Daniel Baur

1.2k citations
41 papers · 924 · h-index 15

Impact in

Papers in

    • Muscle metabolism and nutrition 12
    • Protein purification and stability 7
    • Viral Infectious Diseases and Gene Expression in Insects 5

Daniel Baur

40 papers receiving 888 citations

Peers

Daniel Baur
Comparison fields: 5 of 97
  • Rehabilitation 96
  • Cell Biology 251
  • Orthopedics and Sports Medicine 84
  • Complementary and alternative medicine 71
  • Radiology, Nuclear Medicine and Imaging 159
Replace Sui Chen with:
Sui Chen China
Sandeep Gopalakrishnan United States
Sanjoy Deb India
W. S. Barnes United States
Jie Luo China
R. Karba Slovenia
David Taylor United States
Cheng‐San Yang Taiwan
Ivan Corazza Italy
Raphael Zender Germany
Daniel Baur relative to Sui Chen China Sui Chen's profile →
Citations per field
00.5×10×16×
Sui Chen · 1×
Citations per year

Countries citing papers authored by Daniel Baur

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Baur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015121
2 2016105
3 2014101
4 201577
5 201658
6 201450
7 201840
8 201829
9 201429
10 201527
11 201625
12 201525
13 201621
14 201417
15 202016
16 201614
17 201814
18 201612
19 201812
20 201912

About Daniel Baur

Daniel Baur is a scholar working on Cell Biology, Molecular Biology, Information Systems, Computer Networks and Communications and Physiology, having authored 41 papers that have together received 924 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (12 papers), Cloud Computing and Resource Management (8 papers), Protein purification and stability (7 papers), Software System Performance and Reliability (5 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Diet and metabolism studies (5 papers), Chromatography in Natural Products (4 papers) and Exercise and Physiological Responses (4 papers). The work is most often cited by research in Rehabilitation (96 citations), Cell Biology (251 citations), Orthopedics and Sports Medicine (84 citations), Complementary and alternative medicine (71 citations) and Radiology, Nuclear Medicine and Imaging (159 citations). Daniel Baur has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include Michael J. Ormsbee, Massimo Morbidelli, Thomas Müller‐Späth, Michael Saunders, Geert Lissens, Fabian Steinebach, Jörg Domaschka, Maria T. Spicer, Paul J. Arciero and Scott Connelly. Their work appears in journals such as European Journal of Applied Physiology, Journal of Chromatography A, Medicine & Science in Sports & Exercise, Nutrients and Biotechnology Journal.

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.

Explore authors with similar magnitude of impact