Erik Segerdell

3.2k total citations
19 papers, 663 citations indexed

About

Erik Segerdell is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Erik Segerdell has authored 19 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Erik Segerdell's work include Biomedical Text Mining and Ontologies (10 papers), Genomics and Phylogenetic Studies (7 papers) and Semantic Web and Ontologies (6 papers). Erik Segerdell is often cited by papers focused on Biomedical Text Mining and Ontologies (10 papers), Genomics and Phylogenetic Studies (7 papers) and Semantic Web and Ontologies (6 papers). Erik Segerdell collaborates with scholars based in United States, Canada and United Kingdom. Erik Segerdell's co-authors include Peter D. Vize, Kevin A. Snyder, Aaron M. Zorn, Nicolas Pollet, Melissa Haendel, Chris Mungall, Monte Westerfield, Virgilio Ponferrada, Paula Mabee and Christina James‐Zorn and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Trends in Ecology & Evolution.

In The Last Decade

Erik Segerdell

19 papers receiving 655 citations

Peers

Erik Segerdell

GENET

Kamran Karimi Canada

Ceri E. Van Slyke United States

Vitaly V. Gursky Russia

Yvonne M. Bradford United States

Johann de Jong Netherlands

Christina James‐Zorn United States

Ian K. Quigley United States

Raphaël Thuret United Kingdom

Anastasia Samsonova Russia

Joshua D. Fortriede United States

Kamran Karimi Canada

Erik Segerdell

375 ×0.7

100 ×0.9

GENET

47 ×0.5

57 ×0.9

30 ×0.7

Citations per year, relative to Erik Segerdell Erik Segerdell (= 1×) peers Kamran Karimi

Countries citing papers authored by Erik Segerdell

Since Specialization

Citations

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

Fields of papers citing papers by Erik Segerdell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Segerdell

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Fisher, Malcolm E, Christina James‐Zorn, Virgilio Ponferrada, et al.. (2023). Xenbase: key features and resources of the Xenopus model organism knowledgebase. Genetics. 224(1). 38 indexed citations

Fisher, Malcolm E, Erik Segerdell, Nicolas Matentzoglu, et al.. (2022). The Xenopus phenotype ontology: bridging model organism phenotype data to human health and development. BMC Bioinformatics. 23(1). 99–99. 4 indexed citations

Lie, Shervi, Erik Segerdell, Yuefang Ma, et al.. (2019). Immunological Molecular Responses of Human Retinal Pigment Epithelial Cells to Infection With Toxoplasma gondii. Frontiers in Immunology. 10. 708–708. 20 indexed citations

Fisher, Malcolm E, Christina James‐Zorn, Troy J. Pells, et al.. (2019). Xenbase: Facilitating the Use of Xenopus to Model Human Disease. Frontiers in Physiology. 10. 154–154. 58 indexed citations

Matentzoglu, Nicolas, David Osumi-Sutherland, James P. Balhoff, et al.. (2019). uPheno 2: Framework for standardised representation of phenotypes across species. Faculty of 1000 Research Ltd. 8. 4 indexed citations

James‐Zorn, Christina, Virgilio Ponferrada, Malcolm E Fisher, et al.. (2018). Navigating Xenbase: An Integrated Xenopus Genomics and Gene Expression Database. Methods in molecular biology. 1757. 251–305. 20 indexed citations

Zhang, Haijiao, Beth Wilmot, Daniel Bottomly, et al.. (2017). Abstract 2452: Detailed genomic characterization of CNL/aCML/MPN-U/CMML reveals disease subgroups that may benefit from rationally-designed combination therapies. Cancer Research. 77(13_Supplement). 2452–2452. 1 indexed citations

Thacker, Robert, Maria Cristina Díaz, Régine Vignes‐Lebbe, et al.. (2014). The Porifera Ontology (PORO): enhancing sponge systematics with an anatomy ontology. Journal of Biomedical Semantics. 5(1). 39–39. 8 indexed citations

Segerdell, Erik, Virgilio Ponferrada, Christina James‐Zorn, et al.. (2013). Enhanced XAO: the ontology of Xenopus anatomy and development underpins more accurate annotation of gene expression and queries on Xenbase. Journal of Biomedical Semantics. 4(1). 31–31. 28 indexed citations

10.

Dahdul, Wasila, James P. Balhoff, David C. Blackburn, et al.. (2012). A Unified Anatomy Ontology of the Vertebrate Skeletal System. PLoS ONE. 7(12). e51070–e51070. 28 indexed citations

11.

Vasilevsky, Nicole, Todd R. Johnson, Carlo Torniai, et al.. (2012). Research resources: curating the new eagle-i discovery system. Database. 2012(0). bar067–bar067. 22 indexed citations

12.

James‐Zorn, Christina, Virgilio Ponferrada, Kevin A. Burns, et al.. (2012). Xenbase: expansion and updates of the Xenopus model organism database. Nucleic Acids Research. 41(D1). D865–D870. 52 indexed citations

13.

Torniai, Carlo, Matthew Brush, Nicole Vasilevsky, et al.. (2011). Developing an application ontology for biomedical resource annotation and retrieval: Challenges and lessons learned. 833. 101–108. 18 indexed citations

14.

Haendel, Melissa, Mark M. J. Wilson, Carlo Torniai, et al.. (2010). Eagle-i: Making Invisible Resources, Visible.. Journal of Biomolecular Techniques JBT. 21. 1 indexed citations

15.

Snyder, Kevin A., et al.. (2009). Xenbase: gene expression and improved integration. Nucleic Acids Research. 38(suppl_1). D607–D612. 107 indexed citations

16.

Segerdell, Erik, et al.. (2008). An ontology for Xenopus anatomy and development. BMC Developmental Biology. 8(1). 92–92. 41 indexed citations

17.

Mabee, Paula, Michael Ashburner, Quentin Cronk, et al.. (2007). Phenotype ontologies: the bridge between genomics and evolution. Trends in Ecology & Evolution. 22(7). 345–350. 105 indexed citations

18.

Bowes, J. B., Kevin A. Snyder, Erik Segerdell, et al.. (2007). Xenbase: a Xenopus biology and genomics resource. Nucleic Acids Research. 36(Database). D761–D767. 104 indexed citations

19.

Henrich, Thorsten, Mirana Ramialison, Erik Segerdell, et al.. (2004). GSD: a genetic screen database. Mechanisms of Development. 121(7-8). 959–963. 4 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.

Explore authors with similar magnitude of impact