Tamara A. M. Mocking
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
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- Photoreceptor and optogenetics research
- Neuropeptides and Animal Physiology
Papers in
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- Receptor Mechanisms and Signaling 13
- Chemical Synthesis and Analysis 3
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- Photoreceptor and optogenetics research 3
- Neuropeptides and Animal Physiology 3
- Neurobiology and Insect Physiology Research 2
- Co-authors
- Laura H. Heitman (7 shared papers)Adriaan P. IJzerman (6 shared papers)Rob Leurs (10 shared papers)Dong Guo (4 shared papers)Henry F. Vischer (10 shared papers)Iwan J. P. de Esch (7 shared papers)Maikel Wijtmans (7 shared papers)Daniel Da Costa Pereira (5 shared papers)
- Journals
- Journal of Medicinal Chemistry (3 papers)Molecular Pharmacology (2 papers)International Journal of Molecular Sciences (2 papers)ChemMedChem (1 paper)European Journal of Medicinal Chemistry (1 paper)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Tamara A. M. Mocking
17 papers receiving 368 citations
Peers
Comparison fields: 5 of 51
- Physiology 80
- Cellular and Molecular Neuroscience 152
- Sensory Systems 21
- Molecular Biology 262
- Organic Chemistry 68
Countries citing papers authored by Tamara A. M. Mocking
This map shows the geographic impact of Tamara A. M. Mocking'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 Tamara A. M. Mocking with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamara A. M. Mocking more than expected).
Fields of papers citing papers by Tamara A. M. Mocking
This network shows the impact of papers produced by Tamara A. M. Mocking. 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 Tamara A. M. Mocking. The network helps show where Tamara A. M. Mocking may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamara A. M. Mocking, 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 | 2016 | 75 | |
| 2 | 2018 | 58 | |
| 3 | 2014 | 46 | |
| 4 | 2014 | 41 | |
| 5 | 2018 | 31 | |
| 6 | 2019 | 30 | |
| 7 | 2015 | 28 | |
| 8 | 2019 | 14 | |
| 9 | 2022 | 9 | |
| 10 | 2019 | 8 | |
| 11 | 2019 | 8 | |
| 12 | 2019 | 7 | |
| 13 | 2019 | 6 | |
| 14 | 2024 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2022 | 1 | |
| 17 | 2022 | 1 |
About Tamara A. M. Mocking
Tamara A. M. Mocking is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Immunology, Materials Chemistry and Physiology, having authored 17 papers that have together received 370 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (13 papers), Mast cells and histamine (6 papers), Adenosine and Purinergic Signaling (4 papers), Photochromic and Fluorescence Chemistry (4 papers), Photoreceptor and optogenetics research (3 papers), Chemical Synthesis and Analysis (3 papers), Neuropeptides and Animal Physiology (3 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Physiology (80 citations), Cellular and Molecular Neuroscience (152 citations), Sensory Systems (21 citations), Molecular Biology (262 citations) and Organic Chemistry (68 citations). Tamara A. M. Mocking has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Laura H. Heitman, Adriaan P. IJzerman, Rob Leurs, Dong Guo, Henry F. Vischer, Iwan J. P. de Esch, Maikel Wijtmans, Daniel Da Costa Pereira, Johannes Brussee and Lizi Xia. Their work appears in journals such as Journal of Medicinal Chemistry, Molecular Pharmacology, International Journal of Molecular Sciences, ChemMedChem and European Journal of Medicinal 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.