C. Parthier

1.5k citations
33 papers · 1.2k · h-index 18

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 4
    • Heat shock proteins research 3
    • Biochemical Acid Research Studies 4
    • Amino Acid Enzymes and Metabolism 4

C. Parthier

31 papers receiving 1.2k citations

Peers

C. Parthier
Comparison fields: 5 of 97
  • Biochemistry 211
  • Cellular and Molecular Neuroscience 262
  • Clinical Biochemistry 93
  • Molecular Biology 789
  • Endocrinology, Diabetes and Metabolism 175
Replace Masatoshi Murai with:
Masatoshi Murai Japan
Malea M. Kneen United States
Victoria Magrioti Greece
G. Verner United States
Adam B. Weinglass United States
Dean A. Malencik United States
Steven C. Koerber United States
Thorsten Brach Germany
Danny Manor United States
Derek P. Claxton United States
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Citations per field
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Masatoshi Murai · 1×
Citations per year

Countries citing papers authored by C. Parthier

Since Specialization
Citations

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

Fields of papers citing papers by C. Parthier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007204
2 2009167
3 200794
4 201088
5 201272
6 201161
7 201461
8 201254
9 201446
10 201844
11 201039
12 201030
13 201527
14 201127
15 201525
16 201725
17 200523
18 201322
19 202014
20 201014

About C. Parthier

C. Parthier is a scholar working on Molecular Biology, Biochemistry, Materials Chemistry, Cellular and Molecular Neuroscience and Oncology, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Enzyme Structure and Function (8 papers), Glycosylation and Glycoproteins Research (4 papers), Biochemical Acid Research Studies (4 papers), Amino Acid Enzymes and Metabolism (4 papers), Computational Drug Discovery Methods (4 papers), Heat shock proteins research (3 papers), Alzheimer's disease research and treatments (3 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Biochemistry (211 citations), Cellular and Molecular Neuroscience (262 citations), Clinical Biochemistry (93 citations), Molecular Biology (789 citations) and Endocrinology, Diabetes and Metabolism (175 citations). C. Parthier has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Milton T. Stubbs, Rainer Rudolph, Steffen Reedtz‐Runge, Kai Tittmann, Piotr Neumann, Hans‐Ulrich Demuth, Jens‐Ulrich Rahfeld, Martin Kleinschmidt, Dagmar Schlenzig and Jörg Fanghänel. Their work appears in journals such as Biochemistry, Journal of Molecular Biology, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biological Chemistry.

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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