Charles H. Lang

20.7k citations
398 papers · 14.7k indexed · h-index 68
Topics
Muscle metabolism and nutrition (84 papers)Muscle Physiology and Disorders (70 papers)Growth Hormone and Insulin-like Growth Factors (67 papers)

In The Last Decade

Charles H. Lang

393 papers receiving 14.4k citations

Peers

Charles H. Lang
Comparison fields: 5 of 147
  • Molecular Biology 6.1k
  • Physiology 4.5k
  • Cell Biology 3.2k
  • Endocrinology, Diabetes and Metabolism 3.0k
  • Epidemiology 2.6k
Replace Josef Pfeilschifter with:
Josef Pfeilschifter Germany
Naji N. Abumrad United States
Thomas C. Vary United States
Scot R. Kimball United States
Leonard S. Jefferson United States
Anton J. M. Wagenmakers Netherlands
Peter Schjerling Denmark
Joseph G. Cannon United States
Elena Volpi United States
Angelika Bierhaus Germany
Charles H. Lang relative to Josef Pfeilschifter Germany Josef Pfeilschifter's profile →
Citations per field
00.5×1.5×2.1×
Josef Pfeilschifter · 1×
Citations per year

Countries citing papers authored by Charles H. Lang

Since Specialization
Citations

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

Fields of papers citing papers by Charles H. Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles H. Lang. 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 Charles H. Lang. The network helps show where Charles H. Lang may publish in the future.

Co-authorship network of co-authors of Charles H. Lang

This figure shows the co-authorship network connecting the top 25 collaborators of Charles H. Lang. A scholar is included among the top collaborators of Charles H. Lang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Charles H. Lang. Charles H. Lang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 5
3 36
4 3
5 25
6 14
7 0
8 5
9 30
10 85
11 20
12 76
13 35
14 10
15 4
16 5
17
Effects of verapamil and ouabain on myocardial dysfunction during high-output sepsis
1
18 39
19
Hemodynamic and metabolic effects of glucose-insulin-potassium (GIK) treatment of endotoxic shock in dogs and baboons
1
20
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About Charles H. Lang

Charles H. Lang is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology and Rehabilitation, having authored 398 papers that have together received 14.7k indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (84 papers), Muscle Physiology and Disorders (70 papers) and Growth Hormone and Insulin-like Growth Factors (67 papers). The work is most often cited by research in Rehabilitation (1.5k citations), Cell Biology (3.2k citations) and Endocrinology, Diabetes and Metabolism (3.0k citations). Charles H. Lang has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Robert A. Frost, Thomas C. Vary, Gerald J. Nystrom, Jennifer L. Steiner, G. J. Bagby, J. J. Spitzer, Leonard S. Jefferson, Jie Fan, Marie C. Gelato and Gregory J. Bagby. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and PLoS ONE.

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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