Victor J. Lotti
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 0.5%
- Organic Chemistry top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Physiology top 5%
- Co-authors
- Raymond S.L. ChangRobert S. ChangW. FeldbergPaul J. KlingDeborah J. CerinoBradley V. ClineschmidtRoger FreidingerR S Chang
- Topics
- Receptor Mechanisms and Signaling (45 papers)Neuropeptides and Animal Physiology (40 papers)Renin-Angiotensin System Studies (18 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of PhysiologyBiochemical and Biophysical Research Communications
- Partner nations
- United StatesFranceJapan
In The Last Decade
Victor J. Lotti
138 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 3.0k
- Cellular and Molecular Neuroscience 2.3k
- Organic Chemistry 1.6k
- Cardiology and Cardiovascular Medicine 826
- Physiology 589
Countries citing papers authored by Victor J. Lotti
This map shows the geographic impact of Victor J. Lotti'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 Victor J. Lotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victor J. Lotti more than expected).
Fields of papers citing papers by Victor J. Lotti
This network shows the impact of papers produced by Victor J. Lotti. 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 Victor J. Lotti. The network helps show where Victor J. Lotti may publish in the future.
Co-authorship network of co-authors of Victor J. Lotti
This figure shows the co-authorship network connecting the top 25 collaborators of Victor J. Lotti. A scholar is included among the top collaborators of Victor J. Lotti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Victor J. Lotti. Victor J. Lotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 38 | |
| 3 | 24 | |
| 4 | 40 | |
| 5 | 20 | |
| 6 | 102 | |
| 7 | 19 | |
| 8 | 18 | |
| 9 | 33 | |
| 10 | 74 | |
| 11 | 16 | |
| 12 | 347 | |
| 13 | 19 | |
| 14 | 42 | |
| 15 | 16 | |
| 16 | 13 | |
| 17 | 24 | |
| 18 | 22 | |
| 19 | Appetite stimulant activity of 3-carboxy-10,11-dihydrocyproheptadine. | 5 |
| 20 | 44 |
About Victor J. Lotti
Victor J. Lotti is a scholar working on Cellular and Molecular Neuroscience, Organic Chemistry and Small Animals, having authored 138 papers that have together received 5.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (45 papers), Neuropeptides and Animal Physiology (40 papers) and Renin-Angiotensin System Studies (18 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.3k citations), Organic Chemistry (1.6k citations) and Behavioral Neuroscience (164 citations). Victor J. Lotti has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Raymond S.L. Chang, Robert S. Chang, W. Feldberg, Paul J. Kling, Deborah J. Cerino, Bradley V. Clineschmidt, Roger Freidinger, R S Chang, Rani Mary George and Mark G. Bock. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Physiology and Biochemical and Biophysical Research Communications.
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.