Angelika B. Harbauer

1.6k citations
21 papers · 1.1k indexed · h-index 12
    • Metabolism and Genetic Disorders 7
  • Aging top 10%
    • Mitochondrial Function and Pathology 16
    • Ubiquitin and proteasome pathways 4
    • ATP Synthase and ATPases Research 3
    • RNA Research and Splicing 3
    • Nuclear Structure and Function 2
    • RNA modifications and cancer 2
  • Cell Biology top 10%
    • Autophagy in Disease and Therapy 10

Angelika B. Harbauer

20 papers receiving 1.1k citations

Peers

Angelika B. Harbauer
Comparison fields: 5 of 88
  • Clinical Biochemistry 205
  • Aging 25
  • Molecular Biology 921
  • Cell Biology 146
  • Epidemiology 195
Replace Christoph U. Mårtensson with:
Christoph U. Mårtensson Germany
Karolina Szczepanowska Germany
Luke E. Formosa Australia
Atsuko Kasahara Japan
Susana Peralta United States
F. Schütt Germany
Denis Vecellio Reane Italy
Cristina Cerqua Italy
Hyo Min Cho South Korea
Teresa Rizza Italy
Angelika B. Harbauer relative to Christoph U. Mårtensson Germany Christoph U. Mårtensson's profile →
Citations per field
00.5×10×20×25.7×
Christoph U. Mårtensson · 1×
Citations per year

Countries citing papers authored by Angelika B. Harbauer

Since Specialization
Citations

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

Fields of papers citing papers by Angelika B. Harbauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angelika B. Harbauer. 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 Angelika B. Harbauer. The network helps show where Angelika B. Harbauer may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20247
4 202412
5 202311
6 20222
7 202290
8 202229
9 20226
10 20225
11 20229
12 202110
13 202162
14 201718
15 2014308
16 2014106
17 201377
18 201262
19 2011190
20 201128

About Angelika B. Harbauer

Angelika B. Harbauer is a scholar working on Clinical Biochemistry, Molecular Biology and Epidemiology, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (16 papers), Autophagy in Disease and Therapy (10 papers), Metabolism and Genetic Disorders (7 papers), Ubiquitin and proteasome pathways (4 papers), ATP Synthase and ATPases Research (3 papers), RNA Research and Splicing (3 papers), Nuclear Structure and Function (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Clinical Biochemistry (205 citations), Aging (25 citations) and Molecular Biology (921 citations). Angelika B. Harbauer has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Chris Meisinger, Nikolaus Pfanner, René P. Zahedi, Albert Sickmann, Sanjana Rao, Oliver Schmidt, Bernard Guiard, Birgit Schönfisch, Carolin Gerbeth and Ghazaleh Ashrafi. Their work appears in journals such as Science, Cell and Journal of the American Chemical Society.

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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