Stefan Kolb

3.9k citations
59 papers · 2.8k indexed · 1 hit paper · h-index 25

Impact in

    • Electrospun Nanofibers in Biomedical Applications
  • Physiology top 5%
    • Lysosomal Storage Disorders Research

Papers in

Stefan Kolb

59 papers receiving 2.7k citations

Hit Papers

CEUR workshop proceedings 2021 · 486 citations
4862021202620222024100200300400

Peers

Stefan Kolb
Comparison fields: 5 of 192
  • Biomaterials 339
  • Physiology 538
  • Hematology 187
  • Virology 72
  • Immunology 279
Replace Ioannis S. Vlachos with:
Ioannis S. Vlachos Greece
Paul J. Williams United States
Dong Wang China
Min Jae Lee South Korea
Simon N. Waddington United Kingdom
Chien‐Wen Chen Taiwan
Steve Goodison United States
Andreas Möller Australia
Andrzej Maćkiewicz Poland
David Abraham United Kingdom
Stefan Kolb relative to Ioannis S. Vlachos Greece Ioannis S. Vlachos's profile →
Citations per field
00.5×4.8×
Ioannis S. Vlachos · 1×
Citations per year

Countries citing papers authored by Stefan Kolb

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Kolb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20219
2 20194
3 20196
4 201615
5
Nucleus - Unified Deployment and Management for Platform as a Service
20163
6 201622
7
The Niemann-Pick Disease Type C Suspicion Index: Development of a New Tool to Aid Diagnosis
201512
8 2013101
9 200816
10 200732
11 200218
12 20025
13 20023
14 200191
15 20017
16 200029
17 200061
18 199885
19 199814
20 19976

About Stefan Kolb

Stefan Kolb is a scholar working on Microbiology, Hematology, Physiology, Psychiatry and Mental health and Information Systems, having authored 59 papers that have together received 2.8k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (15 papers), Cloud Computing and Resource Management (8 papers), Autoimmune and Inflammatory Disorders Research (7 papers), Family and Disability Support Research (7 papers), Software System Performance and Reliability (5 papers), Child Nutrition and Feeding Issues (4 papers), Tissue Engineering and Regenerative Medicine (4 papers) and IoT and Edge/Fog Computing (4 papers). The work is most often cited by research in Biomaterials (339 citations), Physiology (538 citations), Hematology (187 citations), Virology (72 citations) and Immunology (279 citations). Stefan Kolb has collaborated with scholars based in Switzerland, Germany and Spain. Frequent co-authors include Johannes Manner, Oliver Kopp, Stephan Haarmann, Nico Herzberg, Stefan G. Ruehm, Claire Corot, Peter Vogt, Jörg F. Debatin, A. Fontana and Fritz Lahrtz. Their work appears in journals such as Molecular Genetics and Metabolism, Orphanet Journal of Rare Diseases, Circulation, The FASEB Journal and Journal of Neuroimmunology.

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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