Markus Kaufmann

795 citations
21 papers · 489 indexed · h-index 15

Markus Kaufmann

21 papers receiving 475 citations

Peers

Markus Kaufmann
Comparison fields: 5 of 100
  • Molecular Biology 335
  • Cell Biology 68
  • Biochemistry 24
  • Energy Engineering and Power Technology 7
  • Biophysics 12
Replace Carol L. Ladner-Keay with:
Carol L. Ladner-Keay Canada
Walter R. P. Novak United States
Deqiang Yao China
Elizabeth A. Blackburn United Kingdom
Michael F. Bailey Australia
Michał Majkowski Poland
Carien Dekker United Kingdom
Nikoletta Murvai Hungary
Patricia Dranchak United States
Yuyong Tao China
Markus Kaufmann relative to Carol L. Ladner-Keay Canada Carol L. Ladner-Keay's profile →
Citations per field
00.5×1.5×
Carol L. Ladner-Keay · 1×
Citations per year

Countries citing papers authored by Markus Kaufmann

Since Specialization
Citations

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

Fields of papers citing papers by Markus Kaufmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Hydrogen Valleys. Insights Into the Emerging Hydrogen Economies Around the World
202116
2 201912
3 201614
4 20163
5 201615
6 201569
7 201421
8 201413
9 201437
10 201121
11 201024
12 200922
13 20073
14 20062
15 200432
16 200367
17 200241
18 200232
19 200017
20 19921

About Markus Kaufmann

Markus Kaufmann is a scholar working on Energy Engineering and Power Technology, Biochemistry, Molecular Biology, Materials Chemistry and Organic Chemistry, having authored 21 papers that have together received 489 indexed citations. Recurring topics across this work include Enzyme Structure and Function (7 papers), Biochemical and Molecular Research (5 papers), Amino Acid Enzymes and Metabolism (2 papers), Porphyrin Metabolism and Disorders (2 papers), Click Chemistry and Applications (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Molecular Biology (335 citations), Cell Biology (68 citations), Biochemistry (24 citations), Energy Engineering and Power Technology (7 citations) and Biophysics (12 citations). Markus Kaufmann has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Markus G. Grütter, Teresa B. Fitzpatrick, Reinhard Madlener, Sandra W. Cowan‐Jacob, Anthony Anselmo, Wilhelm Stark, Cyril Moccand, Amanda Cobos‐Correa, E. Schwinger and Sven Opitz. Their work appears in journals such as Journal of Biological Chemistry, Acta Crystallographica Section D Structural Biology, SLAS DISCOVERY, FEBS Letters and Acta Crystallographica Section C Crystal Structure Communications.

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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