Michael L. McCaleb

71 papers receiving 2.8k citations

Peers

Michael L. McCaleb
Comparison fields: 5 of 103
  • Endocrine and Autonomic Systems 593
  • Cellular and Molecular Neuroscience 809
  • Behavioral Neuroscience 108
  • Reproductive Medicine 144
  • Physiology 402
Replace H. Wieland with:
H. Wieland Germany
Marlene A. Jacobson United States
Ronald M. Burch United States
Manjula Mahata United States
Hagit Eldar-Finkelman Israel
Canan G. Nebigil France
Chiyoko Inagaki Japan
J.C. Schwartz France
Nicole Gallo‐Payet Canada
Mark E. Olah United States
Michael L. McCaleb relative to H. Wieland Germany H. Wieland's profile →
Citations per field
00.5×3.7×
H. Wieland · 1×
Citations per year

Countries citing papers authored by Michael L. McCaleb

Since Specialization
Citations

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

Fields of papers citing papers by Michael L. McCaleb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996249
2 2000235
3 1996202
4 1992171
5 1995145
6 1996142
7 2018102
8 201587
9 199685
10 197982
11 198079
12 198079
13 198577
14 199971
15 201768
16 199164
17 201356
18 199852
19 197949
20 198149

About Michael L. McCaleb

Michael L. McCaleb is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Endocrine and Autonomic Systems and Epidemiology, having authored 72 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Receptor Mechanisms and Signaling (8 papers), Regulation of Appetite and Obesity (8 papers), Neuropeptides and Animal Physiology (7 papers), Diet and metabolism studies (6 papers), Muscle metabolism and nutrition (5 papers), Liver Disease Diagnosis and Treatment (5 papers) and Renal Diseases and Glomerulopathies (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (593 citations), Cellular and Molecular Neuroscience (809 citations), Behavioral Neuroscience (108 citations), Reproductive Medicine (144 citations) and Physiology (402 citations). Michael L. McCaleb has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include R.D. Myers, Lynn B. DeCarr, Linda J. Cornfield, Janet Sredy, Paul Gregor, Yun Feng, Kurt Steiner, Kenneth L. Kees, John J. Fitzgerald and D H Lockwood. Their work appears in journals such as Journal of Medicinal Chemistry, Investigative Ophthalmology & Visual Science, Journal of Hepatology, Journal of the American Society of Nephrology and Journal of Clinical Investigation.

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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