Jan Rüger

591 citations
24 papers · 430 · h-index 12

Impact in

Papers in

    • Spectroscopy Techniques in Biomedical and Chemical Research 13
    • Cell Image Analysis Techniques 2
    • Spectroscopy and Chemometric Analyses 7

Jan Rüger

23 papers receiving 415 citations

Peers

Jan Rüger
Comparison fields: 5 of 96
  • Biophysics 232
  • Analytical Chemistry 153
  • Biomedical Engineering 136
  • Clinical Biochemistry 14
  • History 20
Replace Gregory McLaughlin with:
Gregory McLaughlin United States
Mian Wei United States
Filippo Barni Italy
Nigel Watson United Kingdom
Danny van Lierop United Kingdom
Cristina Viganó Switzerland
Avik Mukherjee United States
Jan Palacký Czechia
Christian Dusny Germany
Heleen Meuzelaar Netherlands
Jan Rüger relative to Gregory McLaughlin United States Gregory McLaughlin's profile →
Citations per field
00.5×4.7×
Gregory McLaughlin · 1×
Citations per year

Countries citing papers authored by Jan Rüger

Since Specialization
Citations

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

Fields of papers citing papers by Jan Rüger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201784
2 201748
3 202046
4 202041
5 201932
6 201628
7 201422
8 201920
9 201919
10 202012
11 201911
12 200411
13 201810
14 201010
15 20118
16 20098
17 20197
18
The Great Naval Game: Britain and Germany in the Age of Empire
20075
19 20143
20 20152

About Jan Rüger

Jan Rüger is a scholar working on Biophysics, Analytical Chemistry, Biomedical Engineering, Molecular Biology and Sociology and Political Science, having authored 24 papers that have together received 430 indexed citations. Recurring topics across this work include Spectroscopy Techniques in Biomedical and Chemical Research (13 papers), Spectroscopy and Chemometric Analyses (7 papers), World Wars: History, Literature, and Impact (3 papers), European Political History Analysis (2 papers), Microfluidic and Bio-sensing Technologies (2 papers), Biosensors and Analytical Detection (2 papers), Cell Image Analysis Techniques (2 papers) and Australian History and Society (2 papers). The work is most often cited by research in Biophysics (232 citations), Analytical Chemistry (153 citations), Biomedical Engineering (136 citations), Clinical Biochemistry (14 citations) and History (20 citations). Jan Rüger has collaborated with scholars based in Germany, United Kingdom and Bulgaria. Frequent co-authors include Jürgen Popp, Iwan W. Schie, Christoph Krafft, Ute Neugebauer, Anuradha Ramoji, Clara Stiebing, Michael Schmitt, Thomas Henkel, Karina Weber and Eike Brunner. Their work appears in journals such as The Analyst, Analytical Chemistry, Journal of Biophotonics, Algal Research and Journal of Modern European History.

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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