Philip Tan

509 total citations
10 papers, 382 citations indexed

About

Philip Tan is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology. According to data from OpenAlex, Philip Tan has authored 10 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in Philip Tan's work include Monoclonal and Polyclonal Antibodies Research (9 papers), Glycosylation and Glycoproteins Research (3 papers) and T-cell and B-cell Immunology (3 papers). Philip Tan is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (9 papers), Glycosylation and Glycoproteins Research (3 papers) and T-cell and B-cell Immunology (3 papers). Philip Tan collaborates with scholars based in United States, South Africa and Russia. Philip Tan's co-authors include Patrick S. Stayton, Jefferson Foote, Brenda M. Sandmaier, Claudio Anasetti, Juan C. Almagro, William Ying Khee Hwang, David A. Mitchell, Margaret A. Holmes, Paul J. Martin and John A. Hansen and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Cancer Research.

In The Last Decade

Philip Tan

10 papers receiving 359 citations

Peers

Philip Tan

RNMI

IMMUN

ONCOL

BIOMA

Leon Carayannopoulos United States

Laurie Phillips United States

Alice Bakker United States

E. Seccamani Italy

Dmitrij Hristodorov Germany

Malin Lindborg Sweden

Mario Regazzoni Italy

Anna Maria Anastasi Italy

Sarah J. Moore United States

Kausar N. Samli United States

Leon Carayannopoulos United States

Philip Tan

357 ×1.5

190 ×0.9

RNMI

219 ×2.3

IMMUN

101 ×2.3

ONCOL

36 ×1.0

BIOMA

Citations per year, relative to Philip Tan Philip Tan (= 1×) peers Leon Carayannopoulos

Countries citing papers authored by Philip Tan

Since Specialization

Citations

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

Fields of papers citing papers by Philip Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Tan

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

All Works

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10 of 10 papers shown

Blankenship, John W., Lynda Misher, Nicole Zhang, et al.. (2016). Abstract 4995: anti-ROR1 x anti-CD3 ADAPTIR™ molecule, ES425, redirects T-cell cytotoxicity and inhibits tumor growth in preclinical models of triple-negative breast cancer. Cancer Research. 76(14_Supplement). 4995–4995. 3 indexed citations

Hayden-Ledbetter, Martha, Erik Espling, William Brady, et al.. (2009). CD20-Directed Small Modular Immunopharmaceutical, TRU-015, Depletes Normal and Malignant B Cells. Clinical Cancer Research. 15(8). 2739–2746. 27 indexed citations

Hwang, William Ying Khee, et al.. (2005). Use of human germline genes in a CDR homology-based approach to antibody humanization. Methods. 36(1). 35–42. 69 indexed citations

Tan, Philip, et al.. (2002). “Superhumanized” Antibodies: Reduction of Immunogenic Potential by Complementarity-Determining Region Grafting with Human Germline Sequences: Application to an Anti-CD28. The Journal of Immunology. 169(2). 1119–1125. 70 indexed citations

Stayton, Patrick S., Allan S. Hoffman, Niren Murthy, et al.. (2000). Molecular engineering of proteins and polymers for targeting and intracellular delivery of therapeutics. Journal of Controlled Release. 65(1-2). 203–220. 77 indexed citations

Tan, Philip, Brenda M. Sandmaier, & Patrick S. Stayton. (1998). Contributions of a Highly Conserved VH/VL Hydrogen Bonding Interaction to scFv Folding Stability and Refolding Efficiency. Biophysical Journal. 75(3). 1473–1482. 45 indexed citations

Tan, Philip, Vano Chu, James E. Stray, et al.. (1998). Engineering the isoelectric point of a renal cell carcinoma targeting antibody greatly enhances scFv solubility. Immunotechnology. 4(2). 107–114. 24 indexed citations

Tan, Philip, Brenda M. Sandmaier, & Patrick S. Stayton. (1995). Characterization of an Anti-Cd44 Single-Chain F _V Antibody That Stimulates Natural Killer Cell Activity and Induces TNFα Release. Immunological Investigations. 24(6). 907–926. 7 indexed citations

Tan, Philip, Yanfang Liu, Erlinda B. Santos, & Brenda M. Sandmaier. (1995). Mechanisms of Enhancement of Natural Killer Activity by an Antibody to CD44: Increase in Conjugate Formation and Release of Tumor Necrosis Factor α. Cellular Immunology. 164(2). 255–264. 21 indexed citations

10.

Anasetti, Claudio, Philip Tan, John A. Hansen, & Paul J. Martin. (1990). Induction of specific nonresponsiveness in unprimed human T cells by anti-CD3 antibody and alloantigen.. The Journal of Experimental Medicine. 172(6). 1691–1700. 39 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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