Susan M. Bridges

2.7k total citations
67 papers, 2.0k citations indexed

About

Susan M. Bridges is a scholar working on Molecular Biology, Artificial Intelligence and Plant Science. According to data from OpenAlex, Susan M. Bridges has authored 67 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 13 papers in Artificial Intelligence and 9 papers in Plant Science. Recurrent topics in Susan M. Bridges's work include Genomics and Phylogenetic Studies (18 papers), Gene expression and cancer classification (9 papers) and Bioinformatics and Genomic Networks (7 papers). Susan M. Bridges is often cited by papers focused on Genomics and Phylogenetic Studies (18 papers), Gene expression and cancer classification (9 papers) and Bioinformatics and Genomic Networks (7 papers). Susan M. Bridges collaborates with scholars based in United States, India and United Kingdom. Susan M. Bridges's co-authors include Marvin L. Salin, Shane C. Burgess, Fiona McCarthy, Mark L. Lawrence, William S. Sanders, Brandon Malone, Zhaohua Peng, W. Paul Williams, Colin I. Johnston and Kenneth O. Willeford and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Susan M. Bridges

66 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan M. Bridges United States 24 980 488 282 259 162 67 2.0k
Salman Ahmed Pakistan 21 1.1k 1.1× 300 0.6× 333 1.2× 152 0.6× 56 0.3× 135 2.9k
Jianjun Qi China 29 1.4k 1.4× 264 0.5× 741 2.6× 51 0.2× 93 0.6× 124 3.5k
Narendra Singh Yadav India 24 1.6k 1.7× 1.5k 3.0× 102 0.4× 227 0.9× 74 0.5× 94 2.8k
Kimmen Sjölander United States 27 3.9k 4.0× 929 1.9× 568 2.0× 48 0.2× 398 2.5× 41 5.0k
Patrik D’haeseleer United States 30 2.4k 2.5× 230 0.5× 424 1.5× 142 0.5× 222 1.4× 43 3.5k
Yuanxing Zhang China 40 2.8k 2.9× 305 0.6× 117 0.4× 131 0.5× 409 2.5× 329 5.8k
David Levine United States 26 867 0.9× 138 0.3× 136 0.5× 305 1.2× 157 1.0× 60 2.2k
Juhyun Kim South Korea 19 1.3k 1.4× 600 1.2× 160 0.6× 203 0.8× 391 2.4× 73 2.1k
Jun Hu China 30 1.2k 1.2× 76 0.2× 345 1.2× 271 1.0× 33 0.2× 142 3.0k
Eva Chovancová Slovakia 13 1.2k 1.2× 64 0.1× 57 0.2× 109 0.4× 96 0.6× 56 1.8k

Countries citing papers authored by Susan M. Bridges

Since Specialization
Citations

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

Fields of papers citing papers by Susan M. Bridges

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan M. Bridges. 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 Susan M. Bridges. The network helps show where Susan M. Bridges may publish in the future.

