Philipp T. Kaulich

509 total citations
23 papers, 346 citations indexed

About

Philipp T. Kaulich is a scholar working on Spectroscopy, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Philipp T. Kaulich has authored 23 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Spectroscopy, 14 papers in Molecular Biology and 4 papers in Biomedical Engineering. Recurrent topics in Philipp T. Kaulich's work include Advanced Proteomics Techniques and Applications (21 papers), Mass Spectrometry Techniques and Applications (18 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Philipp T. Kaulich is often cited by papers focused on Advanced Proteomics Techniques and Applications (21 papers), Mass Spectrometry Techniques and Applications (18 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Philipp T. Kaulich collaborates with scholars based in Germany, Japan and United Kingdom. Philipp T. Kaulich's co-authors include Andreas Tholey, Liam Cassidy, Ruth A. Schmitz, Jürgen Bartel, Nobuaki Takemori, Ayako Takemori, Sandra Maaß, Dörte Becher, Andreas O. Helbig and Kyowon Jeong and has published in prestigious journals such as Angewandte Chemie International Edition, Analytical Chemistry and Nature Methods.

In The Last Decade

Philipp T. Kaulich

21 papers receiving 342 citations

Peers

Philipp T. Kaulich
Comparison fields: 5 of 48
  • Molecular Biology 252
  • Spectroscopy 180
  • Biomedical Engineering 34
  • Ecology 19
  • Genetics 17
Replace Lauren Fields with:
Lauren Fields United States
Colin Wynne United States
Rachel Miller United States
Martin E. Boehm Germany
Edward J. Takach United States
Patricia Hernandez Switzerland
Denis Shutin United Kingdom
Anneliese M. Faustino United States
Daniel L. Winter Australia
Ronghui Lou China
Lauren Fields United States View profile →
Citations per field, relative to Philipp T. Kaulich
Philipp T. Kaulich · 1×
Citations per year, relative to Philipp T. Kaulich
Philipp T. Kaulich · 1×

Countries citing papers authored by Philipp T. Kaulich

Since Specialization
Citations

This map shows the geographic impact of Philipp T. Kaulich'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 Philipp T. Kaulich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp T. Kaulich more than expected).

Fields of papers citing papers by Philipp T. Kaulich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philipp T. Kaulich. 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 Philipp T. Kaulich. The network helps show where Philipp T. Kaulich may publish in the future.

Co-authorship network of co-authors of Philipp T. Kaulich

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 2
3 0
4 0
5 2
6 1
7 17
8 4
9 8
10 3
11 18
12 8
13 20
14 25
15 6
16 40
17 41
18 44
19 11
20 33

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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