L. Doerr

44 papers receiving 1.4k citations

Peers

L. Doerr
Comparison fields: 5 of 114
  • Animal Science and Zoology 545
  • Cell Biology 302
  • Molecular Biology 595
  • Physiology 200
  • Cardiology and Cardiovascular Medicine 164
Replace W. Buchheim with:
W. Buchheim Germany
Timothy S. Moerland United States
Klaus D. Jürgens Germany
Peter T. Anderson United States
George A. Edwards United States
G.S.G. Spencer New Zealand
A V Somlyo United States
H. Y. Elder United Kingdom
Darl R. Swartz United States
Phillip H. Smith United States
L. Doerr relative to W. Buchheim Germany W. Buchheim's profile →
Citations per field
00.5×10×12.6×
W. Buchheim · 1×
Citations per year

Countries citing papers authored by L. Doerr

Since Specialization
Citations

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

Fields of papers citing papers by L. Doerr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971179
2 1971173
3 1972156
4 2007141
5 1972109
6 1973108
7 197294
8 197352
9 197151
10 197841
11 200740
12
Comparative aspects of muscle fiber types in fetuses of the normal and "double-muscled" cattle.
197439
13 201438
14 197034
15 197333
16 196830
17 200130
18 201725
19 197825
20 200524

About L. Doerr

L. Doerr is a scholar working on Molecular Biology, Materials Chemistry, Cellular and Molecular Neuroscience, Mechanics of Materials and Physiology, having authored 44 papers that have together received 1.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (12 papers), Fusion materials and technologies (11 papers), Muon and positron interactions and applications (8 papers), Neuroscience and Neural Engineering (8 papers), Adipose Tissue and Metabolism (7 papers), Muscle metabolism and nutrition (5 papers), Meat and Animal Product Quality (5 papers) and Cardiac electrophysiology and arrhythmias (4 papers). The work is most often cited by research in Animal Science and Zoology (545 citations), Cell Biology (302 citations), Molecular Biology (595 citations), Physiology (200 citations) and Cardiology and Cardiovascular Medicine (164 citations). L. Doerr has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include C. R. Ashmore, Geoffrey R. Tompkins, P. B. Addis, William B. Parker, M. Glugla, P. V. Rattray, Helen Stokes, David W. Robinson, I. Cristescu and F. D. Carroll. Their work appears in journals such as Experimental Neurology, Journal of Animal Science, Fusion Engineering and Design, Biophysical Journal and International Journal of Molecular Sciences.

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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