John A. Maga

520 total citations
7 papers, 399 citations indexed

About

John A. Maga is a scholar working on Public Health, Environmental and Occupational Health, Physiology and Molecular Biology. According to data from OpenAlex, John A. Maga has authored 7 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Public Health, Environmental and Occupational Health, 3 papers in Physiology and 2 papers in Molecular Biology. Recurrent topics in John A. Maga's work include Lysosomal Storage Disorders Research (3 papers), Glycogen Storage Diseases and Myoclonus (2 papers) and Research on Leishmaniasis Studies (2 papers). John A. Maga is often cited by papers focused on Lysosomal Storage Disorders Research (3 papers), Glycogen Storage Diseases and Myoclonus (2 papers) and Research on Leishmaniasis Studies (2 papers). John A. Maga collaborates with scholars based in United States, Canada and United Kingdom. John A. Maga's co-authors include Jonathan H. LeBowitz, Jeffrey H. Grubb, William S. Sly, Deborah H. Schmiel, Carole Vogler, Trevor Sherwin, Keith Gull, Geoffrey Y. Berguig, Christa L. Cortesio and Vikas Bhat and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

John A. Maga

7 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John A. Maga United States	7	182	137	121	114	54	7	399
Edwin A. Saada United States	14	305 1.7×	50 0.4×	379 3.1×	67 0.6×	195 3.6×	17	613
Gerasimos Langousis United States	10	198 1.1×	54 0.4×	337 2.8×	74 0.6×	166 3.1×	12	471
Uta Gölnitz Germany	8	113 0.6×	219 1.6×	123 1.0×	41 0.4×	78 1.4×	9	536
Komla Sobo Switzerland	8	257 1.4×	93 0.7×	114 0.9×	33 0.3×	26 0.5×	10	540
Nadesan Gajendran Switzerland	11	302 1.7×	30 0.2×	79 0.7×	34 0.3×	71 1.3×	14	451
Ana Quintas Spain	9	169 0.9×	58 0.4×	59 0.5×	66 0.6×	20 0.4×	17	662
Kazuhiro Takimoto Japan	10	200 1.1×	272 2.0×	146 1.2×	59 0.5×	19 0.4×	16	502
Natalie Wiedemar Switzerland	12	181 1.0×	17 0.1×	131 1.1×	158 1.4×	130 2.4×	23	485
Alan Howell United States	12	165 0.9×	38 0.3×	355 2.9×	33 0.3×	60 1.1×	20	757
Petra Mühl-Zürbes Germany	15	210 1.2×	21 0.2×	214 1.8×	48 0.4×	21 0.4×	27	650

Countries citing papers authored by John A. Maga

Since Specialization

Citations

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

Fields of papers citing papers by John A. Maga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John A. Maga. 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 John A. Maga. The network helps show where John A. Maga may publish in the future.

Co-authorship network of co-authors of John A. Maga

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

All Works

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7 of 7 papers shown

1.

Berguig, Geoffrey Y., et al.. (2021). Comprehensive characterization and quantification of adeno associated vectors by size exclusion chromatography and multi angle light scattering. Scientific Reports. 11(1). 3012–3012. 91 indexed citations

2.

Maga, John A., Ravi Kambampati, Susan Peng, et al.. (2012). Glycosylation-independent Lysosomal Targeting of Acid α-Glucosidase Enhances Muscle Glycogen Clearance in Pompe Mice. Journal of Biological Chemistry. 288(3). 1428–1438. 78 indexed citations

3.

LeBowitz, Jonathan H., Jeffrey H. Grubb, John A. Maga, et al.. (2004). Glycosylation-independent targeting enhances enzyme delivery to lysosomes and decreases storage in mucopolysaccharidosis type VII mice. Proceedings of the National Academy of Sciences. 101(9). 3083–3088. 75 indexed citations

4.

Li, Jiangning, John A. Maga, Nicolas Cermakian, Robert Cedergren, & Jean E. Feagin. (2001). Identification and characterization of a Plasmodium falciparum RNA polymerase gene with similarity to mitochondrial RNA polymerases. Molecular and Biochemical Parasitology. 113(2). 261–269. 30 indexed citations

5.

Maga, John A. & Jonathan H. LeBowitz. (1999). Unravelling the kinetoplastid paraflagellar rod. Trends in Cell Biology. 9(10). 409–413. 44 indexed citations

6.

Maga, John A., et al.. (1999). Genetic dissection of the Leishmania paraflagellar rod, a unique flagellar cytoskeleton structure. Journal of Cell Science. 112(16). 2753–2763. 55 indexed citations

7.

Maga, John A., Giovanni Widmer, & Jonathan H. LeBowitz. (1995). Leishmania RNA Virus 1-Mediated Cap-Independent Translation. Molecular and Cellular Biology. 15(9). 4884–4889. 26 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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