Kai Kammers

2.6k citations
46 papers · 1.2k · h-index 19

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 2
    • Metabolomics and Mass Spectrometry Studies 2
    • Breast Cancer Treatment Studies 10

Kai Kammers

46 papers receiving 1.2k citations

Peers

Kai Kammers
Comparison fields: 5 of 104
  • Otorhinolaryngology 97
  • Cancer Research 271
  • Cardiology and Cardiovascular Medicine 114
  • Molecular Biology 363
  • Oncology 130
Replace Gregory Tudor with:
Gregory Tudor United Kingdom
Helen Valentine United Kingdom
Alexander M. Tseng United States
Akira Fukao Japan
R Keijzer Netherlands
Hitoshi Inoue Japan
Bernard Gregory United Kingdom
A. Shamseddine United States
Tetsuya Kitamura Japan
Hoang C.B. Nguyen United States
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Citations per field
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Citations per year

Countries citing papers authored by Kai Kammers

Since Specialization
Citations

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

Fields of papers citing papers by Kai Kammers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015201
2 201381
3 201580
4 201574
5 201563
6 201763
7 201460
8 201554
9 202340
10 201838
11 201637
12 202132
13 202128
14 201628
15 201825
16 201524
17 201920
18 201920
19 201120
20 201817

About Kai Kammers

Kai Kammers is a scholar working on Molecular Biology, Cancer Research, Otorhinolaryngology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (10 papers), Head and Neck Cancer Studies (5 papers), Advanced Proteomics Techniques and Applications (3 papers), HIV Research and Treatment (3 papers), Glycosylation and Glycoproteins Research (2 papers), Cardiovascular Effects of Exercise (2 papers), Cancer Diagnosis and Treatment (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Otorhinolaryngology (97 citations), Cancer Research (271 citations), Cardiology and Cardiovascular Medicine (114 citations), Molecular Biology (363 citations) and Oncology (130 citations). Kai Kammers has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Robert N. Cole, Wilfried Budach, Christiane Matuschek, Ingo Ruczinski, Edwin Bölke, Calvin Tiengwe, Peter Arne Gerber, Klaus Orth, Edwin Boelke and Carolin Nestle-Krämling. Their work appears in journals such as Radiation Oncology, Strahlentherapie und Onkologie, Radiotherapy and Oncology, Cancers and Journal of Clinical Oncology.

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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