W. Schroeder

49 papers receiving 497 citations

Peers

W. Schroeder
Comparison fields: 5 of 120
  • Complementary and alternative medicine 40
  • Numerical Analysis 23
  • Biochemistry 24
  • Molecular Biology 247
  • Internal Medicine 13
Replace Stuart M. Humphrey with:
Stuart M. Humphrey New Zealand
David Jensen United States
Yasutoshi Ohta Japan
Ben Nie United States
Reginald A. Shipley United States
Wayne Liu United States
Yannick J.H.J. Taverne Netherlands
Meixiang Chen China
Yifan Cheng China
Kauno U. Laiho Finland
W. Schroeder relative to Stuart M. Humphrey New Zealand Stuart M. Humphrey's profile →
Citations per field
00.5×6.5×
Stuart M. Humphrey · 1×
Citations per year

Countries citing papers authored by W. Schroeder

Since Specialization
Citations

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

Fields of papers citing papers by W. Schroeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995112
2 196874
3 199361
4 197434
5 197627
6 197317
7 197714
8 197514
9 196612
10 195911
11 197611
12 196311
13
[Studies on 17-ketosteroid excretion in normal and pathological conditions].
195510
14 20009
15
[Effect of training on the muscle blood flow and heart rate].
19688
16 19538
17 19618
18 19708
19 19547
20 19537

About W. Schroeder

W. Schroeder is a scholar working on Surgery, Molecular Biology, Complementary and alternative medicine, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 57 papers that have together received 564 indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (7 papers), Peripheral Artery Disease Management (6 papers), Diabetic Foot Ulcer Assessment and Management (3 papers), Muscle metabolism and nutrition (3 papers), Biomedical and Chemical Research (3 papers), Pain Management and Treatment (3 papers), Veterinary Equine Medical Research (3 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Complementary and alternative medicine (40 citations), Numerical Analysis (23 citations), Biochemistry (24 citations), Molecular Biology (247 citations) and Internal Medicine (13 citations). W. Schroeder has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Г. Ренгер, E. M. L. Beale, Johannes Messinger, Christiane Funk, Staffan E. Tjus, Bertil Andersson, A. Napiwotzki, A. M. Ehrly, Ernesto G. Bade and Hajo Delius. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, European Journal of Endocrinology, European Journal of Applied Physiology, Naunyn-Schmiedeberg s Archives of Pharmacology and Graefe s Archive for Clinical and Experimental Ophthalmology.

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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