Jordan Wilkins

634 total citations
11 papers, 395 citations indexed

About

Jordan Wilkins is a scholar working on Molecular Biology, Physiology and Virology. According to data from OpenAlex, Jordan Wilkins has authored 11 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Virology. Recurrent topics in Jordan Wilkins's work include Metabolomics and Mass Spectrometry Studies (2 papers), HIV Research and Treatment (2 papers) and Tryptophan and brain disorders (2 papers). Jordan Wilkins is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (2 papers), HIV Research and Treatment (2 papers) and Tryptophan and brain disorders (2 papers). Jordan Wilkins collaborates with scholars based in United States, Canada and Poland. Jordan Wilkins's co-authors include Eugenia Trushina, Jingyou Yu, Shan‐Lu Liu, Chen Liang, Shilei Ding, Yi-Min Zheng, Minghua Li, Anthony M. Esposito, Benjamin K. Chen and Talia H. Swartz and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cell Reports.

In The Last Decade

Jordan Wilkins

9 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jordan Wilkins United States	7	186	111	110	77	56	11	395
Julianna D. Zeidler Brazil	15	240 1.3×	98 0.9×	93 0.8×	35 0.5×	77 1.4×	24	671
Carolina Martín Chile	11	89 0.5×	65 0.6×	74 0.7×	24 0.3×	107 1.9×	15	332
Byung Oh Kim South Korea	8	132 0.7×	38 0.3×	84 0.8×	200 2.6×	71 1.3×	11	370
Ferit Tüzer United States	12	279 1.5×	184 1.7×	55 0.5×	150 1.9×	44 0.8×	14	596
Alessandro Cinti Canada	12	160 0.9×	29 0.3×	86 0.8×	62 0.8×	52 0.9×	15	375
Valentina Riva Italy	11	153 0.8×	43 0.4×	31 0.3×	21 0.3×	33 0.6×	19	362
Giorgia Napoletani Italy	8	130 0.7×	128 1.2×	101 0.9×	17 0.2×	171 3.1×	9	479
Dara P. Dowlatshahi United States	5	383 2.1×	235 2.1×	68 0.6×	13 0.2×	79 1.4×	7	839
Hugo Garneau Canada	10	156 0.8×	150 1.4×	122 1.1×	11 0.1×	108 1.9×	12	482
Jeddidiah W. D. Griffin United States	8	150 0.8×	95 0.9×	90 0.8×	6 0.1×	45 0.8×	10	334

Countries citing papers authored by Jordan Wilkins

Since Specialization

Citations

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

Fields of papers citing papers by Jordan Wilkins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jordan Wilkins

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

All Works

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11 of 11 papers shown

1.

Gakh, Oleksandr, Jordan Wilkins, Yong Guo, et al.. (2024). Infrared spectral profiling of demyelinating activity in multiple sclerosis brain tissue. Acta Neuropathologica Communications. 12(1). 146–146.

2.

Wilkins, Jordan, et al.. (2024). Proteomics analysis of periplaque and chronic inactive multiple sclerosis lesions. Frontiers in Molecular Neuroscience. 17. 1448215–1448215. 2 indexed citations

3.

Wilkins, Jordan, Oleksandr Gakh, Yong Guo, et al.. (2023). Biomolecular alterations detected in multiple sclerosis skin fibroblasts using Fourier transform infrared spectroscopy. Frontiers in Cellular Neuroscience. 17. 1223912–1223912. 3 indexed citations

4.

Wilkins, Jordan, Oleksandr Gakh, Parijat Kabiraj, et al.. (2020). Signatures of cell stress and altered bioenergetics in skin fibroblasts from patients with multiple sclerosis. Aging. 12(14). 15134–15156. 8 indexed citations

5.

Wilkins, Jordan, et al.. (2019). A comprehensive protocol for multiplatform metabolomics analysis in patient-derived skin fibroblasts. Metabolomics. 15(6). 83–83. 21 indexed citations

6.

Wilkins, Jordan & Eugenia Trushina. (2018). Application of Metabolomics in Alzheimer’s Disease. Frontiers in Neurology. 8. 719–719. 181 indexed citations

7.

Wilkins, Jordan, Yi-Min Zheng, Jingyou Yu, Chen Liang, & Shan‐Lu Liu. (2016). Nonhuman Primate IFITM Proteins Are Potent Inhibitors of HIV and SIV. PLoS ONE. 11(6). e0156739–e0156739. 19 indexed citations

8.

Li, Jilong, Jie Hou, Lin Sun, et al.. (2015). From Gigabyte to Kilobyte: A Bioinformatics Protocol for Mining Large RNA-Seq Transcriptomics Data. PLoS ONE. 10(4). e0125000–e0125000. 6 indexed citations

9.

Yu, Jingyou, Minghua Li, Jordan Wilkins, et al.. (2015). IFITM Proteins Restrict HIV-1 Infection by Antagonizing the Envelope Glycoprotein. Cell Reports. 13(1). 145–156. 130 indexed citations

10.

Wilkins, Jordan, et al.. (2014). A Conserved Motif Mediates both Multimer Formation and Allosteric Activation of Phosphoglycerate Mutase 5. Journal of Biological Chemistry. 289(36). 25137–25148. 25 indexed citations

11.

Wilkins, Jordan. (1989). Clinical implications of PCP, NMDA and opiate receptors.. PsycEXTRA Dataset. 95. 275–81.

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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