P. Thamm

607 citations
9 papers · 496 · h-index 9

Impact in

    • Cellular transport and secretion
    • Biotin and Related Studies
    • Metabolism, Diabetes, and Cancer
    • Receptor Mechanisms and Signaling
    • Lipid Membrane Structure and Behavior
    • Protein Kinase Regulation and GTPase Signaling

Papers in

P. Thamm

9 papers receiving 425 citations

Peers

P. Thamm
Comparison fields: 5 of 67
  • Cell Biology 108
  • Molecular Biology 342
  • Endocrine and Autonomic Systems 32
  • Endocrinology, Diabetes and Metabolism 74
  • Biochemistry 30
Replace Clement W.T. Yeung with:
Clement W.T. Yeung Canada
James S. Brush United States
Norbert I. Swislocki United States
Tsuneki Sakakibara Japan
R J Khan Canada
Beth Lincoln United States
John A. Mitchell United States
E.A. Park United States
Jacqueline Beaudoin United States
K T Yu United States
P. Thamm relative to Clement W.T. Yeung Canada Clement W.T. Yeung's profile →
Citations per field
00.5×1.5×
Clement W.T. Yeung · 1×
Citations per year

Countries citing papers authored by P. Thamm

Since Specialization
Citations

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

Fields of papers citing papers by P. Thamm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside P. Thamm, 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 P. Thamm Line = papers co-authored together P. Thamm links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1982121
2 198286
3 198082
4 198269
5 198549
6 198037
7 198220
8 198117
9 198015

About P. Thamm

P. Thamm is a scholar working on Cell Biology, Organic Chemistry, Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 9 papers that have together received 496 indexed citations. Recurring topics across this work include Biotin and Related Studies (5 papers), Click Chemistry and Applications (3 papers), Pancreatic function and diabetes (2 papers), Analytical Chemistry and Chromatography (2 papers), Lipid metabolism and biosynthesis (2 papers), Diet, Metabolism, and Disease (1 paper), Diabetes Management and Research (1 paper) and Effects and risks of endocrine disrupting chemicals (1 paper). The work is most often cited by research in Cell Biology (108 citations), Molecular Biology (342 citations), Endocrine and Autonomic Systems (32 citations), Endocrinology, Diabetes and Metabolism (74 citations) and Biochemistry (30 citations). P. Thamm has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include D. Brandenburg, D. Saunders, Dietrich Brandenburg, Lelio Orci, P Freychet, J L Carpentier, Max Fehlmann, Derek Saunders, Paulos Berhanu and Martin H. Wisher. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology, Endocrinology, Diabetes and FEBS Letters.

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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