Gregory B. Vásquez

598 citations
16 papers · 478 · h-index 10

Impact in

Papers in

Gregory B. Vásquez

16 papers receiving 471 citations

Peers

Gregory B. Vásquez
Comparison fields: 5 of 83
  • Immunology and Allergy 139
  • Cell Biology 183
  • Molecular Biology 196
  • Hematology 25
  • Physiology 54
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Humra Athar United States
Ursula Lüthi Switzerland
Thiruvamoor Ramkumar United States
Joseph Wynne United States
J. Rivera United States
T. Ishibashi Japan
Anja Fingerhut Germany
Satoshi Tsuji Japan
Takehiro Kobayashi Japan
G. A. Scassellati Italy
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Citations per field
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Citations per year

Countries citing papers authored by Gregory B. Vásquez

Since Specialization
Citations

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

Fields of papers citing papers by Gregory B. Vásquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory B. Vásquez. 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 B. Vásquez. The network helps show where Gregory B. Vásquez may publish in the future.

Co-authors

The 25 scholars most cited alongside Gregory B. Vásquez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gregory B. Vásquez Line = papers co-authored together Gregory B. Vásquez links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1993216
2 201655
3 200643
4 199928
5 199826
6 200120
7 201420
8 199818
9 201114
10 199710
11 19989
12 19957
13 20045
14 20043
15
Correlation between serum levels of 17 beta-estradiol, progesterone and beta-human chorionic gonadotropin and the karyotype of first trimester anembryonic and embryonic pregnancies.
20013
16 20041

About Gregory B. Vásquez

Gregory B. Vásquez is a scholar working on Molecular Biology, Cell Biology, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Spectroscopy, having authored 16 papers that have together received 478 indexed citations. Recurring topics across this work include Hemoglobin structure and function (7 papers), Heme Oxygenase-1 and Carbon Monoxide (4 papers), Neonatal Health and Biochemistry (3 papers), Neuroscience of respiration and sleep (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Respiratory Support and Mechanisms (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Pulmonary Hypertension Research and Treatments (2 papers). The work is most often cited by research in Immunology and Allergy (139 citations), Cell Biology (183 citations), Molecular Biology (196 citations), Hematology (25 citations) and Physiology (54 citations). Gregory B. Vásquez has collaborated with scholars based in United States, Italy and Colombia. Frequent co-authors include Keith Burridge, Carol Otey, B W Erickson, Clara Fronticelli, Gary L. Gilliland, David H. Fine, Xinhua Ji, L.G. Gamero, Mark S. Slaughter and Kurt A. Dasse. Their work appears in journals such as Journal of Biological Chemistry, Nitric Oxide, Mitochondrion, Biophysical Chemistry and Chemico-Biological Interactions.

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.

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