T. Schmidt‐Glenewinkel

1.0k citations
25 papers · 891 indexed · h-index 14
Topics
Polyamine Metabolism and Applications (8 papers)Amino Acid Enzymes and Metabolism (6 papers)DNA and Nucleic Acid Chemistry (4 papers)

In The Last Decade

T. Schmidt‐Glenewinkel

25 papers receiving 843 citations

Peers

T. Schmidt‐Glenewinkel
Comparison fields: 5 of 86
  • Molecular Biology 632
  • Cellular and Molecular Neuroscience 200
  • Biochemistry 130
  • Cell Biology 92
  • Pharmacology 89
Replace M.S. Kanungo with:
M.S. Kanungo India
Rosalba I. Fonteríz Spain
Rajindar S. Sohal United States
Melissa Vos United States
Kanae Iijima‐Ando United States
Serge Birman France
Jane H. Chin United States
J.L. Werth United States
Tsukasa Kusakizako Japan
David R. Schubert United States
T. Schmidt‐Glenewinkel relative to M.S. Kanungo India M.S. Kanungo's profile →
Citations per field
00.5×2.8×
M.S. Kanungo · 1×
Citations per year

Countries citing papers authored by T. Schmidt‐Glenewinkel

Since Specialization
Citations

This map shows the geographic impact of T. Schmidt‐Glenewinkel'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 T. Schmidt‐Glenewinkel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Schmidt‐Glenewinkel more than expected).

Fields of papers citing papers by T. Schmidt‐Glenewinkel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Schmidt‐Glenewinkel. 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 T. Schmidt‐Glenewinkel. The network helps show where T. Schmidt‐Glenewinkel may publish in the future.

Co-authorship network of co-authors of T. Schmidt‐Glenewinkel

This figure shows the co-authorship network connecting the top 25 collaborators of T. Schmidt‐Glenewinkel. A scholar is included among the top collaborators of T. Schmidt‐Glenewinkel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T. Schmidt‐Glenewinkel. T. Schmidt‐Glenewinkel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 91
2 2
3 85
4 128
5 12
6 101
7 4
8 3
9 3
10 17
11 8
12 2
13 10
14 22
15 33
16 41
17 26
18 46
19 65
20 106

About T. Schmidt‐Glenewinkel

T. Schmidt‐Glenewinkel is a scholar working on Biochemistry, Clinical Biochemistry and Molecular Biology, having authored 25 papers that have together received 891 indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (8 papers), Amino Acid Enzymes and Metabolism (6 papers) and DNA and Nucleic Acid Chemistry (4 papers). The work is most often cited by research in Aging (57 citations), Biochemistry (130 citations) and Cellular and Molecular Neuroscience (200 citations). T. Schmidt‐Glenewinkel has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Maria E. Figueiredo‐Pereira, Ezio Giacobini, Nikolaus Seiler, Yasuyuki Nomura, Lisette Arnaud, Peter Serrano, Patricia Rockwell, Markus Affolter, Leslie Pick and W J Gehring. Their work appears in journals such as Journal of Biological Chemistry, Genes & Development and The FASEB Journal.

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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