Max H. Cake

48 papers receiving 1.1k citations

Peers

Max H. Cake
Comparison fields: 5 of 95
  • Behavioral Neuroscience 101
  • Endocrinology, Diabetes and Metabolism 251
  • Clinical Biochemistry 95
  • Genetics 341
  • Biochemistry 85
Replace Paolo Luly with:
Paolo Luly Italy
Caleb B. Kallen United States
Raymond F. Aten United States
C. Sumida France
Fred R. Butcher United States
P. Pradelles France
Fabiana Cornejo Maciel Argentina
Michael W. Kilgore United States
Hirotoshi Fuda Japan
Daniel J. Hryb United States
Max H. Cake relative to Paolo Luly Italy Paolo Luly's profile →
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Citations per year

Countries citing papers authored by Max H. Cake

Since Specialization
Citations

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

Fields of papers citing papers by Max H. Cake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977174
2 1978168
3 1977122
4 1976103
5 199955
6 197555
7 199440
8 198132
9 197832
10 199130
11 198030
12 197328
13 199727
14 198127
15 197524
16 197822
17 196921
18 197819
19 199617
20 198915

About Max H. Cake

Max H. Cake is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Aquatic Science and Surgery, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (10 papers), Aquaculture Nutrition and Growth (9 papers), Physiological and biochemical adaptations (7 papers), Metabolism and Genetic Disorders (7 papers), Pancreatic function and diabetes (6 papers), Diet, Metabolism, and Disease (5 papers), Fish Ecology and Management Studies (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Behavioral Neuroscience (101 citations), Endocrinology, Diabetes and Metabolism (251 citations), Clinical Biochemistry (95 citations), Genetics (341 citations) and Biochemistry (85 citations). Max H. Cake has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Gerald Litwack, L. Gerald Parchman, Dennis M. DiSorbo, Peter Hartmann, I. C. Potter, I.T. Oliver, Kevin P. Dolan, D.J. Macey, George C. Yeoh and Ivan T. Oliver. Their work appears in journals such as Biochemical Journal, Biochemical and Biophysical Research Communications, European Journal of Biochemistry, Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology and American Journal of Physiology-Lung Cellular and Molecular Physiology.

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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