Kelly R. Jacobs

1.2k total citations
16 papers, 921 citations indexed

About

Kelly R. Jacobs is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Kelly R. Jacobs has authored 16 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biological Psychiatry, 13 papers in Behavioral Neuroscience and 7 papers in Psychiatry and Mental health. Recurrent topics in Kelly R. Jacobs's work include Tryptophan and brain disorders (15 papers), Stress Responses and Cortisol (13 papers) and Bipolar Disorder and Treatment (6 papers). Kelly R. Jacobs is often cited by papers focused on Tryptophan and brain disorders (15 papers), Stress Responses and Cortisol (13 papers) and Bipolar Disorder and Treatment (6 papers). Kelly R. Jacobs collaborates with scholars based in Australia, Sweden and Malaysia. Kelly R. Jacobs's co-authors include Gilles J. Guillemin, Chai K. Lim, Bruce J. Brew, David B. Lovejoy, Bianca Varney, Gayathri Sundaram, Michael D. Lovelace, Matthew J. Lennon, Gloria Castellano‐González and Pratishtha Chatterjee and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Kelly R. Jacobs

16 papers receiving 917 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kelly R. Jacobs Australia 13 641 320 276 233 148 16 921
Nicholas Stoy United Kingdom 16 800 1.2× 461 1.4× 446 1.6× 286 1.2× 161 1.1× 28 1.5k
Kamila Landucci Bonifácio Brazil 16 379 0.6× 176 0.6× 148 0.5× 202 0.9× 99 0.7× 28 855
Elena Y. Bryleva United States 12 320 0.5× 170 0.5× 290 1.1× 116 0.5× 214 1.4× 14 931
Margareta Porsmyr‐Palmertz Sweden 8 362 0.6× 254 0.8× 288 1.0× 99 0.4× 333 2.3× 11 951
Tina Franklin United States 9 593 0.9× 389 1.2× 213 0.8× 99 0.4× 97 0.7× 11 1.1k
Michael Maes Thailand 14 390 0.6× 152 0.5× 118 0.4× 231 1.0× 93 0.6× 37 675
Yong‐Jie Lian China 13 411 0.6× 279 0.9× 202 0.7× 63 0.3× 76 0.5× 17 882
Keiko Tsuchie Japan 14 340 0.5× 124 0.4× 272 1.0× 130 0.6× 90 0.6× 27 686
Shunjie Bai China 19 399 0.6× 162 0.5× 480 1.7× 44 0.2× 242 1.6× 44 952
Murat Eren Özen Türkiye 11 298 0.5× 165 0.5× 89 0.3× 204 0.9× 72 0.5× 36 710

Countries citing papers authored by Kelly R. Jacobs

Since Specialization
Citations

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

Fields of papers citing papers by Kelly R. Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kelly R. Jacobs. 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 Kelly R. Jacobs. The network helps show where Kelly R. Jacobs may publish in the future.

Co-authorship network of co-authors of Kelly R. Jacobs

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

All Works

16 of 16 papers shown
1.
Jacobs, Kelly R., Paul Maruff, Alan Rembach, et al.. (2022). Systemic perturbations of the kynurenine pathway precede progression to dementia independently of amyloid-β. Neurobiology of Disease. 171. 105783–105783. 11 indexed citations
2.
Wright, Amanda L., Paul A. Della Gatta, Sheng Le, et al.. (2021). Riluzole does not ameliorate disease caused by cytoplasmic TDP‐43 in a mouse model of amyotrophic lateral sclerosis. European Journal of Neuroscience. 54(6). 6237–6255. 16 indexed citations
3.
Jacobs, Kelly R., et al.. (2021). Effects of stress associated with academic examination on the kynurenine pathway profile in healthy students. PLoS ONE. 16(6). e0252668–e0252668. 13 indexed citations
4.
Jacobs, Kelly R., et al.. (2021). Psychological Stresses in Children Trigger Cytokine- and Kynurenine Metabolite-Mediated Abdominal Pain and Proinflammatory Changes. Frontiers in Immunology. 12. 702301–702301. 6 indexed citations
5.
Červenka, Igor, Duarte M. S. Ferreira, Jorge C. Correia, et al.. (2021). Effects of Tryptophan Supplementation and Exercise on the Fate of Kynurenine Metabolites in Mice and Humans. Metabolites. 11(8). 508–508. 17 indexed citations
6.
Jelinek, George A, Chelsea R. Brown, Chai K. Lim, et al.. (2020). Metabolomic Biomarkers of Multiple Sclerosis: A Systematic Review. Frontiers in Molecular Biosciences. 7. 574133–574133. 20 indexed citations
7.
Kindler, Jochen, Chai K. Lim, Cynthia Shannon Weickert, et al.. (2019). Dysregulation of kynurenine metabolism is related to proinflammatory cytokines, attention, and prefrontal cortex volume in schizophrenia. Molecular Psychiatry. 25(11). 2860–2872. 211 indexed citations
8.
Chatterjee, Pratishtha, Henrik Zetterberg, Kathryn Goozee, et al.. (2019). Plasma neurofilament light chain and amyloid-β are associated with the kynurenine pathway metabolites in preclinical Alzheimer’s disease. Journal of Neuroinflammation. 16(1). 186–186. 52 indexed citations
9.
Jacobs, Kelly R., Chai K. Lim, Kaj Blennow, et al.. (2019). Correlation between plasma and CSF concentrations of kynurenine pathway metabolites in Alzheimer's disease and relationship to amyloid-β and tau. Neurobiology of Aging. 80. 11–20. 97 indexed citations
10.
Castellano‐González, Gloria, Kelly R. Jacobs, Emily K. Don, et al.. (2019). Kynurenine 3-Monooxygenase Activity in Human Primary Neurons and Effect on Cellular Bioenergetics Identifies New Neurotoxic Mechanisms. Neurotoxicity Research. 35(3). 530–541. 40 indexed citations
11.
Garcez, Michelle Lima, Kelly R. Jacobs, & Gilles J. Guillemin. (2019). Microbiota Alterations in Alzheimer’s Disease: Involvement of the Kynurenine Pathway and Inflammation. Neurotoxicity Research. 36(2). 424–436. 42 indexed citations
12.
Jacobs, Kelly R., Gilles J. Guillemin, & David B. Lovejoy. (2018). Development of a Rapid Fluorescence-Based High-Throughput Screening Assay to Identify Novel Kynurenine 3-Monooxygenase Inhibitor Scaffolds. SLAS DISCOVERY. 23(6). 554–560. 8 indexed citations
13.
Jacobs, Kelly R., et al.. (2018). Inhibiting the kynurenine pathway in spinal cord injury: Multiple therapeutic potentials?. Neural Regeneration Research. 13(12). 2073–2073. 16 indexed citations
14.
Chatterjee, Pratishtha, Kathryn Goozee, Chai K. Lim, et al.. (2018). Alterations in serum kynurenine pathway metabolites in individuals with high neocortical amyloid-β load: A pilot study. Scientific Reports. 8(1). 8008–8008. 44 indexed citations
15.
Jacobs, Kelly R., Gloria Castellano‐González, Gilles J. Guillemin, & David B. Lovejoy. (2017). Major Developments in the Design of Inhibitors along the Kynurenine Pathway. Current Medicinal Chemistry. 24(23). 2471–2495. 54 indexed citations
16.
Lovelace, Michael D., Bianca Varney, Gayathri Sundaram, et al.. (2016). Recent evidence for an expanded role of the kynurenine pathway of tryptophan metabolism in neurological diseases. Neuropharmacology. 112(Pt B). 373–388. 274 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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