Dan Sullivan

445 total citations
12 papers, 285 citations indexed

About

Dan Sullivan is a scholar working on Molecular Biology, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, Dan Sullivan has authored 12 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Aerospace Engineering and 1 paper in Computer Networks and Communications. Recurrent topics in Dan Sullivan's work include Biomedical Text Mining and Ontologies (3 papers), Inertial Sensor and Navigation (3 papers) and Machine Learning in Bioinformatics (2 papers). Dan Sullivan is often cited by papers focused on Biomedical Text Mining and Ontologies (3 papers), Inertial Sensor and Navigation (3 papers) and Machine Learning in Bioinformatics (2 papers). Dan Sullivan collaborates with scholars based in United States, United Kingdom and Japan. Dan Sullivan's co-authors include Alison Brown, Normand Brisson, Chunhong Mao, David Y. Thomas, Bruno Sobral, Desh Pal S. Verma, Jun’ichi Tsujii, Sophia Ananiadou, Sampo Pyysalo and Tomoko Ohta and has published in prestigious journals such as Nature, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Dan Sullivan

12 papers receiving 241 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan Sullivan United States	10	132	86	50	28	27	12	285
Junming Yin United States	7	194 1.5×	57 0.7×	39 0.8×	9 0.3×	5 0.2×	23	301
K. Kavitha India	5	126 1.0×	27 0.3×	60 1.2×	14 0.5×	6 0.2×	14	290
Su Deng China	10	59 0.4×	60 0.7×	38 0.8×	16 0.6×	13 0.5×	64	357
Tom Christiansen United States	7	150 1.1×	113 1.3×	72 1.4×	11 0.4×	2 0.1×	13	330
Athanasios K. Tsakalidis Greece	9	103 0.8×	78 0.9×	81 1.6×	15 0.5×	2 0.1×	29	268
Yinghong Ma China	10	79 0.6×	51 0.6×	34 0.7×	24 0.9×	1 0.0×	54	341
Aleks Jakulin Slovenia	9	180 1.4×	57 0.7×	35 0.7×	15 0.5×	2 0.1×	13	366
Muntadher Saadoon Malaysia	5	142 1.1×	57 0.7×	69 1.4×	9 0.3×	8 0.3×	8	290
Yichen Wang China	9	146 1.1×	12 0.1×	99 2.0×	17 0.6×	3 0.1×	42	267

Countries citing papers authored by Dan Sullivan

Since Specialization

Citations

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

Fields of papers citing papers by Dan Sullivan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Sullivan

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

All Works

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12 of 12 papers shown

1.

Mao, Chunhong, Timothy D. Howard, Dan Sullivan, et al.. (2017). Bioinformatic Analysis of Coronary Disease Associated SNPs and Genes to Identify Proteins Potentially Involved in the Pathogenesis of Atherosclerosis. PubMed. 2(1). 1–12. 13 indexed citations

2.

Pyysalo, Sampo, Tomoko Ohta, Rafał Rak, et al.. (2011). Overview of the Infectious Diseases (ID) task of BioNLP Shared Task 2011. Research Explorer (The University of Manchester). 26–35. 34 indexed citations

3.

Ananiadou, Sophia, Dan Sullivan, William J. Black, et al.. (2011). Named Entity Recognition for Bacterial Type IV Secretion Systems. PLoS ONE. 6(3). e14780–e14780. 14 indexed citations

4.

Pyysalo, Sampo, Tomoko Ohta, Han-Cheol Cho, et al.. (2010). Towards Event Extraction from Full Texts on Infectious Diseases. 132–140. 9 indexed citations

5.

Sullivan, Dan, et al.. (2007). Hit the Reference Transaction Mark : Incorporating READ into DART. Digital Collections of Colorado (Colorado State University). 2 indexed citations

6.

Crasta, Oswald, Stephen Cammer, Rebecca Will, et al.. (2007). An emerging cyberinfrastructure for biodefense pathogen and pathogen–host data. Nucleic Acids Research. 36(Supplement_1). D884–D891. 12 indexed citations

7.

Brown, Alison & Dan Sullivan. (2002). Precision Kinematic Alignment Using a Low- Cost GPS/INS System. Proceedings of the 15th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GPS 2002). 1094–1099. 15 indexed citations

8.

Sullivan, Dan, et al.. (2002). Inertial Navigation Electro-Optical Aiding During GPS Dropouts. 9 indexed citations

9.

Sullivan, Dan, et al.. (2002). HIGH ACCURACY DIFFERENTIAL AND KINEMATIC GPS POSITIONING USING A DIGITAL BEAM-STEERING RECEIVER. 7 indexed citations

10.

Sullivan, Dan. (2001). Document Warehousing and Text Mining: Techniques for Improving Business Operations, Marketing, and Sales. 77 indexed citations

11.

Sullivan, Dan. (2001). DOCUMENT WAREHOUSING AND TEXT MINING. 59 indexed citations

12.

Sullivan, Dan, et al.. (1981). Molecular cloning and organization of two leghaemoglobin genomic sequences of soybean. Nature. 289(5797). 516–518. 34 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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