Carol L. McLaughlin
- Cellular and Molecular Neuroscience top 5%
- Endocrine and Autonomic Systems top 2%
- Molecular Biology
- Physiology
- Animal Science and Zoology top 5%
- Co-authors
- Clifton A. BaileMary Anne Della‐FeraDavid A. SackVoravit SuwanvanichkijBarry R. KomisarukJohn W. OlneyPatricia L. FarisStanley K. Freeman
- Topics
- Regulation of Appetite and Obesity (16 papers)Neuropeptides and Animal Physiology (16 papers)Receptor Mechanisms and Signaling (9 papers)
- Cited by
- Endocrine and Autonomic SystemsCellular and Molecular NeuroscienceAnimal Science and Zoology
- Partner nations
- United StatesAustralia
In The Last Decade
Carol L. McLaughlin
33 papers receiving 819 citations
Peers
Comparison fields: 5 of 84
- Cellular and Molecular Neuroscience 398
- Endocrine and Autonomic Systems 311
- Molecular Biology 177
- Physiology 176
- Animal Science and Zoology 164
Countries citing papers authored by Carol L. McLaughlin
This map shows the geographic impact of Carol L. McLaughlin'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 Carol L. McLaughlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carol L. McLaughlin more than expected).
Fields of papers citing papers by Carol L. McLaughlin
This network shows the impact of papers produced by Carol L. McLaughlin. 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 Carol L. McLaughlin. The network helps show where Carol L. McLaughlin may publish in the future.
Co-authorship network of co-authors of Carol L. McLaughlin
This figure shows the co-authorship network connecting the top 25 collaborators of Carol L. McLaughlin. A scholar is included among the top collaborators of Carol L. McLaughlin 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 Carol L. McLaughlin. Carol L. McLaughlin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Antimicrobial resistance in shigellosis, cholera and campylobacteriosis | 65 |
| 2 | 3 | |
| 3 | 9 | |
| 4 | 20 | |
| 5 | 17 | |
| 6 | 13 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 18 | |
| 10 | 26 | |
| 11 | 11 | |
| 12 | 47 | |
| 13 | 36 | |
| 14 | 9 | |
| 15 | 97 | |
| 16 | 87 | |
| 17 | 34 | |
| 18 | 21 | |
| 19 | 22 | |
| 20 | 4 |
About Carol L. McLaughlin
Carol L. McLaughlin is a scholar working on Endocrine and Autonomic Systems, Animal Science and Zoology and Cellular and Molecular Neuroscience, having authored 33 papers that have together received 872 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (16 papers), Neuropeptides and Animal Physiology (16 papers) and Receptor Mechanisms and Signaling (9 papers). The work is most often cited by research in Endocrine and Autonomic Systems (311 citations), Cellular and Molecular Neuroscience (398 citations) and Animal Science and Zoology (164 citations). Carol L. McLaughlin has collaborated with scholars based in United States and Australia. Frequent co-authors include Clifton A. Baile, Mary Anne Della‐Fera, David A. Sack, Voravit Suwanvanichkij, Barry R. Komisaruk, John W. Olney, Patricia L. Faris, Stanley K. Freeman, Steven Peikin and F. C. Buonomo. Their work appears in journals such as Science, Journal of Nutrition and Cellular and Molecular Life 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.