Hendrik Weisser

37 total papers · 4.8k total citations
18 papers, 559 citations indexed

About

Hendrik Weisser is a scholar working on Molecular Biology, Spectroscopy and Cancer Research. According to data from OpenAlex, Hendrik Weisser has authored 18 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Spectroscopy and 3 papers in Cancer Research. Recurrent topics in Hendrik Weisser's work include Advanced Proteomics Techniques and Applications (9 papers), Mass Spectrometry Techniques and Applications (4 papers) and Machine Learning in Bioinformatics (3 papers). Hendrik Weisser is often cited by papers focused on Advanced Proteomics Techniques and Applications (9 papers), Mass Spectrometry Techniques and Applications (4 papers) and Machine Learning in Bioinformatics (3 papers). Hendrik Weisser collaborates with scholars based in United Kingdom, United States and Switzerland. Hendrik Weisser's co-authors include Jyoti S. Choudhary, Ruedi Aebersold, Oliver Kohlbacher, Andreas Quandt, Lars Malmström, Jonas Grossmann, Erhan Kenar, Sven Nahnsen, Marc Sturm and Lars Nilse and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Hendrik Weisser

18 papers receiving 551 citations

Author Peers

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

Author Last Decade Papers Cites
Hendrik Weisser 383 204 59 37 36 18 559
Pey Yee Lee 358 0.9× 191 0.9× 48 0.8× 29 0.8× 63 1.8× 18 530
Bo Xu 342 0.9× 203 1.0× 26 0.4× 16 0.4× 41 1.1× 28 608
Henrik Lindberg 360 0.9× 141 0.7× 30 0.5× 17 0.5× 32 0.9× 19 591
Guadalupe Espadas 424 1.1× 113 0.6× 34 0.6× 24 0.6× 39 1.1× 21 576
Gabriela V. Cohen Freue 355 0.9× 221 1.1× 47 0.8× 35 0.9× 43 1.2× 19 663
Georgia Arentz 326 0.9× 195 1.0× 58 1.0× 13 0.4× 61 1.7× 23 589
Deanna L. Plubell 255 0.7× 109 0.5× 73 1.2× 47 1.3× 19 0.5× 16 600
Jorge Fernández-de-Cossío 432 1.1× 217 1.1× 37 0.6× 13 0.4× 53 1.5× 27 621
Veronika Vidová 399 1.0× 298 1.5× 37 0.6× 9 0.2× 33 0.9× 19 689
Sung Kyu Robin Park 399 1.0× 114 0.6× 22 0.4× 10 0.3× 23 0.6× 16 597

Countries citing papers authored by Hendrik Weisser

Since Specialization
Citations

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

Fields of papers citing papers by Hendrik Weisser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hendrik Weisser

This figure shows the co-authorship network connecting the top 25 collaborators of Hendrik Weisser. A scholar is included among the top collaborators of Hendrik Weisser 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 Hendrik Weisser. Hendrik Weisser 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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