Jonathan Adkins

2.1k total citations
18 papers, 421 citations indexed

About

Jonathan Adkins is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jonathan Adkins has authored 18 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jonathan Adkins's work include Cancer Genomics and Diagnostics (3 papers), Hedgehog Signaling Pathway Studies (2 papers) and Genomics and Phylogenetic Studies (2 papers). Jonathan Adkins is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Hedgehog Signaling Pathway Studies (2 papers) and Genomics and Phylogenetic Studies (2 papers). Jonathan Adkins collaborates with scholars based in United States, Saudi Arabia and Australia. Jonathan Adkins's co-authors include Winnie S. Liang, Shobana Sekar, Dan Doherty, Gordana Juric‐Sekhar, Robert F. Hevner, Lori Cuyugan, Jacquelyn McDonald, Geidy E. Serrano, Jessica Aldrich and Ahmet Kurdoglu and has published in prestigious journals such as Blood, Cancer Research and Acta Neuropathologica.

In The Last Decade

Jonathan Adkins

18 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Adkins United States 9 240 125 78 72 66 18 421
Annabel Christ Germany 14 321 1.3× 101 0.8× 44 0.6× 40 0.6× 58 0.9× 18 556
Limeng Dai China 13 211 0.9× 70 0.6× 69 0.9× 71 1.0× 34 0.5× 36 429
Catherine Vaurs‐Barrière France 15 324 1.4× 172 1.4× 29 0.4× 60 0.8× 32 0.5× 26 734
Avanita S. Prabowo Netherlands 9 359 1.5× 113 0.9× 143 1.8× 203 2.8× 61 0.9× 9 681
Manuèle Miné France 17 362 1.5× 110 0.9× 49 0.6× 38 0.5× 45 0.7× 27 612
Junehawk Lee South Korea 9 371 1.5× 221 1.8× 76 1.0× 128 1.8× 15 0.2× 20 569
Beatriz Sánchez‐Solana United States 11 359 1.5× 81 0.6× 109 1.4× 81 1.1× 21 0.3× 13 610
Ke-Yu Deng China 6 354 1.5× 120 1.0× 31 0.4× 48 0.7× 13 0.2× 8 527
Caroline Abadie France 8 265 1.1× 94 0.8× 28 0.4× 43 0.6× 33 0.5× 21 358
Natalia Martín-Martín Spain 15 357 1.5× 72 0.6× 20 0.3× 83 1.2× 47 0.7× 22 532

Countries citing papers authored by Jonathan Adkins

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Adkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Adkins

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

All Works

18 of 18 papers shown
1.
Adkins, Jonathan, et al.. (2024). Identifying Persons of Interest in Digital Forensics Using NLP-Based AI. Future Internet. 16(11). 426–426. 4 indexed citations
2.
Wang, Guannan, Sharadha Sakthikumar, Shukmei Wong, et al.. (2023). Genomic tumor analysis provides clinical guidance for the management of diagnostically challenging cancers in dogs. Journal of the American Veterinary Medical Association. 261(5). 668–677. 6 indexed citations
3.
Sekar, Shobana, Philipp Geiger, Jonathan Adkins, et al.. (2020). ACValidator: A novel assembly-based approach for in silico verification of circular RNAs. Biology Methods and Protocols. 5(1). bpaa010–bpaa010. 4 indexed citations
4.
Halperin, Rebecca F., Winnie S. Liang, Erica E. Tassone, et al.. (2019). Leveraging Spatial Variation in Tumor Purity for Improved Somatic Variant Calling of Archival Tumor Only Samples. Frontiers in Oncology. 9. 119–119. 10 indexed citations
5.
Liang, Winnie S., et al.. (2018). Whole Exome Library Construction for Next Generation Sequencing. Methods in molecular biology. 163–174. 8 indexed citations
6.
Liang, Winnie S., Christopher Dardis, Adrienne Helland, et al.. (2018). Identification of therapeutic targets in chordoma through comprehensive genomic and transcriptomic analyses. Molecular Case Studies. 4(6). a003418–a003418. 14 indexed citations
7.
Keats, Jonathan J., Lori Cuyugan, Jonathan Adkins, & Winnie S. Liang. (2018). Whole Genome Library Construction for Next Generation Sequencing. Methods in molecular biology. 1706. 151–161. 8 indexed citations
8.
Sekar, Shobana, Lori Cuyugan, Jonathan Adkins, Philipp Geiger, & Winnie S. Liang. (2018). Circular RNA expression and regulatory network prediction in posterior cingulate astrocytes in elderly subjects. BMC Genomics. 19(1). 340–340. 29 indexed citations
9.
Skerget, Sheri, Jessica Aldrich, Sara Nasser, et al.. (2018). Analysis of Sequential Patient Samples from the Mmrf Commpass Study Identifies a High Risk Progression Phenotype. Blood. 132(Supplement 1). 111–111. 2 indexed citations
10.
Amin, Amit Dipak, Winnie S. Liang, Lori Cuyugan, et al.. (2015). Evidence Suggesting That Discontinuous Dosing of ALK Kinase Inhibitors May Prolong Control of ALK+ Tumors. Cancer Research. 75(14). 2916–2927. 28 indexed citations
11.
Sekar, Shobana, Jacquelyn McDonald, Lori Cuyugan, et al.. (2014). Alzheimer's disease is associated with altered expression of genes involved in immune response and mitochondrial processes in astrocytes. Neurobiology of Aging. 36(2). 583–591. 152 indexed citations
12.
Juric‐Sekhar, Gordana, Jonathan Adkins, Dan Doherty, & Robert F. Hevner. (2012). Joubert syndrome: brain and spinal cord malformations in genotyped cases and implications for neurodevelopmental functions of primary cilia. Acta Neuropathologica. 123(5). 695–709. 69 indexed citations
13.
Bachmann‐Gagescu, Ruxandra, Gisele E. Ishak, Jennifer C. Dempsey, et al.. (2012). Genotype–phenotype correlation in CC2D2A-related Joubert syndrome reveals an association with ventriculomegaly and seizures. Journal of Medical Genetics. 49(2). 126–137. 50 indexed citations
14.
Adkins, Jonathan, et al.. (2007). Mammography as Screening for Coronary Artery Disease. The American Surgeon. 73(7). 717–721. 3 indexed citations
15.
Gamblin, T. Clark, et al.. (2004). Norepinephrine is a More Potent Inhibitor of Tumor Necrosis Factor over a Range of Doses than Dopamine. The American Surgeon. 70(6). 526–528. 2 indexed citations
16.
Adkins, Jonathan, Manuel R. Castresana, Zhongbiao Wang, & Walter H. Newman. (2004). Rapamycin Inhibits Release of Tumor Necrosis Factor-α from Human Vascular Smooth Muscle Cells. The American Surgeon. 70(5). 384–388. 15 indexed citations
17.
Adkins, Jonathan, Manuel R. Castresana, Zhongbiao Wang, & Walter H. Newman. (2004). Rapamycin inhibits release of tumor necrosis factor-alpha from human vascular smooth muscle cells.. PubMed. 70(5). 384–7; discussion 387. 16 indexed citations
18.
Adkins, Jonathan, William T. McKinney, Walter H. Newman, Manuel R. Castresana, & Jerry G. Webb. (2003). sur-7. Bacterial Lipopolysaccharide-stimulated Release of Tumor Necrosis Factor-a from the Isolated Rat Heart: The Effect of Aprotinin and Forskolin.. Southern Medical Journal. 96(Supplement). S77–S77. 1 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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