Derek J. Symula

450 total citations
9 papers, 342 citations indexed

About

Derek J. Symula is a scholar working on Genetics, Molecular Biology and Clinical Biochemistry. According to data from OpenAlex, Derek J. Symula has authored 9 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Clinical Biochemistry. Recurrent topics in Derek J. Symula's work include Metabolism and Genetic Disorders (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). Derek J. Symula is often cited by papers focused on Metabolism and Genetic Disorders (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). Derek J. Symula collaborates with scholars based in United States and Denmark. Derek J. Symula's co-authors include William F. Dove, Alexandra Shedlovsky, J. David McDonald, Edward M. Rubin, Lorraine Flaherty, Kelly A. Frazer, Richard M. Locksley, Zhi‐En Wang, Mary E. Stevens and Yukihiko Ueda and has published in prestigious journals such as Nature Genetics, The Journal of Immunology and PLoS ONE.

In The Last Decade

Derek J. Symula

9 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Derek J. Symula United States	8	204	125	101	87	33	9	342
Aline Cano France	13	288 1.4×	160 1.3×	85 0.8×	79 0.9×	32 1.0×	27	485
Claudia Soler‐Alfonso United States	12	197 1.0×	129 1.0×	135 1.3×	45 0.5×	24 0.7×	21	333
M C Sidey United Kingdom	10	203 1.0×	95 0.8×	24 0.2×	44 0.5×	41 1.2×	12	325
Riina Žordania Estonia	12	182 0.9×	60 0.5×	140 1.4×	46 0.5×	7 0.2×	25	350
Yoshihiro Takamura Japan	14	343 1.7×	90 0.7×	25 0.2×	38 0.4×	20 0.6×	38	578
Ana Pop Netherlands	10	154 0.8×	77 0.6×	68 0.7×	29 0.3×	34 1.0×	16	270
Päivi Vieira Finland	10	159 0.8×	36 0.3×	58 0.6×	52 0.6×	6 0.2×	26	299
Francisco Martı́nez-Azorı́n Spain	14	320 1.6×	71 0.6×	73 0.7×	21 0.2×	7 0.2×	36	426
Rolf J. R. J. Janssen Netherlands	9	662 3.2×	279 2.2×	51 0.5×	47 0.5×	13 0.4×	9	765
Ali Alasmari Saudi Arabia	10	222 1.1×	69 0.6×	69 0.7×	26 0.3×	6 0.2×	28	334

Countries citing papers authored by Derek J. Symula

Since Specialization

Citations

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

Fields of papers citing papers by Derek J. Symula

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Derek J. Symula. 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 Derek J. Symula. The network helps show where Derek J. Symula may publish in the future.

Co-authorship network of co-authors of Derek J. Symula

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

All Works

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9 of 9 papers shown

1.

Dagnæs‐Hansen, Frederik, Ida E. Holm, Steve Meaney, et al.. (2011). Protein Replacement Therapy Partially Corrects the Cholesterol-Storage Phenotype in a Mouse Model of Niemann-Pick Type C2 Disease. PLoS ONE. 6(11). e27287–e27287. 27 indexed citations

2.

Bolivar, Valerie J., et al.. (2006). Two new behavioral QTLs, Emo4 and Reb1, map to mouse Chromosome 1: Congenic strains and candidate gene identification studies. Mammalian Genome. 17(2). 111–118. 23 indexed citations

3.

Flaherty, Lorraine, Bruce J. Herron, & Derek J. Symula. (2005). Genomics of the future: Identification of quantitative trait loci in the mouse. Genome Research. 15(12). 1741–1745. 13 indexed citations

4.

Symula, Derek J., Yiwen Zhu, John C. Schimenti, & Edward M. Rubin. (2004). Functional annotation of mouse mutations in embryonic stem cells by use of expression profiling. Mammalian Genome. 15(1). 1–13. 8 indexed citations

5.

Wang, Zhi‐En, et al.. (2000). Faithful Expression of the Human 5q31 Cytokine Cluster in Transgenic Mice. The Journal of Immunology. 164(9). 4569–4574. 15 indexed citations

6.

Symula, Derek J., Kelly A. Frazer, Yukihiko Ueda, et al.. (1999). Functional screening of an asthma QTL in YAC transgenic mice. Nature Genetics. 23(2). 241–244. 44 indexed citations

7.

Symula, Derek J., et al.. (1997). A candidate mouse model for Hartnup Disorder deficient in neutral amino acid transport. Mammalian Genome. 8(2). 102–107. 13 indexed citations

8.

Symula, Derek J., Alexandra Shedlovsky, & William F. Dove. (1997). Genetic mapping of hph2, a mutation affecting amino acid transport in the mouse. Mammalian Genome. 8(2). 98–101. 7 indexed citations

9.

Shedlovsky, Alexandra, J. David McDonald, Derek J. Symula, & William F. Dove. (1993). Mouse models of human phenylketonuria.. Genetics. 134(4). 1205–1210. 192 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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