Mark J Magera

2.3k citations
25 papers · 1.8k · h-index 19

Impact in

Papers in

Mark J Magera

25 papers receiving 1.7k citations

Peers

Mark J Magera
Comparison fields: 5 of 99
  • Clinical Biochemistry 768
  • Biochemistry 184
  • Rheumatology 371
  • Endocrinology, Diabetes and Metabolism 252
  • Pediatrics, Perinatology and Child Health 286
Replace V. G. Oberholzer with:
V. G. Oberholzer United Kingdom
Luis Aldámiz‐Echevarría Spain
Kevin Carpenter Australia
Sabrina Malvagia Italy
Hironori Nagasaka Japan
Anthony J. Barak United States
H.J. ten Brink Netherlands
D. Stansbie United Kingdom
Jon A. Gangoiti United States
Fernando Andrade Spain
Mark J Magera relative to V. G. Oberholzer United Kingdom V. G. Oberholzer's profile →
Citations per field
00.5×10×13×
V. G. Oberholzer · 1×
Citations per year

Countries citing papers authored by Mark J Magera

Since Specialization
Citations

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

Fields of papers citing papers by Mark J Magera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark J Magera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark J Magera Line = papers co-authored together Mark J Magera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001207
2 2004168
3 2003146
4 1999144
5 2001140
6 2004122
7 2008108
8 2010103
9 200091
10 200889
11 200156
12 201556
13 200555
14 200653
15
Diagnosis of adrenal cortical dysfunction by liquid chromatography-tandem mass spectrometry.
200148
16 201446
17 200546
18 200124
19 200118
20 200217

About Mark J Magera

Mark J Magera is a scholar working on Clinical Biochemistry, Molecular Biology, Rheumatology, Physiology and Biochemistry, having authored 25 papers that have together received 1.8k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (14 papers), Amino Acid Enzymes and Metabolism (6 papers), Folate and B Vitamins Research (5 papers), Neonatal Health and Biochemistry (4 papers), Diet and metabolism studies (4 papers), Sexual Differentiation and Disorders (3 papers), Pregnancy and preeclampsia studies (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Clinical Biochemistry (768 citations), Biochemistry (184 citations), Rheumatology (371 citations), Endocrinology, Diabetes and Metabolism (252 citations) and Pediatrics, Perinatology and Child Health (286 citations). Mark J Magera has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Piero Rinaldo, Dietrich Matern, Jean M. Lacey, Silvia Tortorelli, Devin Oglesbee, Joseph P. McConnell, Si Houn Hahn, Bruno Casetta, Susan A. Lagerstedt and Kimiyo Raymond. Their work appears in journals such as Clinical Chemistry, Molecular Genetics and Metabolism, Blood, Journal of Inherited Metabolic Disease and Cardiovascular Research.

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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