E. Bachmann

24 papers receiving 948 citations

Peers

E. Bachmann
Comparison fields: 5 of 101
  • Clinical Biochemistry 209
  • Biochemistry 101
  • Molecular Biology 760
  • Physiology 267
  • Biophysics 52
Replace JB Chappell with:
JB Chappell United Kingdom
John Mowbray United Kingdom
Clinton D. Stoner United States
E.Jack Davis United States
Archie L. Smith United States
Elena N. MOKHOVA Russia
R. K. Emaus United States
Hiroshi Akanuma Japan
Samuel H.P. Chan United States
Andrew D. Beavis United States
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Citations per year

Countries citing papers authored by E. Bachmann

Since Specialization
Citations

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

Fields of papers citing papers by E. Bachmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside E. Bachmann, 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 E. Bachmann Line = papers co-authored together E. Bachmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1966180
2 1964148
3 1963131
4 1967117
5 196296
6 196887
7 196668
8 197565
9 196653
10 197138
11 197932
12
STUDIES ON IRON TRANSPORT. V. RESTORATION OF THE ADENOSINE TRIPHOSPHATE-SUPPORTED ACCUMULATION OF CA++ IN AGED HEART MITOCHONDRIA.
196429
13 196419
14 197917
15
Effects of mitoxantrone and doxorubicin on energy metabolism of the rat heart.
198714
16 198712
17 19849
18 19786
19 19705
20 19703

About E. Bachmann

E. Bachmann is a scholar working on Physiology, Clinical Biochemistry, Molecular Biology, Cardiology and Cardiovascular Medicine and Biophysics, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (7 papers), Biochemical effects in animals (6 papers), Adipose Tissue and Metabolism (5 papers), Cardiac electrophysiology and arrhythmias (3 papers), Ion channel regulation and function (3 papers), Muscle metabolism and nutrition (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Clinical Biochemistry (209 citations), Biochemistry (101 citations), Molecular Biology (760 citations), Physiology (267 citations) and Biophysics (52 citations). E. Bachmann has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include D.E. Green, Gerald P. Brierley, David W. Allmann, Erik Homann Mürer, G. Zbinden, Elisabeth Weber, James F. Perdue, L. Golberg, NANETTE ROBERTS ORME-JOHNSON and Krystyna C. Kopaczyk. Their work appears in journals such as Archives of Biochemistry and Biophysics, Journal of Biological Chemistry, Experimental and Molecular Pathology, Biochemical Pharmacology and Proceedings of the National Academy of 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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