Martin E. Baumdick

539 citations
6 papers · 146 · h-index 4

Impact in

    • Cellular transport and secretion
    • HER2/EGFR in Cancer Research
    • Cancer Cells and Metastasis

Papers in

    • Cellular transport and secretion 2
    • Microtubule and mitosis dynamics 1
    • Wound Healing and Treatments 1

Martin E. Baumdick

5 papers receiving 146 citations

Peers

Martin E. Baumdick
Comparison fields: 5 of 53
  • Cell Biology 33
  • Oncology 42
  • Structural Biology 2
  • Molecular Biology 91
  • Cellular and Molecular Neuroscience 23
Replace Laura M. McDonell with:
Laura M. McDonell Canada
Petra Sekyrová Sweden
Larissa Rakhilina United States
Heike Goehler Germany
Tyler D. Hitchman United States
Patricia Biasutto Netherlands
Devon R. Blake United States
Samantha M. Hill United States
Ke Jiang China
Tehmina Masud United States
Martin E. Baumdick relative to Laura M. McDonell Canada Laura M. McDonell's profile →
Citations per field
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Citations per year

Countries citing papers authored by Martin E. Baumdick

Since Specialization
Citations

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

Fields of papers citing papers by Martin E. Baumdick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin E. Baumdick. 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 Martin E. Baumdick. The network helps show where Martin E. Baumdick may publish in the future.

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 201552
2 201837
3 201828
4 202128
5 20251
6 20240

About Martin E. Baumdick

Martin E. Baumdick is a scholar working on Cell Biology, Rehabilitation, Oncology, Genetics and Molecular Biology, having authored 6 papers that have together received 146 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (2 papers), Cellular transport and secretion (2 papers), Protein Tyrosine Phosphatases (2 papers), Microtubule and mitosis dynamics (1 paper), Glycosylation and Glycoproteins Research (1 paper), Wound Healing and Treatments (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Cell Biology (33 citations), Oncology (42 citations), Structural Biology (2 citations), Molecular Biology (91 citations) and Cellular and Molecular Neuroscience (23 citations). Martin E. Baumdick has collaborated with scholars based in Germany, United Kingdom and Sweden. Frequent co-authors include Philippe I. H. Bastiaens, Jason W. Chin, Yannick Brüggemann, Lloyd Davis, Georgia Xouri, Ola Sabet, Renée Schreurs, Madeleine J. Bunders, Agata Drewniak and Malte Schmick. Their work appears in journals such as eLife, Nature Communications, Trends in Immunology, British Journal of Pharmacology and Cell Systems.

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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