Joy Guingab‐Cagmat

656 total citations
24 papers, 421 citations indexed

About

Joy Guingab‐Cagmat is a scholar working on Molecular Biology, Neurology and Epidemiology. According to data from OpenAlex, Joy Guingab‐Cagmat has authored 24 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Neurology and 5 papers in Epidemiology. Recurrent topics in Joy Guingab‐Cagmat's work include S100 Proteins and Annexins (6 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Coral and Marine Ecosystems Studies (3 papers). Joy Guingab‐Cagmat is often cited by papers focused on S100 Proteins and Annexins (6 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Coral and Marine Ecosystems Studies (3 papers). Joy Guingab‐Cagmat collaborates with scholars based in United States, Lebanon and Italy. Joy Guingab‐Cagmat's co-authors include Firas Kobeissy, Ronald L. Hayes, Timothy J. Garrett, John Anagli, Stefania Mondello, Kevin Wang, Ning Li, Stephen F. Larner, Yuchuan Ding and Chang­hong Ren and has published in prestigious journals such as PLoS ONE, Scientific Reports and Brain Research.

In The Last Decade

Joy Guingab‐Cagmat

23 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joy Guingab‐Cagmat United States 12 251 116 114 43 37 24 421
Jeong W. Pak United States 14 379 1.5× 53 0.5× 71 0.6× 7 0.2× 19 0.5× 41 1.1k
Laura Terraneo Italy 12 188 0.7× 40 0.3× 46 0.4× 10 0.2× 13 0.4× 16 478
Xiaowen Hou China 12 246 1.0× 82 0.7× 167 1.5× 6 0.1× 56 1.5× 32 596
Albert R. Giandomenico United States 8 140 0.6× 72 0.6× 39 0.3× 7 0.2× 34 0.9× 13 444
Wance Firdaus France 8 302 1.2× 33 0.3× 69 0.6× 8 0.2× 12 0.3× 8 506
Roland Patai Hungary 14 127 0.5× 86 0.7× 47 0.4× 8 0.2× 99 2.7× 45 507
D. J. H. Brock United Kingdom 12 260 1.0× 116 1.0× 30 0.3× 19 0.4× 3 0.1× 25 587
Kim Han United States 12 360 1.4× 76 0.7× 226 2.0× 4 0.1× 37 1.0× 29 713
Marlene Wade United States 12 193 0.8× 17 0.1× 39 0.3× 71 1.7× 41 1.1× 20 544

Countries citing papers authored by Joy Guingab‐Cagmat

Since Specialization
Citations

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

Fields of papers citing papers by Joy Guingab‐Cagmat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joy Guingab‐Cagmat. 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 Joy Guingab‐Cagmat. The network helps show where Joy Guingab‐Cagmat may publish in the future.

