Daniel Meibom

697 citations
14 papers · 404 · h-index 10

Impact in

  • Physiology top 10%
    • Adenosine and Purinergic Signaling
    • Multiple Myeloma Research and Treatments

Papers in

    • Protein Degradation and Inhibitors 5
    • Ubiquitin and proteasome pathways 3
    • Receptor Mechanisms and Signaling 3
    • Asymmetric Synthesis and Catalysis 2

Daniel Meibom

14 papers receiving 391 citations

Peers

Daniel Meibom
Comparison fields: 5 of 52
  • Physiology 33
  • Hematology 52
  • Oncology 119
  • Molecular Biology 301
  • Organic Chemistry 59
Replace Julia M. Wagner with:
Julia M. Wagner Germany
Sarah A. Dorwin United States
Junfei Cheng China
Terence C. S. Ho United Kingdom
Yuran Qiu China
L. Anders Svensson Denmark
Alex H. Y. Chan United Kingdom
Herwig Pongratz Germany
Tammy C. Wang United States
Lynsey Fazal United Kingdom
Daniel Meibom relative to Julia M. Wagner Germany Julia M. Wagner's profile →
Citations per field
00.5×11.9×
Julia M. Wagner · 1×
Citations per year

Countries citing papers authored by Daniel Meibom

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Meibom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2020128
2 202289
3 201743
4 201528
5 202328
6 202421
7 202317
8 199615
9 201811
10 20259
11 20227
12 20093
13 20033
14 20232

About Daniel Meibom

Daniel Meibom is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Hematology and Pathology and Forensic Medicine, having authored 14 papers that have together received 404 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (5 papers), Ubiquitin and proteasome pathways (3 papers), Peptidase Inhibition and Analysis (3 papers), Multiple Myeloma Research and Treatments (3 papers), Receptor Mechanisms and Signaling (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Adenosine and Purinergic Signaling (2 papers) and Asymmetric Synthesis and Catalysis (2 papers). The work is most often cited by research in Physiology (33 citations), Hematology (52 citations), Oncology (119 citations), Molecular Biology (301 citations) and Organic Chemistry (59 citations). Daniel Meibom has collaborated with scholars based in Germany, Sweden and Norway. Frequent co-authors include Jan Kihlberg, Vasanthanathan Poongavanam, Máté Erdélyi, Anja Giese, Yoseph Atilaw, Lutz Lehmann, Duy Nguyen, Stephan Siegel, Ekkehard Winterfeldt and Raimund Kast. Their work appears in journals such as Journal of Medicinal Chemistry, ChemMedChem, ACS Medicinal Chemistry Letters, European Journal of Medicinal Chemistry and ACS Omega.

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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