May C. Miedel
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- Neuropeptides and Animal Physiology 2
- Biochemistry top 5%
- Virology top 10%
- Molecular Biology top 10%
- Protein purification and stability 2
- Receptor Mechanisms and Signaling 2
- Glycosylation and Glycoproteins Research 1
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- Peptidase Inhibition and Analysis 3
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- T-cell and Retrovirus Studies 2
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- Growth Hormone and Insulin-like Growth Factors 2
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- Nathan NelsonHannah NelsonHenry A. LesterJohn GuastellaLinda CzyzykBaruch I. KannerNorman DavidsonY C Pan
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
May C. Miedel
16 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Cellular and Molecular Neuroscience 628
- Biochemistry 175
- Virology 75
- Molecular Biology 757
- Biological Psychiatry 22
Countries citing papers authored by May C. Miedel
This map shows the geographic impact of May C. Miedel'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 May C. Miedel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites May C. Miedel more than expected).
Fields of papers citing papers by May C. Miedel
This network shows the impact of papers produced by May C. Miedel. 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 May C. Miedel. The network helps show where May C. Miedel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside May C. Miedel, 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 | 1990 | 1 | |
| 2 | 1990 | 56 | |
| 3 | Cloning and Expression of a Rat Brain GABA Transporterbreakdown → | 1990 | 731 |
| 4 | 1990 | 126 | |
| 5 | 1989 | 33 | |
| 6 | 1989 | 6 | |
| 7 | 1989 | 24 | |
| 8 | 1989 | 99 | |
| 9 | 1989 | 90 | |
| 10 | 1989 | 12 | |
| 11 | 1988 | 13 | |
| 12 | 1988 | 19 | |
| 13 | 1987 | 42 | |
| 14 | 1986 | 10 | |
| 15 | 1986 | 8 | |
| 16 | 1986 | 15 |
About May C. Miedel
May C. Miedel is a scholar working on Biophysics, Energy Engineering and Power Technology and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (3 papers), T-cell and Retrovirus Studies (2 papers), Protein purification and stability (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Receptor Mechanisms and Signaling (2 papers), Neuropeptides and Animal Physiology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (628 citations), Biochemistry (175 citations) and Virology (75 citations). May C. Miedel has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Nathan Nelson, Hannah Nelson, Henry A. Lester, John Guastella, Linda Czyzyk, Baruch I. Kanner, Norman Davidson, Y C Pan, Parag R. Chitnis and Patricia A. Reilly. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.