John A. Wilkins

6.7k total citations
130 papers, 5.4k citations indexed

About

John A. Wilkins is a scholar working on Molecular Biology, Immunology and Immunology and Allergy. According to data from OpenAlex, John A. Wilkins has authored 130 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 37 papers in Immunology and 33 papers in Immunology and Allergy. Recurrent topics in John A. Wilkins's work include Cell Adhesion Molecules Research (33 papers), Monoclonal and Polyclonal Antibodies Research (26 papers) and Advanced Proteomics Techniques and Applications (18 papers). John A. Wilkins is often cited by papers focused on Cell Adhesion Molecules Research (33 papers), Monoclonal and Polyclonal Antibodies Research (26 papers) and Advanced Proteomics Techniques and Applications (18 papers). John A. Wilkins collaborates with scholars based in Canada, United States and United Kingdom. John A. Wilkins's co-authors include Oleg V. Krokhin, Werner Ens, Kenneth G. Standing, Peter Nickerson, Stefan Schaub, David N. Rush, Tracey Weiler, Mihaela Antonovici, Dwayne G. Stupack and Heyu Ni and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

John A. Wilkins

129 papers receiving 5.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John A. Wilkins Canada 37 2.5k 1.1k 1.0k 913 724 130 5.4k
Risto Renkonen Finland 38 2.5k 1.0× 184 0.2× 1.5k 1.4× 1.4k 1.5× 336 0.5× 195 5.2k
Shaun R. McColl Australia 56 2.3k 0.9× 330 0.3× 5.1k 5.0× 710 0.8× 198 0.3× 170 8.8k
Robert C. Rees United Kingdom 39 2.2k 0.9× 205 0.2× 2.2k 2.2× 214 0.2× 341 0.5× 222 5.7k
Amos Baruch United States 30 2.2k 0.9× 159 0.1× 597 0.6× 156 0.2× 377 0.5× 60 3.8k
Lisa J. Zimmerman United States 29 4.3k 1.7× 699 0.6× 639 0.6× 175 0.2× 178 0.2× 53 5.5k
Kenneth C. Parker United States 33 4.5k 1.8× 2.4k 2.2× 2.8k 2.7× 70 0.1× 400 0.6× 65 7.9k
Hitoshi Hasegawa Japan 42 1.1k 0.5× 112 0.1× 2.3k 2.3× 690 0.8× 341 0.5× 190 5.1k
David Knight United Kingdom 28 1.5k 0.6× 281 0.3× 210 0.2× 598 0.7× 851 1.2× 46 3.1k
Jan Novák United States 63 4.3k 1.7× 947 0.9× 3.9k 3.8× 141 0.2× 274 0.4× 199 13.1k
Tsutomu Tsuji Japan 37 2.4k 1.0× 64 0.1× 1.0k 1.0× 991 1.1× 691 1.0× 168 4.9k

Countries citing papers authored by John A. Wilkins

Since Specialization
Citations

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

Fields of papers citing papers by John A. Wilkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John A. Wilkins

