Nadin Neuhauser

6.7k citations
6 papers · 4.7k indexed · 1 hit paper · h-index 6
Topics
Advanced Proteomics Techniques and Applications (6 papers)Metabolomics and Mass Spectrometry Studies (2 papers)Machine Learning in Bioinformatics (2 papers)

In The Last Decade

Nadin Neuhauser

6 papers receiving 4.7k citations

Hit Papers

Andromeda: A Peptide Search Engine Integrated into the Ma...2011202620162021201110002.0k3.0k4.0k

Peers

Nadin Neuhauser
Comparison fields: 5 of 136
  • Molecular Biology 3.4k
  • Spectroscopy 1.3k
  • Cell Biology 521
  • Immunology 448
  • Oncology 379
Replace José A. Dianes with:
José A. Dianes United Kingdom
Igor Paron Italy
Bernd Thiede Norway
Mathias Walzer Germany
Annette Michalski Germany
Christian A. Luber Germany
Jeffrey C. Silva United States
Barbara Frewen United States
Nicholas Shulman United States
Richard A. Scheltema Netherlands
Nadin Neuhauser relative to José A. Dianes United Kingdom José A. Dianes's profile →
Citations per field
00.5×
José A. Dianes · 1×
Citations per year

Countries citing papers authored by Nadin Neuhauser

Since Specialization
Citations

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

Fields of papers citing papers by Nadin Neuhauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadin Neuhauser

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 25
2 53
3 95
4
Andromeda: A Peptide Search Engine Integrated into the MaxQuant Environmentbreakdown →
4114
5 328
6 114

About Nadin Neuhauser

Nadin Neuhauser is a scholar working on Spectroscopy, Signal Processing and Molecular Biology, having authored 6 papers that have together received 4.7k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (6 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Spectroscopy (1.3k citations), Molecular Biology (3.4k citations) and Cell Biology (521 citations). Nadin Neuhauser has collaborated with scholars based in Germany, United Kingdom and Denmark. Frequent co-authors include Matthias Mann, Jürgen Cox, Annette Michalski, Jesper V. Olsen, Richard A. Scheltema, Nagarjuna Nagaraj, Jüergen Cox, Ole Vorm, Nils A. Kulak and Lyris Martins Franco de Godoy. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Proteome Research and PROTEOMICS.

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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