Daniel Hunziker

39 total papers · 1.4k total citations
19 papers, 1.1k citations indexed

About

Daniel Hunziker is a scholar working on Molecular Biology, Organic Chemistry and Pharmacology. According to data from OpenAlex, Daniel Hunziker has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Organic Chemistry and 5 papers in Pharmacology. Recurrent topics in Daniel Hunziker's work include Carbohydrate Chemistry and Synthesis (5 papers), Microbial Natural Products and Biosynthesis (5 papers) and Peptidase Inhibition and Analysis (4 papers). Daniel Hunziker is often cited by papers focused on Carbohydrate Chemistry and Synthesis (5 papers), Microbial Natural Products and Biosynthesis (5 papers) and Peptidase Inhibition and Analysis (4 papers). Daniel Hunziker collaborates with scholars based in Switzerland, United States and Australia. Daniel Hunziker's co-authors include Chaitan Khosla, David E. Cane, Rajesh S. Gokhale, Albert K. Beck, Yan Ming Wang, Dietmar A. Plattner, Dieter Seebàch, W. Petter, Christian Scheurer and Yuxiang Dong and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Microbiology.

In The Last Decade

Daniel Hunziker

19 papers receiving 1.1k citations

Hit Papers

Identification of an anti... 2004 2026 2011 2018 2004 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Hunziker 448 410 350 238 176 19 1.1k
Maniyan P. Padmanilayam 502 1.1× 293 0.7× 421 1.2× 94 0.4× 197 1.1× 12 1.1k
Bryan K. S. Yeung 347 0.8× 329 0.8× 425 1.2× 97 0.4× 144 0.8× 33 1.0k
Yuanqing Tang 735 1.6× 360 0.9× 689 2.0× 119 0.5× 294 1.7× 28 1.5k
Regina Ortmann 360 0.8× 480 1.2× 342 1.0× 164 0.7× 164 0.9× 38 940
Dejan Opsenica 701 1.6× 366 0.9× 347 1.0× 95 0.4× 262 1.5× 50 1.3k
Heinrich Urwyler 383 0.9× 329 0.8× 687 2.0× 141 0.6× 260 1.5× 13 1.3k
Gregory A. Reichard 599 1.3× 543 1.3× 327 0.9× 127 0.5× 52 0.3× 37 1.4k
Yasheen Zhou 616 1.4× 416 1.0× 80 0.2× 122 0.5× 81 0.5× 25 1.1k
David Camp 676 1.5× 462 1.1× 72 0.2× 277 1.2× 95 0.5× 40 1.3k
Tae‐gyu Nam 349 0.8× 402 1.0× 277 0.8× 64 0.3× 174 1.0× 45 1.4k

Countries citing papers authored by Daniel Hunziker

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hunziker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Hunziker

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Hunziker. A scholar is included among the top collaborators of Daniel Hunziker 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 Daniel Hunziker. Daniel Hunziker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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