Co-authorship network of co-authors of Susan M. Bridges

This figure shows the co-authorship network connecting the top 25 collaborators of Susan M. Bridges. A scholar is included among the top collaborators of Susan M. Bridges 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 Susan M. Bridges. Susan M. Bridges 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
1.
Manda, Prashanti, Fiona McCarthy, & Susan M. Bridges. (2013). Interestingness measures and strategies for mining multi-ontology multi-level association rules from gene ontology annotations for the discovery of new GO relationships. Journal of Biomedical Informatics. 46(5). 849–856. 20 indexed citations
2.
Malone, Brandon, Changhe Yuan, Eric A. Hansen, & Susan M. Bridges. (2011). Improving the scalability of optimal Bayesian network learning with external-memory frontier breadth-first branch and bound search. Uncertainty in Artificial Intelligence. 479–488. 17 indexed citations
3.
Sanders, William S., Nan Wang, Susan M. Bridges, et al.. (2011). The Proteogenomic Mapping Tool. BMC Bioinformatics. 12(1). 115–115. 32 indexed citations
4.
Sanders, William S., Colin I. Johnston, Susan M. Bridges, Shane C. Burgess, & Kenneth O. Willeford. (2011). Prediction of Cell Penetrating Peptides by Support Vector Machines. PLoS Computational Biology. 7(7). e1002101–e1002101. 124 indexed citations
5.
Harhay, Gregory P., Timothy P. L. Smith, Leeson J. Alexander, et al.. (2010). An atlas of bovine gene expression reveals novel distinctive tissue characteristics and evidence for improving genome annotation. Genome biology. 11(10). R102–R102. 46 indexed citations
6.
Manda, Prashanti, et al.. (2009). Comparing gene annotation enrichment tools for functional modeling of agricultural microarray data. BMC Bioinformatics. 10(S11). S9–S9. 24 indexed citations
7.
McCarthy, Fiona, et al.. (2008). Gene Ontology annotation quality analysis in model eukaryotes. Nucleic Acids Research. 36(2). e12–e12. 40 indexed citations
8.
Chitteti, Brahmananda R., et al.. (2008). Comparative analysis of proteome differential regulation during cell dedifferentiation in Arabidopsis. PROTEOMICS. 8(20). 4303–4316. 24 indexed citations
9.
Paul, Debarati, Susan M. Bridges, Shane C. Burgess, Yoginder S. Dandass, & Mark L. Lawrence. (2008). Genome Sequence of the Chemolithoautotrophic Bacterium Oligotropha carboxidovorans OM5 T. Journal of Bacteriology. 190(15). 5531–5532. 19 indexed citations
10.
Dandass, Yoginder S., Shane C. Burgess, Mark L. Lawrence, & Susan M. Bridges. (2008). Accelerating String Set Matching in FPGA Hardware for Bioinformatics Research. BMC Bioinformatics. 9(1). 197–197. 18 indexed citations
11.
Sanders, William S., Susan M. Bridges, Fiona McCarthy, Bindu Nanduri, & Shane C. Burgess. (2007). Prediction of peptides observable by mass spectrometry applied at the experimental set level. BMC Bioinformatics. 8(S7). S23–S23. 60 indexed citations
12.
Wilkins, Dawn, et al.. (2007). Proceedings of the Fourth Annual Conference of the MidSouth Computational Biology and Bioinformatics Society. BMC Bioinformatics. 8(S7). 2 indexed citations
13.
McCarthy, Fiona, Nan Wang, Bindu Nanduri, et al.. (2006). AgBase: a functional genomics resource for agriculture. BMC Genomics. 7(1). 229–229. 235 indexed citations
14.
Bridges, Susan M., et al.. (2005). Incremental estimation of discrete hidden Markov models based on a new backward procedure. National Conference on Artificial Intelligence. 758–763. 11 indexed citations
15.
Wan, Xiu‐Feng, et al.. (2004). Revealing gene transcription and translation initiation patterns in archaea, using an interactive clustering model. Extremophiles. 8(4). 291–299. 8 indexed citations
16.
Bridges, Susan M.. (2002). FUZZY DATA MINING AND GENETIC ALGORITHMS APPLIED TO INTRUSION DETECTION. 22(5). 401–401. 173 indexed citations
17.
Bridges, Susan M.. (1993). Graphics assignments in discrete mathematics. ACM SIGCSE Bulletin. 25(1). 83–86. 1 indexed citations
18.
Salin, Marvin L. & Susan M. Bridges. (1983). Chemiluminescence in soybean root tissue: effect of various substrates and inhibitors. Photobiochemistry and photobiophysics.. 6(1). 57–64. 12 indexed citations
19.
Bridges, Susan M. & Marvin L. Salin. (1981). Distribution of Iron-Containing Superoxide Dismutase in Vascular Plants. PLANT PHYSIOLOGY. 68(2). 275–278. 141 indexed citations
20.
Salin, Marvin L. & Susan M. Bridges. (1980). Localization of superoxide dismutases in chloroplasts from Brassica campestris. Zeitschrift für Pflanzenphysiologie. 99(1). 37–45. 30 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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