Natalie Baecker

1.4k citations
27 papers · 620 · h-index 16

Impact in

Papers in

Natalie Baecker

27 papers receiving 596 citations

Peers

Natalie Baecker
Comparison fields: 5 of 89
  • Orthopedics and Sports Medicine 166
  • Physiology 404
  • Nephrology 50
  • Aging 10
  • Cell Biology 93
Replace G Wolfram with:
G Wolfram Germany
Emmanuel M. Awumey United States
Irene E. Schauer United States
Corey R. Hart United States
Ali Asmar Denmark
Sathit Niramitmahapanya Thailand
Shumpei Fujie Japan
Naoki Horii Japan
Raj K. Krishnan United States
H.K. Nielsen Denmark
Natalie Baecker relative to G Wolfram Germany G Wolfram's profile →
Citations per field
00.5×7.2×
G Wolfram · 1×
Citations per year

Countries citing papers authored by Natalie Baecker

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Baecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200378
2 200862
3 200859
4 200947
5
Sclerostin and DKK1 levels during 14 and 21 days of bed rest in healthy young men.
201342
6 200741
7 201540
8 201936
9 201132
10 200826
11 200526
12 200523
13 200920
14 201719
15 201417
16 201116
17 202113
18 20156
19 20185
20 20233

About Natalie Baecker

Natalie Baecker is a scholar working on Physiology, Orthopedics and Sports Medicine, Nephrology, Cell Biology and Nutrition and Dietetics, having authored 27 papers that have together received 620 indexed citations. Recurring topics across this work include Spaceflight effects on biology (12 papers), Bone health and osteoporosis research (7 papers), Nutrition and Health in Aging (5 papers), Renal function and acid-base balance (4 papers), Muscle metabolism and nutrition (4 papers), Medical and Biological Ozone Research (3 papers), Anesthesia and Neurotoxicity Research (3 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (166 citations), Physiology (404 citations), Nephrology (50 citations), Aging (10 citations) and Cell Biology (93 citations). Natalie Baecker has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Martina Heer, Petra Frings‐Meuthen, Scott M. Smith, R. Gerzer, Sara R. Zwart, Claudia Mika, Peter Stehle, Linda Shackelford, Jörn Rittweger and Aleksandra Tomić. Their work appears in journals such as Journal of Applied Physiology, The FASEB Journal, Journal of Bone and Mineral Research, Acta Astronautica and Nutrition.

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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