E. Mathew

486 total citations
9 papers, 324 citations indexed

About

E. Mathew is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, E. Mathew has authored 9 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in E. Mathew's work include Bacterial Genetics and Biotechnology (3 papers), Glycosylation and Glycoproteins Research (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). E. Mathew is often cited by papers focused on Bacterial Genetics and Biotechnology (3 papers), Glycosylation and Glycoproteins Research (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). E. Mathew collaborates with scholars based in United States, United Kingdom and Kuwait. E. Mathew's co-authors include Martin Freundlich, Agnieszka Sirko, Ping Tsui, Jizu Zhi, Francisco A. Bonilla, S.K. Alex Law, Jacqueline Shaw, G. E. Hardee, C. Frank Bennett and N.S. Al‐Zaid and has published in prestigious journals such as Journal of Bacteriology, Molecular Microbiology and Gene Therapy.

In The Last Decade

E. Mathew

9 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
E. Mathew United States	7	192	158	54	44	40	9	324
A. D. Reith United States	5	388 2.0×	165 1.0×	76 1.4×	41 0.9×	6 0.1×	6	502
Rebecca St. Pierre Canada	7	364 1.9×	216 1.4×	69 1.3×	47 1.1×	9 0.2×	8	536
Xue-Yuan Pei United Kingdom	8	313 1.6×	118 0.7×	32 0.6×	67 1.5×	5 0.1×	10	477
Sonya Penfold Canada	5	246 1.3×	87 0.6×	16 0.3×	57 1.3×	31 0.8×	7	376
Linda J. Hornstra United States	9	318 1.7×	92 0.6×	59 1.1×	17 0.4×	7 0.2×	9	449
Y Nishimura Japan	8	98 0.5×	78 0.5×	34 0.6×	43 1.0×	5 0.1×	15	304
Nicholas R. Benson United States	13	300 1.6×	173 1.1×	136 2.5×	30 0.7×	20 0.5×	15	464
William J. B. Vincent United States	7	165 0.9×	33 0.2×	18 0.3×	131 3.0×	35 0.9×	9	360
Christian Therrien Canada	11	337 1.8×	45 0.3×	23 0.4×	24 0.5×	19 0.5×	21	513
Adeline Cros France	6	179 0.9×	75 0.5×	24 0.4×	250 5.7×	11 0.3×	9	455

Countries citing papers authored by E. Mathew

Since Specialization

Citations

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

Fields of papers citing papers by E. Mathew

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Mathew

This figure shows the co-authorship network connecting the top 25 collaborators of E. Mathew. A scholar is included among the top collaborators of E. Mathew 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 E. Mathew. E. Mathew 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.

Mathew, E., et al.. (2016). Ancient Grains and Pseudocereals: Chemical Compositions, Nutritional Benefits, and Roles in 21st Century Diets. Cereal Foods World. 61(5). 198–203. 2 indexed citations

2.

Muttappallymyalil, Jayakumary, et al.. (2013). Reasons for complications of type 2 diabetes mellitus observed in the United Arab Emirates: Physicians′ opinion. Journal of Diabetology. 4(3). 7–7. 1 indexed citations

3.

Mathew, E., Fei Ding, Fred Naider, & Mark E. Dumont. (2012). Functional fusions of T4 lysozyme in the third intracellular loop of a G protein-coupled receptor identified by a random screening approach in yeast. Protein Engineering Design and Selection. 26(1). 59–71. 12 indexed citations

4.

Mathew, T.C., et al.. (2010). Low carbohydrate ketogenic diet prevents the induction of diabetes using streptozotocin in rats. Experimental and Toxicologic Pathology. 63(7-8). 663–669. 24 indexed citations

5.

Mathew, E., et al.. (2003). Cytosolic delivery of antisense oligonucleotides by listeriolysin O-containing liposomes. Gene Therapy. 10(13). 1105–1115. 37 indexed citations

6.

Mathew, E., et al.. (2000). A novel point mutation in CD18 causing the expression of dysfunctional CD11/CD18 leucocyte integrins in a patient with leucocyte adhesion deficiency (LAD). Clinical & Experimental Immunology. 121(1). 133–138. 48 indexed citations

7.

Zhi, Jizu, E. Mathew, & Martin Freundlich. (1998). In vitro and in vivo characterization of three major dadAX promoters in Escherichia coli that are regulated by cyclic AMP-CRP and Lrp. Molecular and General Genetics MGG. 258(4). 442–447. 11 indexed citations

8.

Mathew, E., Jizu Zhi, & Martin Freundlich. (1996). Lrp is a direct repressor of the dad operon in Escherichia coli. Journal of Bacteriology. 178(24). 7234–7240. 36 indexed citations

9.

Freundlich, Martin, et al.. (1992). The role of integration host factor In gene expression in Escherichia coli. Molecular Microbiology. 6(18). 2557–2563. 153 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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