Gregory V. Nikiforovich
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- Neuropeptides and Animal Physiology 23
- Photoreceptor and optogenetics research 12
- Molecular Biology top 5%
- Receptor Mechanisms and Signaling 38
- Chemical Synthesis and Analysis 32
- Protein Structure and Dynamics 12
- Lipid Membrane Structure and Behavior 6
- Spectroscopy top 5%
- Molecular spectroscopy and chirality 6
- Organic Chemistry top 10%
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- Monoclonal and Polyclonal Antibodies Research 13
- Co-authors
- Garland R. MarshallVictor J. HrubyThomas BaranskiCatherine A. GehrigMark D. ShenderovichSamuel AchilefuOm PrakashJeffery M. Klco
- Partner nations
- United StatesRussiaLatvia
In The Last Decade
Gregory V. Nikiforovich
92 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 92
- Cellular and Molecular Neuroscience 597
- Endocrine and Autonomic Systems 139
- Molecular Biology 1.4k
- Spectroscopy 209
- Organic Chemistry 322
Countries citing papers authored by Gregory V. Nikiforovich
This map shows the geographic impact of Gregory V. Nikiforovich'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 Gregory V. Nikiforovich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory V. Nikiforovich more than expected).
Fields of papers citing papers by Gregory V. Nikiforovich
This network shows the impact of papers produced by Gregory V. Nikiforovich. 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 Gregory V. Nikiforovich. The network helps show where Gregory V. Nikiforovich may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gregory V. Nikiforovich, 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 | 2014 | 22 | |
| 2 | 2011 | 13 | |
| 3 | 2010 | 1 | |
| 4 | 2007 | 4 | |
| 5 | 2006 | 19 | |
| 6 | 2006 | 9 | |
| 7 | 2006 | 5 | |
| 8 | 2006 | 16 | |
| 9 | 2005 | 23 | |
| 10 | 2001 | 30 | |
| 11 | 1999 | 4 | |
| 12 | 1998 | 12 | |
| 13 | conformations of angiotensin vs ist nonpepitidic antagonists | 1994 | 1 |
| 14 | 1994 | 42 | |
| 15 | 1994 | 48 | |
| 16 | 1994 | 14 | |
| 17 | 1993 | 25 | |
| 18 | 1990 | 10 | |
| 19 | 1989 | 22 | |
| 20 | 1989 | 1 |
About Gregory V. Nikiforovich
Gregory V. Nikiforovich is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Spectroscopy, having authored 92 papers that have together received 1.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (38 papers), Chemical Synthesis and Analysis (32 papers), Neuropeptides and Animal Physiology (23 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Photoreceptor and optogenetics research (12 papers), Protein Structure and Dynamics (12 papers), Lipid Membrane Structure and Behavior (6 papers) and Molecular spectroscopy and chirality (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (597 citations), Endocrine and Autonomic Systems (139 citations) and Molecular Biology (1.4k citations). Gregory V. Nikiforovich has collaborated with scholars based in United States, Russia and Latvia. Frequent co-authors include Garland R. Marshall, Victor J. Hruby, Thomas Baranski, Catherine A. Gehrig, Mark D. Shenderovich, Samuel Achilefu, Om Prakash, Jeffery M. Klco, Om Prakash and Yunpeng Ye. Their work appears in journals such as Biopolymers, Journal of Medicinal Chemistry, FEBS Letters, Biochemical and Biophysical Research Communications and Proteins Structure Function and Bioinformatics.
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.