Vanessa Cervantes

459 total citations
19 papers, 284 citations indexed

About

Vanessa Cervantes is a scholar working on Molecular Biology, Pharmacology and Epidemiology. According to data from OpenAlex, Vanessa Cervantes has authored 19 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Pharmacology and 4 papers in Epidemiology. Recurrent topics in Vanessa Cervantes's work include Receptor Mechanisms and Signaling (5 papers), Liver Disease Diagnosis and Treatment (4 papers) and Inflammatory mediators and NSAID effects (4 papers). Vanessa Cervantes is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), Liver Disease Diagnosis and Treatment (4 papers) and Inflammatory mediators and NSAID effects (4 papers). Vanessa Cervantes collaborates with scholars based in United States, Singapore and United Kingdom. Vanessa Cervantes's co-authors include Ke‐He Ruan, Shui‐Ping So, Anna Milanesi, Laura Perin, Jiaxin Wu, Valentina Villani, Zhenhua Li, Jang-Won Lee, Stefano Da Sacco and John S. Yu and has published in prestigious journals such as PLoS ONE, Hepatology and Biochemistry.

In The Last Decade

Vanessa Cervantes

19 papers receiving 284 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vanessa Cervantes United States 10 156 53 47 46 42 19 284
Judy Tsai United States 5 232 1.5× 40 0.8× 112 2.4× 29 0.6× 14 0.3× 7 429
Hui‐Jun Mu China 13 220 1.4× 37 0.7× 29 0.6× 22 0.5× 16 0.4× 32 434
Robin Lorenz Germany 11 201 1.3× 80 1.5× 14 0.3× 72 1.6× 14 0.3× 18 434
Luguo Sun China 12 228 1.5× 41 0.8× 33 0.7× 15 0.3× 24 0.6× 16 372
Emilia Zmuda‐Trzebiatowska Sweden 8 302 1.9× 108 2.0× 70 1.5× 9 0.2× 44 1.0× 9 453
Jasmeet Kaur United States 8 286 1.8× 31 0.6× 53 1.1× 11 0.2× 12 0.3× 18 351
Ya-Nan Shu China 13 272 1.7× 54 1.0× 33 0.7× 11 0.2× 30 0.7× 16 465
Masaomi Tajimi Japan 13 197 1.3× 31 0.6× 14 0.3× 17 0.4× 24 0.6× 34 464
M. Mason‐Garcia United States 11 121 0.8× 30 0.6× 42 0.9× 26 0.6× 18 0.4× 13 325
Sara Vezzoli Italy 12 78 0.5× 65 1.2× 47 1.0× 34 0.7× 18 0.4× 18 318

Countries citing papers authored by Vanessa Cervantes

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa Cervantes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanessa Cervantes

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

All Works

19 of 19 papers shown
1.
Huang, Daniel Q., Nabil Noureddin, Harris Siddiqi, et al.. (2024). A Prospective Study on the Prevalence of MASLD in Patients With Type 2 Diabetes and Hyperferritinaemia. Alimentary Pharmacology & Therapeutics. 61(3). 456–464. 3 indexed citations
2.
Bush, Kelly, et al.. (2023). A knockout‐first model of H3f3a gene targeting leads to developmental lethality. genesis. 61(1-2). e23507–e23507. 5 indexed citations
3.
Ajmera, Veeral, Erick Sandoval, Scarlett Lopez, et al.. (2023). Validation of AGA clinical care pathway and AASLD practice guidance for nonalcoholic fatty liver disease in a prospective cohort of patients with type 2 diabetes. Hepatology. 79(5). 1098–1106. 13 indexed citations
4.
Huang, Daniel Q., Panu K. Luukkonen, Kimmo Porthan, et al.. (2023). Development and Validation of the Nonalcoholic Fatty Liver Disease Familial Risk Score to Detect Advanced Fibrosis: A Prospective, Multicenter Study. Clinical Gastroenterology and Hepatology. 22(1). 81–90.e4. 8 indexed citations
5.
Ajmera, Veeral, Scarlett Lopez, Vanessa Cervantes, et al.. (2023). Validation and expansion of the American gastroenterological association clinical care pathway for non-alcoholic fatty liver disease in a prospective cohort of patients with type 2 diabetes. Journal of Hepatology. 78. S648–S649. 1 indexed citations
6.
Chen, Kuang-Yui Michael, Kelly Bush, Rachel Herndon Klein, et al.. (2020). Reciprocal H3.3 gene editing identifies K27M and G34R mechanisms in pediatric glioma including NOTCH signaling. Communications Biology. 3(1). 363–363. 34 indexed citations
7.
Manandhar, Surya P., et al.. (2017). Yeast ENV9 encodes a conserved lipid droplet (LD) short-chain dehydrogenase involved in LD morphology. Current Genetics. 63(6). 1053–1072. 12 indexed citations
8.
Milanesi, Anna, Jang‐Won Lee, Nam‐Ho Kim, et al.. (2015). Thyroid Hormone Receptor α Plays an Essential Role in Male Skeletal Muscle Myoblast Proliferation, Differentiation, and Response to Injury. Endocrinology. 157(1). 4–15. 41 indexed citations
9.
Milanesi, Anna, Jang-Won Lee, Zhenhua Li, et al.. (2012). β-Cell Regeneration Mediated by Human Bone Marrow Mesenchymal Stem Cells. PLoS ONE. 7(8). e42177–e42177. 49 indexed citations
10.
So, Shui‐Ping, et al.. (2011). Novel Mechanism of the Vascular Protector Prostacyclin: Regulating MicroRNA Expression. Biochemistry. 50(10). 1691–1699. 20 indexed citations
11.
12.
Ruan, Ke‐He, Vanessa Cervantes, & Shui‐Ping So. (2009). Engineering of a novel hybrid enzyme: an anti-inflammatory drug target with triple catalytic activities directly converting arachidonic acid into the inflammatory prostaglandin E2. Protein Engineering Design and Selection. 22(12). 733–740. 21 indexed citations
13.
Cervantes, Vanessa, et al.. (2009). Ligand-Specific Conformation Determines Agonist Activation and Antagonist Blockade in Purified Human Thromboxane A2 Receptor. Biochemistry. 48(14). 3157–3165. 13 indexed citations
14.
15.
Ruan, Ke‐He, Shui‐Ping So, Hanjing Wu, & Vanessa Cervantes. (2008). Large-scale expression, purification, and characterization of an engineered prostacyclin-synthesizing enzyme with therapeutic potential. Archives of Biochemistry and Biophysics. 480(1). 41–50. 7 indexed citations
16.
Ruan, Ke‐He, et al.. (2008). Characterization of the prostaglandin H2 mimic: Binding to the purified human thromboxane A2 receptor in solution. Archives of Biochemistry and Biophysics. 477(2). 396–403. 6 indexed citations
17.
Ruan, Ke‐He, Vanessa Cervantes, & Jiaxin Wu. (2008). A Simple, Quick, and High-Yield Preparation of the Human Thromboxane A2Receptor in Full Size for Structural Studies. Biochemistry. 47(26). 6819–6826. 10 indexed citations
18.
Ni, Feng, Shui‐Ping So, Vanessa Cervantes, & Ke‐He Ruan. (2007). A profile of the residues in the second extracellular loop that are critical for ligand recognition of human prostacyclin receptor. FEBS Journal. 275(1). 128–137. 7 indexed citations
19.

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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