Robin Lachmann

164 papers receiving 8.7k citations

Robin Lachmann's Hit Papers

Identification and Assessment of Anderson-Fabry Disease by Cardiovascular Magnetic Resonance Noncontrast Myocardial T1 Mapping 2013 · 408 citations
4080+5+11Years since publication250500750

Peers

Robin Lachmann
Comparison fields: 5 of 126
  • Physiology 4.1k
  • Clinical Biochemistry 931
  • Nephrology 678
  • Cell Biology 1.2k
  • Rheumatology 867
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Dominique Paul Germain France
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Countries citing papers authored by Robin Lachmann

Since Specialization
Citations

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

Fields of papers citing papers by Robin Lachmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robin Lachmann, 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 Robin Lachmann Line = papers co-authored together Robin Lachmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 172 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mipomersen, an apolipoprotein B synthesis inhibitor, for lowering of LDL cholesterol concentrations in patients with homozygous familial hypercholesterolaemia: a randomised, double-blind, placebo-controlled trial
Hit paper breakdown →
2010779
2 2000634
3
Glucocerebrosidase mutations in clinical and pathologically proven Parkinson's disease
Hit paper breakdown →
2009591
4
Identification and Assessment of Anderson-Fabry Disease by Cardiovascular Magnetic Resonance Noncontrast Myocardial T1 Mapping
Hit paper breakdown →
2013408
5 2016305
6 2015294
7 2012285
8 2018279
9 2004206
10 2015196
11 2014159
12 2004132
13 2016132
14 2019132
15 2017131
16 2004127
17 2018124
18 2011116
19 2018113
20 2012104

About Robin Lachmann

Robin Lachmann is a scholar working on Physiology, Clinical Biochemistry, Rheumatology, Epidemiology and Molecular Biology, having authored 172 papers that have together received 9.0k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (76 papers), Metabolism and Genetic Disorders (31 papers), Glycogen Storage Diseases and Myoclonus (15 papers), Mitochondrial Function and Pathology (14 papers), Trypanosoma species research and implications (14 papers), Herpesvirus Infections and Treatments (11 papers), Cellular transport and secretion (10 papers) and Carbohydrate Chemistry and Synthesis (10 papers). The work is most often cited by research in Physiology (4.1k citations), Clinical Biochemistry (931 citations), Nephrology (678 citations), Cell Biology (1.2k citations) and Rheumatology (867 citations). Robin Lachmann has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Elaine Murphy, Frances M. Platt, Derralynn A. Hughes, Timothy Martin Cox, Stacey Efstathiou, Raymond Allen Dwek, Terry D. Butters, Carla E. M. Hollak, Atul B Mehta and Perry Mark Elliott. Their work appears in journals such as Journal of Inherited Metabolic Disease, Molecular Genetics and Metabolism, Orphanet Journal of Rare Diseases, Journal of General Virology and The Lancet.

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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