Co-authorship network of co-authors of Joy Guingab‐Cagmat

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

All Works

20 of 20 papers shown
1.
2.
Guingab‐Cagmat, Joy, Gerald V. Minsavage, Gary E. Vallad, et al.. (2022). Strength in Numbers: Density-Dependent Volatile-Induced Antimicrobial Activity by Xanthomonas perforans. Phytopathology. 113(2). 160–169. 2 indexed citations
3.
Khattri, Ram B., Joy Guingab‐Cagmat, Matthew E. Merritt, et al.. (2021). Intraspecific variation in polar and nonpolar metabolite profiles of a threatened Caribbean coral. Metabolomics. 17(7). 60–60. 4 indexed citations
4.
Meads, Mark B., Dario Magaletti, Joy Guingab‐Cagmat, et al.. (2021). Metabolic Changes Are Associated with Melphalan Resistance in Multiple Myeloma. Journal of Proteome Research. 20(6). 3134–3149. 10 indexed citations
5.
6.
Guingab‐Cagmat, Joy, et al.. (2021). Cellular Metabolomics Profiles Associated With Drug Chemosensitivity in AML. Frontiers in Oncology. 11. 678008–678008. 9 indexed citations
7.
O’Kell, Allison L., et al.. (2021). Targeted metabolomic analysis identifies increased serum levels of GABA and branched chain amino acids in canine diabetes. Metabolomics. 17(11). 100–100. 7 indexed citations
8.
Lohr, Kathryn E., Ram B. Khattri, Joy Guingab‐Cagmat, et al.. (2019). Metabolomic profiles differ among unique genotypes of a threatened Caribbean coral. Scientific Reports. 9(1). 6067–6067. 39 indexed citations
9.
Guingab‐Cagmat, Joy, Bin Fang, Min Liu, et al.. (2019). Proteometabolomics of Melphalan Resistance in Multiple Myeloma. Methods in molecular biology. 1996. 273–296. 7 indexed citations
10.
Koelmel, Jeremy P., et al.. (2019). Re-modeling of foliar membrane lipids in a seagrass allows for growth in phosphorus-deplete conditions. PLoS ONE. 14(11). e0218690–e0218690. 8 indexed citations
11.
Kobeissy, Firas, Joy Guingab‐Cagmat, Adriaan W. Bruijnzeel, Mark S. Gold, & Kevin Wang. (2017). Effect of Second-Hand Tobacco Smoke on the Nitration of Brain Proteins: A Systems Biology and Bioinformatics Approach. Methods in molecular biology. 1598. 353–372. 3 indexed citations
12.
Ren, Chang­hong, Firas Kobeissy, Ali Alawieh, et al.. (2016). Assessment of Serum UCH-L1 and GFAP in Acute Stroke Patients. Scientific Reports. 6(1). 24588–24588. 87 indexed citations
13.
Kobeissy, Firas, Joy Guingab‐Cagmat, Zuo‐Feng Zhang, et al.. (2016). Neuroproteomics and Systems Biology Approach to Identify Temporal Biomarker Changes Post Experimental Traumatic Brain Injury in Rats. Frontiers in Neurology. 7. 198–198. 25 indexed citations
14.
Kobeissy, Firas, Basri Gülbakan, Ali Alawieh, et al.. (2014). Post-Genomics Nanotechnology Is Gaining Momentum: Nanoproteomics and Applications in Life Sciences. OMICS A Journal of Integrative Biology. 18(2). 111–131. 17 indexed citations
15.
Ren, Chang­hong, Joy Guingab‐Cagmat, John Anagli, et al.. (2013). Different expression of ubiquitin C-terminal hydrolase-L1 and αII-spectrin in ischemic and hemorrhagic stroke: Potential biomarkers in diagnosis. Brain Research. 1540. 84–91. 25 indexed citations
16.
Guingab‐Cagmat, Joy, et al.. (2013). Integration of Proteomics, Bioinformatics, and Systems Biology in Traumatic Brain Injury Biomarker Discovery. Frontiers in Neurology. 4. 61–61. 30 indexed citations
17.
Moeller, Benjamin C., et al.. (2012). Pharmacokinetics of stanozolol in Thoroughbred horses following intramuscular administration. Journal of Veterinary Pharmacology and Therapeutics. 36(2). 201–204. 3 indexed citations
18.
Guingab‐Cagmat, Joy, Stanley M. Stevens, Zhiqun Zhang, et al.. (2011). Identification of tyrosine nitration in UCH‐L1 and GAPDH. Electrophoresis. 32(13). 1692–1705. 11 indexed citations
19.
Guingab‐Cagmat, Joy, Rayna M. Bauzo, Adriaan W. Bruijnzeel, et al.. (2011). Methods in Tobacco Abuse: Proteomic Changes Following Second-Hand Smoke Exposure. Methods in molecular biology. 829. 329–348. 5 indexed citations
20.
Kobeissy, Firas, Joy Guingab‐Cagmat, Mahdi Razafsha, et al.. (2011). Leveraging Biomarker Platforms and Systems Biology for Rehabilomics and Biologics Effectiveness Research. PM&R. 3(6S). S139–47. 24 indexed citations

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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