Markus Bach

576 citations
8 papers · 495 · h-index 7

Impact in

  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism
  • Epidemiology top 10%
    • Autophagy in Disease and Therapy

Papers in

    • Ubiquitin and proteasome pathways 1
    • Mitochondrial Function and Pathology 1
    • Drug Transport and Resistance Mechanisms 3

Markus Bach

8 papers receiving 487 citations

Peers

Markus Bach
Comparison fields: 5 of 74
  • Physiology 51
  • Epidemiology 218
  • Clinical Biochemistry 46
  • Biochemistry 41
  • Pharmacology 43
Replace Samuel Kelly with:
Samuel Kelly United States
Christine Yang Australia
A Sillero Spain
F Dubois Belgium
Masaaki Funata Japan
Myung‐Min Choi South Korea
Stuart Gillies United Kingdom
E.A. Park United States
Markus Bach relative to Samuel Kelly United States Samuel Kelly's profile →
Citations per field
00.5×7.7×
Samuel Kelly · 1×
Citations per year

Countries citing papers authored by Markus Bach

Since Specialization
Citations

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

Fields of papers citing papers by Markus Bach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Markus Bach, 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 Markus Bach Line = papers co-authored together Markus Bach links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2011213
2 201381
3 200871
4 201546
5 200740
6 200925
7 201415
8 20204

About Markus Bach

Markus Bach is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Epidemiology and Pharmacology, having authored 8 papers that have together received 495 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Autophagy in Disease and Therapy (2 papers), Neuroscience and Neural Engineering (1 paper), Ubiquitin and proteasome pathways (1 paper), Alzheimer's disease research and treatments (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Physiology (51 citations), Epidemiology (218 citations), Clinical Biochemistry (46 citations), Biochemistry (41 citations) and Pharmacology (43 citations). Markus Bach has collaborated with scholars based in Germany, Australia and Switzerland. Frequent co-authors include Georg Ramm, Mark Larance, David E. James, Dirk Gründemann, Edgar Schömig, Benjamin Scott Padman, Christian Fork, Mark Prescott, Stefan Gölz and Andreas Geerts. Their work appears in journals such as Biochemical Journal, FEBS Journal, Drug Metabolism and Disposition, Biochimica et Biophysica Acta (BBA) - Biomembranes and Free Radical Biology and Medicine.

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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