John Apgar

3.9k total citations
38 papers, 3.2k citations indexed

About

John Apgar is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, John Apgar has authored 38 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 19 papers in Molecular Biology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in John Apgar's work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (8 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). John Apgar is often cited by papers focused on Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (8 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). John Apgar collaborates with scholars based in United States, Japan and Switzerland. John Apgar's co-authors include Fu‐Tong Liu, Lan Yu, Daniel K. Hsu, Ichiro Kuwabara, Hideki Sano, Bhavya Bhavna Sharma, Shozo Izui, Luciano G. Frigeri, Mitsuomi Hirashima and Tohru Yamanaka and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

John Apgar

38 papers receiving 3.2k citations

Peers

Countries citing papers authored by John Apgar

Since Specialization

Citations

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

Fields of papers citing papers by John Apgar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Apgar

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Regnase-1 is essential for B cell homeostasis to prevent immunopathology 2021 ·The Journal of Experimental Medicine ·Numana Bhat, Richard Virgen‐Slane, Parham Ramezani-Rad, (unknown), Cindi Chen, (unknown), (unknown), Elaine Kao, John Apgar, Mingui Fu, Carl F. Ware, Robert C. Rickert	17
2	E3 Ubiquitin Ligase Fbw7 Regulates the Survival of Mature B Cells 2020 ·The Journal of Immunology ·Parham Ramezani-Rad, (unknown), John Apgar, Robert C. Rickert	7
3	Gsk3 is a metabolic checkpoint regulator in B cells 2017 ·Nature Immunology ·Julia Jellusova, Matthew H. Cato, John Apgar, Parham Ramezani-Rad, (unknown), Cindi Chen, Adam Richardson, Elaine M. Conner, Robert J. Benschop, James R. Woodgett, Robert C. Rickert	227
4	Threshold Levels of ABL Tyrosine Kinase Inhibitors Retained in Chronic Myeloid Leukemia Cells Determine Their Commitment to Apoptosis 2013 ·Cancer Research ·Thomas O’Hare, Christopher A. Eide, Anupriya Agarwal, Lauren T. Adrian, Matthew S. Zabriskie, (unknown), Dorian LaTocha, Kara Johnson, Huihong You, (unknown), Steven M. Riddle, Bryan D. Marks, Kurt W. Vogel, Dennis R. Koop, John Apgar, Jeffrey Tyner, Michael W. Deininger, Brian Druker	23
5	Bead-Based Multianalyte Flow Immunoassays 2007 ·Methods in molecular biology ·R Varró, Roy Chen, Homero Sepulveda, John Apgar	22
6	Cytometric bead array: a multiplexed assay platform with applications in various areas of biology 2004 ·Clinical Immunology ·Edward T. Morgan, Rudi Varro, Homero Sepulveda, Julia A. Ember, John Apgar, Jerry D. Wilson, Larry Lowe, Roy Chen, (unknown), Anissa Agadir, (unknown), David Ernst, Amitabh Gaur	395
7	Critical Role for Galectin-3 in Airway Inflammation and Bronchial Hyperresponsiveness in a Murine Model of Asthma 2004 ·American Journal Of Pathology ·Riaz I. Zuberi, Daniel K. Hsu, Ömer Kalaycı, Huan-Yuan Chen, Holly K. Sheldon, Lan Yu, John Apgar, Toshiaki Kawakami, Craig M. Lilly, Fu‐Tong Liu	147
8	Critical role of galectin-3 in phagocytosis by macrophages 2003 ·Journal of Clinical Investigation ·Hideki Sano, Daniel K. Hsu, John Apgar, Lan Yu, Bhavya Bhavna Sharma, Ichiro Kuwabara, Shozo Izui, Fu‐Tong Liu	304
9	Mast Cells: Receptors, Secretagogues, and Signaling 2002 ·Clinical Reviews in Allergy & Immunology ·Bhavya Bhavna Sharma, John Apgar, Fu‐Tong Liu	13
10	Inhibition of Antigen-Induced Mediator Release from IgE-Sensitized Cells by a Monoclonal Anti-FcεRI α-Chain Receptor Antibody: Implications for the Involvement of the Membrane-Proximal α-Chain Region in FcεRI-Mediated Cell Activation 2001 ·The Journal of Immunology ·Andreas Nechansky, Michael W. Robertson, (unknown), John Apgar, Franz Kricek	15
11	Role for IgE in Airway Secretions: IgE Immune Complexes Are More Potent Inducers Than Antigen Alone of Airway Inflammation in a Murine Model 2000 ·The Journal of Immunology ·Riaz I. Zuberi, John Apgar, (unknown), Fu‐Tong Liu	40
12	Human Galectin-3 Is a Novel Chemoattractant for Monocytes and Macrophages 2000 ·The Journal of Immunology ·Hideki Sano, Daniel K. Hsu, Lan Yu, John Apgar, Ichiro Kuwabara, Tohru Yamanaka, Mitsuomi Hirashima, Fu‐Tong Liu	423
13	Mutant RBL Mast Cells Defective in FcεRI Signaling and Lipid Raft Biosynthesis Are Reconstituted by Activated Rho-family GTPases 2000 ·Molecular Biology of the Cell ·Kenneth A. Field, John Apgar, Elizabeth Hong‐Geller, Reuben P. Siraganian, Barbara Baird, David Holowka	39
14	Activation of protein kinase C in rat basophilic leukemia cells stimulates increased production of phosphatidylinositol 4-phosphate and phosphatidylinositol 4,5-bisphosphate: correlation with actin polymerization. 1995 ·Molecular Biology of the Cell ·John Apgar	42
15	Polymerization of actin in RBL-2H3 cells can be triggered through either the IgE receptor or the adenosine receptor but different signaling pathways are used. 1994 ·Molecular Biology of the Cell ·John Apgar	16
16	Genome Digestion Is a Dispensable Consequence of Physiological Cell Death Mediated by Cytotoxic Τ Lymphocytes 1992 ·Molecular and Cellular Biology ·David S. Ucker, Patrice S. Obermiller, Walter Eckhart, John Apgar, Nathan A. Berger, Jennifer Hartt Meyers	50
17	Association of the crosslinked IgE receptor with the membrane skeleton is independent of the known signaling mechanisms in rat basophilic leukemia cells. 1991 ·PubMed ·John Apgar	8
18	Cytoskeletal function in CD8- and T cell receptor-mediated interaction of cytotoxic T lymphocytes with class I protein. 1991 ·The Journal of Experimental Medicine ·Anne M. O’Rourke, John Apgar, Kevin P. Kane, Eric Martz, M F Mescher	36
19	Antigen-induced cross-linking of the IgE receptor leads to an association with the detergent-insoluble membrane skeleton of rat basophilic leukemia (RBL-2H3) cells. 1990 ·The Journal of Immunology ·John Apgar	38
20	Triton X-100 extraction of P815 tumor cells: evidence for a plasma membrane skeleton structure. 1985 ·The Journal of Cell Biology ·John Apgar, S H Herrmann, John M. Robinson, M F Mescher	36

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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