Jessica Gooding

1.6k total citations
24 papers, 1.2k citations indexed

About

Jessica Gooding is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Jessica Gooding has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Epidemiology and 4 papers in Physiology. Recurrent topics in Jessica Gooding's work include Metabolomics and Mass Spectrometry Studies (6 papers), Metabolism, Diabetes, and Cancer (4 papers) and Vibrio bacteria research studies (3 papers). Jessica Gooding is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (6 papers), Metabolism, Diabetes, and Cancer (4 papers) and Vibrio bacteria research studies (3 papers). Jessica Gooding collaborates with scholars based in United States, Singapore and Canada. Jessica Gooding's co-authors include Shawn R. Campagna, Christopher B. Newgard, Yajun Wu, Benjamin L. Farah, Rohit A. Sinha, Jin Zhou, Paul M. Yen, Brijesh Kumar Singh, Boon‐Huat Bay and Olga Ilkayeva and has published in prestigious journals such as Cell, PLoS ONE and Analytical Chemistry.

In The Last Decade

Jessica Gooding

24 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jessica Gooding United States 16 636 317 218 132 131 24 1.2k
Qiang Wan China 21 845 1.3× 266 0.8× 240 1.1× 135 1.0× 170 1.3× 58 1.6k
Jong‐Gil Park South Korea 19 649 1.0× 332 1.0× 205 0.9× 144 1.1× 227 1.7× 61 1.5k
InSug O‐Sullivan United States 21 873 1.4× 179 0.6× 199 0.9× 108 0.8× 149 1.1× 50 1.7k
Michele Alves‐Bezerra Brazil 18 593 0.9× 535 1.7× 291 1.3× 229 1.7× 145 1.1× 28 1.5k
Vı́ctor Tsutsumi Mexico 27 496 0.8× 488 1.5× 125 0.6× 108 0.8× 156 1.2× 65 1.9k
Chad M. Trent United States 16 794 1.2× 276 0.9× 440 2.0× 158 1.2× 139 1.1× 17 1.6k
Bing Chen China 23 909 1.4× 450 1.4× 226 1.0× 46 0.3× 95 0.7× 81 1.9k
Masayoshi Sakaguchi Japan 23 880 1.4× 215 0.7× 217 1.0× 354 2.7× 238 1.8× 65 2.0k
Nicole de Wit Netherlands 19 817 1.3× 256 0.8× 464 2.1× 170 1.3× 168 1.3× 41 1.4k
Zhiguo Liu China 23 515 0.8× 244 0.8× 219 1.0× 115 0.9× 113 0.9× 84 1.3k

Countries citing papers authored by Jessica Gooding

Since Specialization
Citations

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

Fields of papers citing papers by Jessica Gooding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jessica Gooding

