Tanabe's co-authors include W. John Wilbur, John N. Weinstein, Lawrence Hunter, Uwe Scherf, Thomas C. Rindflesch, Lawrence H. Smith, William C. Reinhold, Jae K. Lee, Kurt W. Kohn and Edward A. Sausville and has published in prestigious journals such as Nature Genetics, Bioinformatics and Genome biology.

In The Last Decade

Lorraine Tanabe

19 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A gene expression database for the molecular pharmacology of cancer

2000 1.1k citations Uwe Scherf, Douglas T. Ross et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lorraine Tanabe United States	13	1.9k	831	220	190	155	19	2.3k
Jin-Dong Kim Japan	28	2.2k 1.1×	2.0k 2.5×	114 0.5×	88 0.5×	100 0.6×	131	3.4k
Ken Fukuda Japan	19	827 0.4×	384 0.5×	129 0.6×	48 0.3×	75 0.5×	103	1.6k
Cosmin Lazar Belgium	10	1.0k 0.5×	277 0.3×	97 0.4×	71 0.4×	133 0.9×	21	1.6k
Aris Floratos United States	15	1.1k 0.6×	222 0.3×	291 1.3×	185 1.0×	108 0.7×	26	2.5k
W. Jim Zheng United States	21	624 0.3×	315 0.4×	85 0.4×	95 0.5×	69 0.4×	75	1.2k
David W. Kane United States	15	1.8k 0.9×	125 0.2×	184 0.8×	106 0.6×	315 2.0×	18	2.4k
Christine Chichester Switzerland	17	594 0.3×	246 0.3×	67 0.3×	184 1.0×	120 0.8×	31	958
Andra Waagmeester Netherlands	13	862 0.4×	127 0.2×	80 0.4×	153 0.8×	140 0.9×	30	1.2k
Masayuki Takeda Japan	13	513 0.3×	405 0.5×	134 0.6×	146 0.8×	39 0.3×	94	1.4k
Jonatan Taminau Belgium	8	673 0.3×	268 0.3×	73 0.3×	139 0.7×	118 0.8×	14	1.1k

Countries citing papers authored by Lorraine Tanabe

Since Specialization

Citations

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

Fields of papers citing papers by Lorraine Tanabe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorraine Tanabe

This figure shows the co-authorship network connecting the top 25 collaborators of Lorraine Tanabe. A scholar is included among the top collaborators of Lorraine Tanabe 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 Lorraine Tanabe. Lorraine Tanabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Krallinger, Martin, Alexander A. Morgan, Larry Smith, et al.. (2008). Evaluation of text-mining systems for biology: overview of the Second BioCreative community challenge. Genome biology. 9(S2). 148 indexed citations

Demner‐Fushman, Dina, Susanne M. Humphrey, Nicholas C. Ide, et al.. (2006). Finding Relevant Passages in Scientific Articles: Fusion of Automatic Approaches vs. an Interactive Team Effort.. Text REtrieval Conference. 13 indexed citations

Tanabe, Lorraine & W. John Wilbur. (2006). A priority model for named entities. 33–33. 16 indexed citations

Tanabe, Lorraine, et al.. (2006). SemCat: semantically categorized entities for genomics.. PubMed. 754–8. 10 indexed citations

Tanabe, Lorraine & W. John Wilbur. (2006). A priority model for named entities. 33–33. 5 indexed citations

Tanabe, Lorraine, et al.. (2005). GENETAG: a tagged corpus for gene/protein named entity recognition. BMC Bioinformatics. 6(S1). S3–S3. 169 indexed citations

Aronson, Alan R., Dina Demner‐Fushman, Susanne M. Humphrey, et al.. (2005). Fusion of knowledge-intensive and statistical approaches for retrieving and annotating textual genomics documents. 29 indexed citations

Smith, Lee, Lorraine Tanabe, Thomas C. Rindflesch, & W. John Wilbur. (2005). MedTag. 32–37. 6 indexed citations

Aronson, Alan R., Susanne M. Humphrey, Nicholas C. Ide, et al.. (2004). Knowledge-Intensive and Statistical Approaches to the Retrieval and Annotation of Genomics MEDLINE Citations.. Text REtrieval Conference. 10 indexed citations

10.

Cohen, Kevin Bretonnel, et al.. (2004). A resource for constructing customized test suites for molecular biology entity identification systems. North American Chapter of the Association for Computational Linguistics. 1–8. 14 indexed citations

11.

Tanabe, Lorraine & W. John Wilbur. (2004). GENERATION OF A LARGE GENE/PROTEIN LEXICON BY MORPHOLOGICAL PATTERN ANALYSIS. Journal of Bioinformatics and Computational Biology. 1(4). 611–626. 17 indexed citations

12.

Kayaalp, Mehmet, Alan R. Aronson, Susanne M. Humphrey, et al.. (2003). Methods for Accurate Retrieval of MEDLINE Citations in Functional Genomics.. Text REtrieval Conference. 17(3). 441–450. 10 indexed citations

13.

Tanabe, Lorraine & W. John Wilbur. (2002). Tagging gene and protein names in full text articles. 3. 9–13. 33 indexed citations

14.

Tanabe, Lorraine & W. John Wilbur. (2002). Tagging gene and protein names in biomedical text. Bioinformatics. 18(8). 1124–1132. 225 indexed citations

15.

Weinstein, John N., Uwe Scherf, Jae K. Lee, et al.. (2001). The bioinformatics of microarray gene expression profiling. Cytometry. 47(1). 46–49. 12 indexed citations

16.

Lee, Jae K., Uwe Scherf, Lawrence H. Smith, Lorraine Tanabe, & John N. Weinstein. (2001). <title>Analysis of gene expression data of the NCl 60 cancer cell lines using Bayesian hierarchical effects model</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4266. 228–235. 2 indexed citations

17.

Scherf, Uwe, Douglas T. Ross, Mark Waltham, et al.. (2000). A gene expression database for the molecular pharmacology of cancer. Nature Genetics. 24(3). 236–244. 1087 indexed citations breakdown →

18.

Tanabe, Lorraine, et al.. (1999). MedMiner: An Internet Text-Mining Tool for Biomedical Information, with Application to Gene Expression Profiling. BioTechniques. 27(6). 1210–1217. 169 indexed citations

19.

Rindflesch, Thomas C., Lorraine Tanabe, John N. Weinstein, & Lawrence Hunter. (1999). EDGAR: Extraction of Drugs, Genes And Relations from the Biomedical Literature. PubMed. 517–528. 299 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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