Michael Heiber
Impact in
- Pharmacology top 1%
- Apelin-related biomedical research
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- Nuclear Receptors and Signaling
- Neuropeptides and Animal Physiology
Papers in
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- Neuropeptides and Animal Physiology 6
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- Receptor Mechanisms and Signaling 6
- Chemical Synthesis and Analysis 2
- Pharmacological Receptor Mechanisms and Effects 1
- Co-authors
- Brian F. O’Dowd (7 shared papers)Tuan Nguyen (6 shared papers)Henry H. Heng (5 shared papers)Xiaomei Shi (4 shared papers)Lap-Chee Tsui (1 shared paper)Artūras Petronis (1 shared paper)Audrey S. M. Chan (1 shared paper)James L. Kennedy (1 shared paper)
- Journals
- Genomics (3 papers)Biochemical and Biophysical Research Communications (2 papers)DNA and Cell Biology (1 paper)Gene (1 paper)AIDS Research and Human Retroviruses (1 paper)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Michael Heiber
8 papers receiving 1.3k citations
Michael Heiber's Hit Papers
Peers
Comparison fields: 5 of 67
- Pharmacology 769
- Cellular and Molecular Neuroscience 575
- Surgery 593
- Endocrinology, Diabetes and Metabolism 207
- Endocrine and Autonomic Systems 69
Countries citing papers authored by Michael Heiber
This map shows the geographic impact of Michael Heiber'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 Heiber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Heiber more than expected).
Fields of papers citing papers by Michael Heiber
This network shows the impact of papers produced by Michael Heiber. 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 Heiber. The network helps show where Michael Heiber may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Heiber, 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 | A human gene that shows identity with the gene encoding the angiotensin receptor is located on chromosome 11 Hit paper breakdown → | 1993 | 748 |
| 2 | 1995 | 167 | |
| 3 | 1994 | 137 | |
| 4 | 1994 | 104 | |
| 5 | 1995 | 91 | |
| 6 | 1996 | 56 | |
| 7 | 1994 | 16 | |
| 8 | 1992 | 7 |
About Michael Heiber
Michael Heiber is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Virology, Endocrinology, Diabetes and Metabolism and Immunology, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (6 papers), Receptor Mechanisms and Signaling (6 papers), Chemical Synthesis and Analysis (2 papers), Diabetes Treatment and Management (1 paper), Drug Transport and Resistance Mechanisms (1 paper), HIV Research and Treatment (1 paper), Neuroendocrine Tumor Research Advances (1 paper) and Pharmacological Receptor Mechanisms and Effects (1 paper). The work is most often cited by research in Pharmacology (769 citations), Cellular and Molecular Neuroscience (575 citations), Surgery (593 citations), Endocrinology, Diabetes and Metabolism (207 citations) and Endocrine and Autonomic Systems (69 citations). Michael Heiber has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Brian F. O’Dowd, Tuan Nguyen, Henry H. Heng, Xiaomei Shi, Lap-Chee Tsui, Artūras Petronis, Audrey S. M. Chan, James L. Kennedy, Susan R. George and Susan R. George. Their work appears in journals such as Genomics, Biochemical and Biophysical Research Communications, DNA and Cell Biology, Gene and AIDS Research and Human Retroviruses.
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.