Paul J. Jansen

1.3k total citations
11 papers, 1.1k citations indexed

About

Paul J. Jansen is a scholar working on Immunology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Paul J. Jansen has authored 11 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 7 papers in Molecular Biology and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Paul J. Jansen's work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (4 papers) and Immunotherapy and Immune Responses (3 papers). Paul J. Jansen is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (4 papers) and Immunotherapy and Immune Responses (3 papers). Paul J. Jansen collaborates with scholars based in United States and Kenya. Paul J. Jansen's co-authors include Thomas F. Tedder, Shinichi Sato, Ann S. Miller, Manabu Fujimoto, Jonathan C. Poe, Makoto Inaoki, Mimi L.K. Tang, Cheryl B. Bock, Douglas A. Steeber and Clifford A. Lowell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Immunity.

In The Last Decade

Paul J. Jansen

11 papers receiving 1.1k citations

Peers

Paul J. Jansen
Daisuke Hata Japan
Kathy Strauch United States
Alain Vallé France
Kevin T. Merrell United States
Gemma Texidó Italy
Heinrich Flaswinkel Germany
Alexandra Schebesta Austria
K Toyoshima Japan
Hyewon Phee United States
James Hunt United Kingdom
Daisuke Hata Japan
Paul J. Jansen
Citations per year, relative to Paul J. Jansen Paul J. Jansen (= 1×) peers Daisuke Hata

Countries citing papers authored by Paul J. Jansen

Since Specialization
Citations

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

Fields of papers citing papers by Paul J. Jansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul J. Jansen. 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 Paul J. Jansen. The network helps show where Paul J. Jansen may publish in the future.

Co-authorship network of co-authors of Paul J. Jansen

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

All Works

11 of 11 papers shown
1.
Noland, Gregory S., Paul J. Jansen, John Vulule, et al.. (2014). Effect of transmission intensity and age on subclass antibody responses to Plasmodium falciparum pre-erythrocytic and blood-stage antigens. Acta Tropica. 142. 47–56. 18 indexed citations
2.
Jansen, Paul J., et al.. (2002). For Nonprofits, Time Is Money. The McKinsey Quarterly. 124. 5 indexed citations
3.
Dhar, Sumeer, Rhonda L. Bitting, Svetlana N. Rylova, et al.. (2002). Flupirtine blocks apoptosis in batten patient lymphoblasts and in human postmitotic CLN3‐ and CLN2‐deficient neurons. Annals of Neurology. 51(4). 448–466. 60 indexed citations
4.
Rylova, Svetlana N., Andrea Amalfitano, Dixie‐Ann Persaud‐Sawin, et al.. (2002). The CLN3 gene is a novel molecular target for cancer drug discovery.. PubMed. 62(3). 801–8. 45 indexed citations
5.
Fujimoto, Manabu, Yoko Fujimoto, Jonathan C. Poe, et al.. (2000). CD19 Regulates Src Family Protein Tyrosine Kinase Activation in B Lymphocytes through Processive Amplification. Immunity. 13(1). 47–57. 165 indexed citations
6.
Poe, Jonathan C., Manabu Fujimoto, Paul J. Jansen, Ann S. Miller, & Thomas F. Tedder. (2000). CD22 Forms a Quaternary Complex with SHIP, Grb2, and Shc. Journal of Biological Chemistry. 275(23). 17420–17427. 104 indexed citations
7.
Fujimoto, Manabu, Jonathan C. Poe, Paul J. Jansen, Shinichi Sato, & Thomas F. Tedder. (1999). CD19 Amplifies B Lymphocyte Signal Transduction by Regulating Src-Family Protein Tyrosine Kinase Activation. The Journal of Immunology. 162(12). 7088–7094. 103 indexed citations
8.
Sato, Shinichi, Douglas A. Steeber, Paul J. Jansen, & Thomas F. Tedder. (1997). CD19 expression levels regulate B lymphocyte development: human CD19 restores normal function in mice lacking endogenous CD19. The Journal of Immunology. 158(10). 4662–4669. 124 indexed citations
9.
Sato, Shinichi, Paul J. Jansen, & Thomas F. Tedder. (1997). CD19 and CD22 expression reciprocally regulates tyrosine phosphorylation of Vav protein during B lymphocyte signaling. Proceedings of the National Academy of Sciences. 94(24). 13158–13162. 96 indexed citations
10.
Tedder, Thomas F. & Paul J. Jansen. (1997). Isolation and Generation of Human Dendritic Cells. Current Protocols in Immunology. 23(1). 7.32.1–7.32.16. 9 indexed citations
11.
Sato, Shinichi, Ann S. Miller, Makoto Inaoki, et al.. (1996). CD22 Is Both a Positive and Negative Regulator of B Lymphocyte Antigen Receptor Signal Transduction: Altered Signaling in CD22-Deficient Mice. Immunity. 5(6). 551–562. 382 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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