Mark A. Pilkinton

4.3k total citations
23 papers, 835 citations indexed

About

Mark A. Pilkinton is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, Mark A. Pilkinton has authored 23 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 9 papers in Immunology and 7 papers in Molecular Biology. Recurrent topics in Mark A. Pilkinton's work include Immune Cell Function and Interaction (6 papers), Cancer-related Molecular Pathways (5 papers) and HIV Research and Treatment (4 papers). Mark A. Pilkinton is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Cancer-related Molecular Pathways (5 papers) and HIV Research and Treatment (4 papers). Mark A. Pilkinton collaborates with scholars based in United States, Australia and Haiti. Mark A. Pilkinton's co-authors include O R Colamonici, S. Mallal, Raudel Sandoval, Oscar R. Colamonici, Wyatt J. McDonnell, Spyros A. Kalams, Gail Hecht, Athanasia Koutsouris, V. K. Viswanathan and Ivana Simonović and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Gastroenterology.

In The Last Decade

Mark A. Pilkinton

22 papers receiving 830 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark A. Pilkinton United States 15 295 255 169 127 113 23 835
Qihong Zhao United States 10 428 1.5× 261 1.0× 149 0.9× 89 0.7× 57 0.5× 21 792
Jun Siong Low United States 9 438 1.5× 442 1.7× 103 0.6× 87 0.7× 29 0.3× 12 931
Jacob Couturier United States 15 351 1.2× 216 0.8× 57 0.3× 167 1.3× 28 0.2× 31 847
Viraga Haridas United States 14 338 1.1× 354 1.4× 103 0.6× 222 1.7× 23 0.2× 22 941
Chuan‐Chu Chou United Kingdom 19 519 1.8× 615 2.4× 318 1.9× 98 0.8× 52 0.5× 22 1.4k
Nicolette Huijkman Netherlands 16 516 1.7× 114 0.4× 224 1.3× 160 1.3× 61 0.5× 31 1.2k
Jian Peng China 19 388 1.3× 408 1.6× 84 0.5× 133 1.0× 30 0.3× 35 1.0k
Sebastiano Sansano Switzerland 14 255 0.9× 737 2.9× 76 0.4× 236 1.9× 44 0.4× 21 1.2k
Henrike L. Schieferdecker Germany 18 165 0.6× 524 2.1× 98 0.6× 154 1.2× 30 0.3× 27 847
В. А. Шатров Germany 12 373 1.3× 217 0.9× 73 0.4× 109 0.9× 28 0.2× 16 769

Countries citing papers authored by Mark A. Pilkinton

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Pilkinton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Pilkinton. 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 Mark A. Pilkinton. The network helps show where Mark A. Pilkinton may publish in the future.

