Thomas J. Siepmann

474 citations
5 papers · 409 · h-index 4

Impact in

    • Ubiquitin and proteasome pathways
    • Protein Degradation and Inhibitors
    • Glycosylation and Glycoproteins Research
    • Cancer-related Molecular Pathways
    • Peptidase Inhibition and Analysis

Papers in

    • Ubiquitin and proteasome pathways 4
    • Cancer-related gene regulation 1
    • Protein Degradation and Inhibitors 1
    • Protein purification and stability 1
    • Glycosylation and Glycoproteins Research 1
    • Cancer-related Molecular Pathways 2

Thomas J. Siepmann

4 papers receiving 404 citations

Peers

Thomas J. Siepmann
Comparison fields: 5 of 51
  • Molecular Biology 376
  • Oncology 120
  • Cell Biology 71
  • Parasitology 16
  • Aging 4
Replace Barbara Kapelari with:
Barbara Kapelari Germany
Kurt M. Reichermeier United States
Shun‐Jia Chen Taiwan
Andrea Voigt Germany
Wolfgang Uerkvitz Denmark
Michael Podgorski United States
Sabine Wenzel United States
A.G. Murachelli Netherlands
Kyle A. Nordquist United States
Jianmei Zhu United States
Thomas J. Siepmann relative to Barbara Kapelari Germany Barbara Kapelari's profile →
Citations per field
00.5×1.5×1.9×
Barbara Kapelari · 1×
Citations per year

Countries citing papers authored by Thomas J. Siepmann

Since Specialization
Citations

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

Fields of papers citing papers by Thomas J. Siepmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas J. Siepmann. 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 Thomas J. Siepmann. The network helps show where Thomas J. Siepmann may publish in the future.

Co-authors

The 10 scholars most cited alongside Thomas J. Siepmann, 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 Thomas J. Siepmann Line = papers co-authored together Thomas J. Siepmann links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 1997266
2 200370
3 201148
4 200125
5
The use of N-(2-mercaptopropionyl)-glycine (MPG) for preparation and storage of platelets.
19880

About Thomas J. Siepmann

Thomas J. Siepmann is a scholar working on Molecular Biology, Oncology, Genetics, Epidemiology and Biochemistry, having authored 5 papers that have together received 409 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Cancer-related Molecular Pathways (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Cancer-related gene regulation (1 paper), Protein Degradation and Inhibitors (1 paper), Protein purification and stability (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Autophagy in Disease and Therapy (1 paper). The work is most often cited by research in Molecular Biology (376 citations), Oncology (120 citations), Cell Biology (71 citations), Parasitology (16 citations) and Aging (4 citations). Thomas J. Siepmann has collaborated with scholars based in United States and Germany. Frequent co-authors include Arthur L. Haas, Richard N. Bohnsack, Jennifer M. Klein, Frederick C. Streich, Brajesh Kumar, Rita Crinelli, P. Kleinert, Gianpiero Pescarmona, Ingrid E. Bergmann and U Till. Their work appears in journals such as Journal of Biological Chemistry, The FASEB Journal and PubMed.

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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