This figure shows the co-authorship network connecting the top 25 collaborators of John A. Wilkins. A scholar is included among the top collaborators of John A. 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 John A. Wilkins. John A. Wilkins 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.
Wu, Jiandong, et al.. (2022). T Cells Chemotaxis Migration Studies with a Multi-Channel Microfluidic Device. Micromachines. 13(10). 1567–1567. 8 indexed citations
2.
3.
Ho, Julie, Ravi C. Dwivedi, Peyman Ezzati, et al.. (2018). Activity-Based Protein Profiling of Intraoperative Serine Hydrolase Activities during Cardiac Surgery. Journal of Proteome Research. 17(10). 3547–3556. 7 indexed citations
4.
Ho, Julie, Patricia Hirt‐Minkowski, & John A. Wilkins. (2017). New developments in transplant proteomics. Current Opinion in Nephrology & Hypertension. 26(3). 229–234. 6 indexed citations
5.
Dwivedi, Ravi C., Victor Spicer, Claudio Rigatto, et al.. (2016). A proteomic evaluation of urinary changes associated with cardiopulmonary bypass. Clinical Proteomics. 13(1). 17–17. 8 indexed citations
6.
Li, Hongzhao, Xun Wu, Sen Hou, et al.. (2015). Phosphatidylinositol-3,4-Bisphosphate and Its Binding Protein Lamellipodin Regulate Chemotaxis of Malignant B Lymphocytes. The Journal of Immunology. 196(2). 586–595. 14 indexed citations
7.
Ho, Julie, David N. Rush, Oleg V. Krokhin, et al.. (2015). Elevated Urinary Matrix Metalloproteinase-7 Detects Underlying Renal Allograft Inflammation and Injury. Transplantation. 100(3). 648–654. 22 indexed citations
8.
Rydzak, Thomas, Oleg V. Krokhin, Peyman Ezzati, et al.. (2014). Insights into electron flux through manipulation of fermentation conditions and assessment of protein expression profiles in Clostridium thermocellum. Applied Microbiology and Biotechnology. 98(14). 6497–6510. 19 indexed citations
9.
Tran, Anh, John P. Cortens, Qiujiang Du, John A. Wilkins, & Kevin M. Coombs. (2012). Influenza Virus Induces Apoptosis via BAD-Mediated Mitochondrial Dysregulation. Journal of Virology. 87(2). 1049–1060. 64 indexed citations
10.
McQueen, Peter, Vic Spicer, Thomas Rydzak, et al.. (2012). Information‐dependent LC‐MS/MS acquisition with exclusion lists potentially generated on‐the‐fly: Case study using a whole cell digest of Clostridium thermocellum. PROTEOMICS. 12(8). 1160–1169. 20 indexed citations
11.
Fakhry, Youssef El, Haydar Alturaihi, Daniel Yacoub, et al.. (2012). Functional Interaction of CD154 Protein with α5β1 Integrin Is Totally Independent from Its Binding to αIIbβ3 Integrin and CD40 Molecules. Journal of Biological Chemistry. 287(22). 18055–18066. 25 indexed citations
12.
Tan, Jianglin, Peng Xu, Gaoxing Luo, et al.. (2010). Investigating the Role of P311 in the Hypertrophic Scar. PLoS ONE. 5(4). e9995–e9995. 53 indexed citations
13.
Dwivedi, Ravi C., et al.. (2009). The effects of infliximab therapy on the serum proteome of rheumatoid arthritis patients. Arthritis Research & Therapy. 11(2). R32–R32. 28 indexed citations
14.
Schaub, Stefan, John A. Wilkins, & Peter Nickerson. (2008). Proteomics and Renal Transplantation: Searching for Novel Biomarkers and Therapeutic Targets. Contributions to nephrology. 160. 65–75. 18 indexed citations
15.
Schaub, Stefan, John A. Wilkins, Mihaela Antonovici, et al.. (2005). Proteomic-Based Identification of Cleaved Urinary β2-microglobulin as a Potential Marker for Acute Tubular Injury in Renal Allografts. American Journal of Transplantation. 5(4). 729–738. 165 indexed citations
16.
King, Roy, Julie E. Gough, Allan Ronald, et al.. (1996). An Immunohistochemical Analysis of Naturally Occurring Chancroid. The Journal of Infectious Diseases. 174(2). 427–430. 32 indexed citations
17.
Stupack, Dwayne G., Caixia Shen, & John A. Wilkins. (1994). Control of Lymphocyte Integrin Function: Evidence for Multiple Contributing Factors. Cellular Immunology. 155(1). 237–245. 14 indexed citations
18.
Wilkins, John A., et al.. (1993). Lymphocyte-Synovial Cell Interactions: A Role for β1 and β3 Integrin-Mediated Adhesion to Cellular Fibronectin. Cellular Immunology. 146(2). 313–323. 6 indexed citations
19.
Meier, Michael, Pak C. Kwong, C.J. Frégeau, et al.. (1990). Cloning of a gene that encodes a new member of the human cytotoxic cell protease family. Biochemistry. 29(17). 4042–4049. 47 indexed citations
20.
Warrington, Richard, et al.. (1987). Characterization of IL-2 responsive synovial T lymphocytes in rheumatoid arthritis. Rheumatology International. 7(4). 147–151. 7 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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