Brian E. Hawes
-
- Regulation of Appetite and Obesity 13
-
- Neuropeptides and Animal Physiology 11
- Molecular Biology top 1%
- Receptor Mechanisms and Signaling 32
- Protein Kinase Regulation and GTPase Signaling 17
- Immunology and Allergy top 2%
- Cell Biology top 2%
-
- Biochemical Analysis and Sensing Techniques 16
-
- Hypothalamic control of reproductive hormones 6
-
- Growth Hormone and Insulin-like Growth Factors 5
-
- Adipose Tissue and Metabolism 5
- Co-authors
- Robert J. LefkowitzLouis M. LuttrellTim van BiesenWalter J. KochKazushige TouharaDeirdre K. LuttrellKim O’NeillLee F. Allen
- Journals
- Journal of Biological Chemistry (12 papers)Bioorganic & Medicinal Chemistry Letters (11 papers)Endocrinology (10 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Brian E. Hawes
71 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Endocrine and Autonomic Systems 610
- Cellular and Molecular Neuroscience 1.6k
- Molecular Biology 4.1k
- Immunology and Allergy 287
- Cell Biology 567
Countries citing papers authored by Brian E. Hawes
This map shows the geographic impact of Brian E. Hawes'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 Brian E. Hawes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian E. Hawes more than expected).
Fields of papers citing papers by Brian E. Hawes
This network shows the impact of papers produced by Brian E. Hawes. 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 Brian E. Hawes. The network helps show where Brian E. Hawes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brian E. Hawes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 9 | |
| 2 | 2014 | 18 | |
| 3 | 2008 | 83 | |
| 4 | 2007 | 5 | |
| 5 | 2006 | 22 | |
| 6 | 2006 | 6 | |
| 7 | 2006 | 4 | |
| 8 | 2006 | 11 | |
| 9 | 2006 | 12 | |
| 10 | 2002 | 96 | |
| 11 | 2002 | 87 | |
| 12 | 2002 | 21 | |
| 13 | 2000 | 93 | |
| 14 | 1998 | 63 | |
| 15 | 1998 | 37 | |
| 16 | 1997 | 5 | |
| 17 | 1997 | 38 | |
| 18 | 1995 | 95 | |
| 19 | 1995 | 70 | |
| 20 | 1992 | 29 |
About Brian E. Hawes
Brian E. Hawes is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics and Reproductive Medicine, having authored 71 papers that have together received 5.7k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (32 papers), Protein Kinase Regulation and GTPase Signaling (17 papers), Biochemical Analysis and Sensing Techniques (16 papers), Regulation of Appetite and Obesity (13 papers), Neuropeptides and Animal Physiology (11 papers), Hypothalamic control of reproductive hormones (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Adipose Tissue and Metabolism (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (610 citations), Cellular and Molecular Neuroscience (1.6k citations) and Molecular Biology (4.1k citations). Brian E. Hawes has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Robert J. Lefkowitz, Louis M. Luttrell, Tim van Biesen, Walter J. Koch, Kazushige Touhara, Deirdre K. Luttrell, Kim O’Neill, Lee F. Allen, Michael P. Graziano and James Inglese. Their work appears in journals such as Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters, Endocrinology, Journal of Medicinal Chemistry and ACS Medicinal Chemistry Letters.
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.