Andreas Peter

3.3k citations
86 papers · 1.4k · h-index 21

Impact in

  • Hematology top 10%
    • Iron Metabolism and Disorders
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

Andreas Peter

80 papers receiving 1.3k citations

Peers

Andreas Peter
Comparison fields: 5 of 115
  • Hematology 129
  • Infectious Diseases 157
  • Obstetrics and Gynecology 56
  • Endocrinology, Diabetes and Metabolism 106
  • Molecular Biology 461
Replace Pier Paolo Sainaghi with:
Pier Paolo Sainaghi Italy
Tiffany Thomas United States
Jamie L. Renbarger United States
Stephen I‐Hong Hsu United States
Anders Mälarstig Sweden
Donald Giacherio United States
Ann M. Moyer United States
Ryan Owen United States
Conny Bakker Netherlands
Antonio Picardi Italy
Andreas Peter relative to Pier Paolo Sainaghi Italy Pier Paolo Sainaghi's profile →
Citations per field
00.5×1.5×2.1×
Pier Paolo Sainaghi · 1×
Citations per year

Countries citing papers authored by Andreas Peter

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Peter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013223
2 202195
3 200172
4 200169
5 201360
6 201439
7 201939
8 201837
9 201936
10 202234
11 201832
12 201131
13 202030
14 202129
15 202029
16 201928
17 202026
18 202325
19 198324
20 201423

About Andreas Peter

Andreas Peter is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Cancer Research and Infectious Diseases, having authored 86 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (8 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Cancer, Lipids, and Metabolism (7 papers), Diabetes and associated disorders (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Adipose Tissue and Metabolism (5 papers), COVID-19 Clinical Research Studies (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Hematology (129 citations), Infectious Diseases (157 citations), Obstetrics and Gynecology (56 citations), Endocrinology, Diabetes and Metabolism (106 citations) and Molecular Biology (461 citations). Andreas Peter has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Rainer Lehmann, Christian F. Poets, Guowang Xu, Axel R. Franz, Laila Lorenz, Sebastian Hörber, Xinjie Zhao, Peiyuan Yin, Hans‐Ulrich Häring and Holger Franken. Their work appears in journals such as Diabetes, Neonatology, Clinical Chemistry, Molecular Metabolism and International Journal of Obesity.

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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