This figure shows the co-authorship network connecting the top 25 collaborators of Jessica Gooding. A scholar is included among the top collaborators of Jessica Gooding 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 Jessica Gooding. Jessica Gooding 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.
Brier, Michael E., Jessica Gooding, James M. Harrington, et al.. (2020). Serum trace metal association with response to erythropoiesis stimulating agents in incident and prevalent hemodialysis patients. Scientific Reports. 10(1). 20202–20202. 3 indexed citations
2.
Gooding, Jessica, Shipra Agrawal, Susan McRitchie, et al.. (2019). Predicting and Defining Steroid Resistance in Pediatric Nephrotic Syndrome Using Plasma Metabolomics. Kidney International Reports. 5(1). 81–93. 26 indexed citations
3.
4.
Jensen, Mette V., Jessica Gooding, Mourad Ferdaoussi, et al.. (2017). Metabolomics applied to islet nutrient sensing mechanisms. Diabetes Obesity and Metabolism. 19(S1). 90–94. 16 indexed citations
5.
Saggi, Subodh J., Kelly Mercier, Jessica Gooding, et al.. (2017). Metabolic profiling of a chronic kidney disease cohort reveals metabolic phenotype more likely to benefit from a probiotic.. PubMed. 12(1). 43–54. 10 indexed citations
6.
Gooding, Jessica, Mette V. Jensen, Xiao-Qing Dai, et al.. (2015). Adenylosuccinate Is an Insulin Secretagogue Derived from Glucose-Induced Purine Metabolism. Cell Reports. 13(1). 157–167. 75 indexed citations
7.
Bustamante-Marin, Ximena M., et al.. (2015). Left-Biased Spermatogenic Failure in 129/SvJ Dnd1Ter/+ Mice Correlates with Differences in Vascular Architecture, Oxygen Availability, and Metabolites1. Biology of Reproduction. 93(3). 78–78. 9 indexed citations
8.
Seiler, Sarah E., Timothy R. Koves, Jessica Gooding, et al.. (2015). Carnitine Acetyltransferase Mitigates Metabolic Inertia and Muscle Fatigue during Exercise. Cell Metabolism. 22(1). 65–76. 76 indexed citations
9.
Todor, Horia, Jessica Gooding, Olga Ilkayeva, & Amy Schmid. (2015). Dynamic Metabolite Profiling in an Archaeon Connects Transcriptional Regulation to Metabolic Consequences. PLoS ONE. 10(8). e0135693–e0135693. 10 indexed citations
10.
Sinha, Rohit A., Brijesh Kumar Singh, Jin Zhou, et al.. (2015). Thyroid hormone induction of mitochondrial activity is coupled to mitophagy via ROS-AMPK-ULK1 signaling. Autophagy. 11(8). 1341–1357. 166 indexed citations
11.
Gooding, Jessica, Mette V. Jensen, & Christopher B. Newgard. (2015). Metabolomics applied to the pancreatic islet. Archives of Biochemistry and Biophysics. 589. 120–130. 32 indexed citations
12.
Zhu, Wanlong, Olga Ilkayeva, Jessica Gooding, et al.. (2014). Isoprenylcysteine carboxylmethyltransferase regulates mitochondrial respiration and cancer cell metabolism. Oncogene. 34(25). 3296–3304. 26 indexed citations
13.
Sinha, Rohit A., Benjamin L. Farah, Brijesh Kumar Singh, et al.. (2013). Caffeine stimulates hepatic lipid metabolism by the autophagy-lysosomal pathway in mice. Hepatology. 59(4). 1366–1380. 278 indexed citations
14.
Bible, Amber N., Xin Fang, Jessica Gooding, et al.. (2013). Integration of the Second Messenger c-di-GMP into the Chemotactic Signaling Pathway. mBio. 4(2). e00001–13. 52 indexed citations
15.
Ernest, Ben, Jessica Gooding, Shawn R. Campagna, Arnold M. Saxton, & Brynn H. Voy. (2012). MetabR: an R script for linear model analysis of quantitative metabolomic data. BMC Research Notes. 5(1). 596–596. 29 indexed citations
16.
Ji, Bo, Ben Ernest, Jessica Gooding, et al.. (2012). Transcriptomic and metabolomic profiling of chicken adipose tissue in response to insulin neutralization and fasting. BMC Genomics. 13(1). 441–441. 78 indexed citations
17.
Clasquin, Michelle, Eugene Melamud, A.U. Singer, et al.. (2011). Riboneogenesis in Yeast. Cell. 145(6). 969–980. 101 indexed citations
18.
Fairchild, Jacob N., Krisztián Horváth, Jessica Gooding, Shawn R. Campagna, & Georges Guiochon. (2010). Two-dimensional liquid chromatography/mass spectrometry/mass spectrometry separation of water-soluble metabolites. Journal of Chromatography A. 1217(52). 8161–8166. 35 indexed citations
19.
Campagna, Shawn R., Jessica Gooding, & Amanda L. May. (2009). Direct Quantitation of the Quorum Sensing Signal, Autoinducer-2, in Clinically Relevant Samples by Liquid Chromatography−Tandem Mass Spectrometry. Analytical Chemistry. 81(15). 6374–6381. 35 indexed citations
20.
Dalton, Nancy, J Roland, Jessica Gooding, et al.. (1986). Plasma Catecholamine Levels during Water Immersion in Man. Hormone and Metabolic Research. 18(10). 713–716. 15 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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