Ulf Schaefer

7.8k citations
23 papers · 1.3k · h-index 16

Impact in

Papers in

    • Bioinformatics and Genomic Networks 4
    • Genomics and Phylogenetic Studies 3
    • Genomics and Chromatin Dynamics 3
    • Cancer-related molecular mechanisms research 4
    • MicroRNA in disease regulation 3

Ulf Schaefer

23 papers receiving 1.3k citations

Peers

Ulf Schaefer
Comparison fields: 5 of 98
  • Endocrinology 190
  • Microbiology 160
  • Molecular Medicine 95
  • Food Science 236
  • Immunology 235
Replace Amit Lahiri with:
Amit Lahiri India
Terry Kwok Australia
Roman Halter Germany
L E Martin United States
Mahendrasingh Ramjeet Canada
Peter Stanley United Kingdom
J Y Homma Japan
Adrianus W. M. van der Velden United States
Howard Brickner United States
C. Garrett Miyada United States
Ulf Schaefer relative to Amit Lahiri India Amit Lahiri's profile →
Citations per field
00.5×3.3×
Amit Lahiri · 1×
Citations per year

Countries citing papers authored by Ulf Schaefer

Since Specialization
Citations

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

Fields of papers citing papers by Ulf Schaefer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008278
2 2016174
3 2012162
4 2016104
5 201884
6 201777
7 201173
8 201573
9 200963
10 200836
11 201129
12 201826
13 200925
14 201921
15 201119
16 200817
17 201715
18 201113
19 202112
20 201210

About Ulf Schaefer

Ulf Schaefer is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health and Molecular Medicine, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Bioinformatics and Genomic Networks (4 papers), MicroRNA in disease regulation (3 papers), Salmonella and Campylobacter epidemiology (3 papers), Genomics and Phylogenetic Studies (3 papers), Genomics and Chromatin Dynamics (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Cystic Fibrosis Research Advances (2 papers). The work is most often cited by research in Endocrinology (190 citations), Microbiology (160 citations), Molecular Medicine (95 citations), Food Science (236 citations) and Immunology (235 citations). Ulf Schaefer has collaborated with scholars based in United Kingdom, Saudi Arabia and South Africa. Frequent co-authors include Vladimir B. Bajić, Timothy J. Dallman, Rediat Tewolde, Claire Jenkins, Sebastian Schmeier, Yulia A. Medvedeva, Yoshihide Hayashizaki, Alan Christoffels, Philip Ashton and Artem S. Kasianov. Their work appears in journals such as PeerJ, Journal of Clinical Microbiology, Journal of Medical Microbiology, BMC Genomics and Nucleic Acids Research.

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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