Elisabeth Altmaier

5.5k citations
17 papers · 2.1k indexed · 1 hit paper · h-index 15
Topics
Metabolomics and Mass Spectrometry Studies (9 papers)Diet and metabolism studies (4 papers)Genetic Associations and Epidemiology (3 papers)

In The Last Decade

Elisabeth Altmaier

17 papers receiving 2.1k citations

Hit Papers

A genome-wide perspective of genetic variation in human m...20092026201420202009100200300400

Peers

Elisabeth Altmaier
Comparison fields: 5 of 112
  • Molecular Biology 1.5k
  • Physiology 606
  • Genetics 440
  • Epidemiology 291
  • Public Health, Environmental and Occupational Health 166
Replace Werner Römisch‐Margl with:
Werner Römisch‐Margl Germany
Miriam Hoene Germany
Michelle Arlotto United States
Dmitry Grapov United States
Mary E. Rabaglia United States
Debra C. DuBois United States
Kevin Huynh Australia
Gema Medina‐Gómez Spain
Michał Ciborowski Poland
Magda Bictash United Kingdom
Elisabeth Altmaier relative to Werner Römisch‐Margl Germany Werner Römisch‐Margl's profile →
Citations per field
00.5×1.5×
Werner Römisch‐Margl · 1×
Citations per year

Countries citing papers authored by Elisabeth Altmaier

Since Specialization
Citations

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

Fields of papers citing papers by Elisabeth Altmaier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabeth Altmaier

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 6
2 32
3 27
4 9
5 61
6 56
7 89
8 35
9 442
10 57
11 65
12 60
13 44
14
A genome-wide perspective of genetic variation in human metabolismbreakdown →
475
15 96
16 92
17 489

About Elisabeth Altmaier

Elisabeth Altmaier is a scholar working on Biological Psychiatry, Physiology and Pharmacology, having authored 17 papers that have together received 2.1k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (9 papers), Diet and metabolism studies (4 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Physiology (606 citations), Biological Psychiatry (58 citations) and Molecular Biology (1.5k citations). Elisabeth Altmaier has collaborated with scholars based in Germany, United States and Qatar. Frequent co-authors include Karsten Suhre, Jerzy Adamski, Thomas Illig, Christian Gieger, Hans‐Werner Mewes, Klaus M. Weinberger, Florian Kronenberg, Martin Hrabě de Angelis, Gabi Kastenmüller and Thomas Meitinger. Their work appears in journals such as Nature Genetics, PLoS ONE and Endocrinology.

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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