Co-authorship network of co-authors of Mark A. Pilkinton

This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Pilkinton. A scholar is included among the top collaborators of Mark A. Pilkinton 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 Mark A. Pilkinton. Mark A. Pilkinton 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.
Gaudieri, Silvana, Rama Gangula, Ramesh Ram, et al.. (2023). Tracking of activated cTfh cells following sequential influenza vaccinations reveals transcriptional profile of clonotypes driving a vaccine-induced immune response. Frontiers in Immunology. 14. 1133781–1133781.
2.
Mashayekhi, Mona, Celestine N. Wanjalla, Kakali Ghoshal, et al.. (2021). The soluble epoxide hydrolase inhibitor GSK2256294 decreases the proportion of adipose pro-inflammatory T cells. Prostaglandins & Other Lipid Mediators. 158. 106604–106604. 5 indexed citations
3.
Li, Jonathan Z., Evgenia Aga, Ronald J. Bosch, et al.. (2021). Time to Viral Rebound After Interruption of Modern Antiretroviral Therapies. Clinical Infectious Diseases. 74(5). 865–870. 41 indexed citations
4.
Soto, Cinque, Robin Bombardi, Robert S. Sinkovits, et al.. (2020). High Frequency of Shared Clonotypes in Human T Cell Receptor Repertoires. Cell Reports. 32(2). 107882–107882. 41 indexed citations
5.
Meyer, Anne R., Amy C. Engevik, Matthew T. Stier, et al.. (2020). Group 2 Innate Lymphoid Cells Coordinate Damage Response in the Stomach. Gastroenterology. 159(6). 2077–2091.e8. 64 indexed citations
6.
Gelbard, Alexander, Celestine N. Wanjalla, Christopher T. Wootten, et al.. (2020). The Proximal Airway Is a Reservoir for Adaptive Immunologic Memory in Idiopathic Subglottic Stenosis. The Laryngoscope. 131(3). 610–617. 17 indexed citations
7.
Chopra, Abha, Mina John, Shay Leary, et al.. (2019). Deep sequence analysis of HIV adaptation following vertical transmission reveals the impact of immune pressure on the evolution of HIV. PLoS Pathogens. 15(12). e1008177–e1008177. 18 indexed citations
8.
9.
McDonnell, Wyatt J., John R. Koethe, S. Mallal, et al.. (2018). High CD8 T-Cell Receptor Clonality and Altered CDR3 Properties Are Associated With Elevated Isolevuglandins in Adipose Tissue During Diet-Induced Obesity. Diabetes. 67(11). 2361–2376. 42 indexed citations
10.
Koethe, John R., Wyatt J. McDonnell, Arion Kennedy, et al.. (2017). Adipose Tissue is Enriched for Activated and Late-Differentiated CD8+ T Cells and Shows Distinct CD8+ Receptor Usage, Compared With Blood in HIV-Infected Persons. JAIDS Journal of Acquired Immune Deficiency Syndromes. 77(2). e14–e21. 23 indexed citations
11.
Abana, Chike O., Mark A. Pilkinton, Silvana Gaudieri, et al.. (2017). Cytomegalovirus (CMV) Epitope–Specific CD4+ T Cells Are Inflated in HIV+ CMV+ Subjects. The Journal of Immunology. 199(9). 3187–3201. 36 indexed citations
12.
13.
Itani, Hana A., Liang Xiao, Mohamed A. Saleh, et al.. (2016). CD70 Exacerbates Blood Pressure Elevation and Renal Damage in Response to Repeated Hypertensive Stimuli. Circulation Research. 118(8). 1233–1243. 140 indexed citations
14.
15.
Sandoval, Raudel, Mark A. Pilkinton, & Oscar R. Colamonici. (2009). Deletion of the p107/p130-binding domain of Mip130/LIN-9 bypasses the requirement for CDK4 activity for the dissociation of Mip130/LIN-9 from p107/p130-E2F4 complex. Experimental Cell Research. 315(17). 2914–2920. 14 indexed citations
16.
Pilkinton, Mark A., Raudel Sandoval, Kelly M. Schiabor Barrett, Xinyong Tian, & Oscar R. Colamonici. (2007). Mip/LIN-9 can inhibit cell proliferation independent of the pocket proteins. Blood Cells Molecules and Diseases. 39(3). 272–277. 4 indexed citations
17.
18.
Sandoval, Raudel, Jiaping Xue, Xinyong Tian, et al.. (2006). A mutant allele of BARA/LIN-9 rescues the cdk4−/− phenotype by releasing the repression on E2F-regulated genes. Experimental Cell Research. 312(13). 2465–2475. 12 indexed citations
19.
Pilkinton, Mark A., et al.. (2006). Mip/LIN-9 Regulates the Expression of B-Myb and the Induction of Cyclin A, Cyclin B, and CDK1. Journal of Biological Chemistry. 282(1). 168–175. 50 indexed citations
20.
Sandoval, Raudel, et al.. (2004). Different Requirements for the Cytostatic and Apoptotic Effects of Type I Interferons. Journal of Biological Chemistry. 279(31). 32275–32280. 43 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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