Jeffrey Velasquez

1.6k citations
8 papers · 1.3k indexed · 1 hit paper · h-index 7
Topics
SARS-CoV-2 and COVID-19 Research (2 papers)Viral Infectious Diseases and Gene Expression in Insects (2 papers)Receptor Mechanisms and Signaling (2 papers)
Partner nations
United StatesChinaRussia

In The Last Decade

Jeffrey Velasquez

8 papers receiving 1.3k citations

Hit Papers

A Specific Cholesterol Binding Site Is Established by the...20082026201420202008250500750

Peers

Jeffrey Velasquez
Comparison fields: 5 of 83
  • Molecular Biology 1.0k
  • Cellular and Molecular Neuroscience 417
  • Infectious Diseases 179
  • Computational Theory and Mathematics 118
  • Radiology, Nuclear Medicine and Imaging 112
Replace W S Hill with:
W S Hill United States
Irina G. Tikhonova United Kingdom
R A Dixon United States
Tara Mirzadegan United States
Wanchao Yin China
Simone Weyand United Kingdom
Catherine L. Worth Germany
Ramón Guixà-González Spain
Li-Yin Huang United States
Kaavya Krishna Kumar United States
Jeffrey Velasquez relative to W S Hill United States W S Hill's profile →
Citations per field
00.5×11.5×
W S Hill · 1×
Citations per year

Countries citing papers authored by Jeffrey Velasquez

Since Specialization
Citations

This map shows the geographic impact of Jeffrey Velasquez'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 Jeffrey Velasquez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Velasquez more than expected).

Fields of papers citing papers by Jeffrey Velasquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey Velasquez. 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 Jeffrey Velasquez. The network helps show where Jeffrey Velasquez may publish in the future.

Co-authorship network of co-authors of Jeffrey Velasquez

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Velasquez. A scholar is included among the top collaborators of Jeffrey Velasquez 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 Jeffrey Velasquez. Jeffrey Velasquez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 5
2 38
3 147
4
A Specific Cholesterol Binding Site Is Established by the 2.8 Å Structure of the Human β2-Adrenergic Receptorbreakdown →
780
5 34
6 94
7 157
8 26

About Jeffrey Velasquez

Jeffrey Velasquez is a scholar working on Physiology, Biophysics and Spectroscopy, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (417 citations), Molecular Biology (1.0k citations) and Animal Science and Zoology (102 citations). Jeffrey Velasquez has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Raymond C. Stevens, Mark T. Griffith, Peter Kühn, Michael A. Hanson, C. Roth, Veli‐Pekka Jaakola, Vadim Cherezov, Ellen Y. T. Chien, Kin Moy and Vanitha Subramanian. Their work appears in journals such as Cell, Journal of Virology and Nature Protocols.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026